tag:blogger.com,1999:blog-27542373545375244432024-03-05T15:23:45.255+11:00DataCore Australia - ANZ Storage Virtualization Info SiteInformation, commentary and updates from Australia / New Zealand on virtualization, business continuity solutions, FC SAN, iSCSI, high-availability, remote replication, disaster recovery and storage virtualization and SAN management solutions.DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.comBlogger572125tag:blogger.com,1999:blog-2754237354537524443.post-2354822864801155572017-03-28T09:30:00.000+11:002017-03-28T09:30:09.865+11:00Lenovo launches turnkey software-defined storage (SDS) appliances Powered by DataCore<span style="background-color: white; color: #333333; font-family: "helvetica neue" , "helvetica" , "arial" , sans-serif; font-size: 16px;">Lenovo has announced a series of turnkey software-defined storage (SDS) appliances that leverages its robust server platform combined with advanced storage virtualization software and multi-core optimizing parallel I/O – SANsymphony™ from DataCore Software. These new offerings are the latest milestone in Lenovo’s effort to drive adoption of software-defined data center technology, which offers compelling customer benefits such as higher agility and simplicity, as well as better cost economics.</span><br />
<span style="background-color: white; color: #333333; font-family: "helvetica neue" , "helvetica" , "arial" , sans-serif; font-size: 16px;"><br /></span>Press Release: <a href="http://news.lenovo.com/news-releases/lenovo-dx8200d-to-simplify-software-defined-storage-adoption.htm">LENOVO DX8200D TO SIMPLIFY SOFTWARE-DEFINED STORAGE ADOPTION</a><br />
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<a href="http://www3.lenovo.com/au/en/data-center/storage/software-defined-storage/Lenovo-Storage-DX8200D-powered-by-DataCore/p/77X2SHESH08"><img border="0" height="292" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjnn4_eNqzw2h_2RpAfI32m3AxiDDMZSUUSJXRZrQlbu1dGmvJxI1itB0syuqsGjyuuLb6YSYEH-txhqIPhTdY6xziOFaumv1SZSVFfq5P5M8cDfJh3N8kR3Uyn82RiFCcHSLt-41Fql64/s640/ANZLenovoCapture.PNG" width="590" /></a></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif; font-size: large;">For more details, product guides and videos, please click: </span><br />
<span style="font-family: "arial" , "helvetica" , sans-serif; font-size: large;"><a href="http://www3.lenovo.com/au/en/data-center/storage/software-defined-storage/Lenovo-Storage-DX8200D-powered-by-DataCore/p/77X2SHESH08">http://www3.lenovo.com/au/en/data-center/storage/software-defined-storage/Lenovo-Storage-DX8200D-powered-by-DataCore/p/77X2SHESH08</a></span>DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-24944370958037891862017-03-23T22:14:00.000+11:002017-03-23T22:14:20.105+11:00Big Day for DataCore: Strategic Partnership with Lenovo to Deliver Turnkey Simple Appliances to Fuel Mainstream Market Adoption of Software-defined Storage<div style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<img alt="Lenovo Storage DX8200D DataCore" data-displaymode="Original" src="https://www.datacore.com/sf-images/default-source/blog-images/lenovo_bannerheader_v2_950x200_2.jpg?sfvrsn=2" style="background: transparent; border: 0px; margin: 0px; max-width: 100%; outline: 0px; padding: 0px; vertical-align: baseline;" title="Lenovo_bannerheader_V2_950x200_2" /></div>
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Contributed by George Teixeira, President and CEO, DataCore Software</em></div>
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In every company’s life there are inflection points that create new possibilities and introduce new ways to serve its customers and become an even greater force in the marketplace. This last week, with the announcement of the <em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Lenovo Storage DX8200D Powered by DataCore</em>, DataCore had that kind of moment.</div>
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While <a href="http://news.lenovo.com/news-releases/lenovo-dx8200d-to-simplify-software-defined-storage-adoption.htm" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">this exciting announcement</a> is the culmination of a lot of work, and there are many people to thank, it is also a new beginning. </div>
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DataCore has always been a software-only company, and in fact, the flexibility inherent in software has always been a strength. That’s still true, but we know there are customers who prefer a fast-to-deploy all-in-one hardware appliance, with everything pre-installed, configured, optimized, and validated. With the Lenovo DX8200D, they can have it.</div>
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This new turnkey appliance makes it simple to gain flexibility and reduce costs, and it’s a great fit:</div>
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<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">When <strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datacore.com/solutions/business-objectives/investment-protection" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">heterogeneous storage</a></strong> needs to be managed, refreshed, or consolidated</li>
<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">When <strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datacore.com/solutions/business-objectives/faster-performance.aspx" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">application performance</a></strong> matters</li>
<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">When <strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datacore.com/solutions/business-objectives/continuous-availability" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">data availability</a></strong> is paramount</li>
<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">When you need resilient, scalable and simple-to-manage <strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="https://www.datacore.com/solutions/virtualization/Cloud-Computing.aspx" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">private cloud storage</a></strong></li>
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The DataCore and Lenovo combined appliance includes multi-core optimizing parallel I/O software that achieved the <a href="http://www.storageperformance.org/results/benchmark_results_spc1_top-ten" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">world’s record for storage performance in terms of response times and best price-performance</a>, according to the industry’s most respected and audited Storage Performance Council benchmark.</div>
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We’re very proud that Lenovo is leveraging our adaptive and self-tuning storage management and parallel I/O technology, experience and know-how to make it easier for the broader market to deploy software-defined storage in a simple, turnkey appliance backed by Lenovo’s one-stop shopping and support.</div>
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Whether you’re an end-user IT professional, a channel partner, or just an interested industry follower, we’d love to tell you more. Please take a moment to <a href="http://www.datacore.com/lenovo" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">learn more</a> or watch this brief video overview.<br />
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-52154854312629999092017-03-21T10:30:00.000+11:002017-03-21T10:30:32.648+11:00LENOVO DX8200D TO SIMPLIFY SOFTWARE-DEFINED STORAGE ADOPTION WITH APPLIANCES POWERED BY DATACORE<div class="separator" style="clear: both; text-align: center;">
<a href="http://news.lenovo.com/news-releases/lenovo-dx8200d-to-simplify-software-defined-storage-adoption.htm">http://news.lenovo.com/news-releases/lenovo-dx8200d-to-simplify-software-defined-storage-adoption.htm</a></div>
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<span style="background-color: white; color: #333333; font-family: "helvetica neue" , "helvetica" , "arial" , sans-serif; font-size: 16px;">Lenovo announced a turnkey software-defined storage (SDS) appliance that leverages its robust server platform combined with advanced storage virtualization software and multi-core optimizing parallel I/O – SANsymphony™ from DataCore Software. This new offering is the latest milestone in Lenovo’s effort to drive adoption of software-defined data center technology, which offers compelling customer benefits such as higher agility and simplicity, as well as better cost economics.</span></div>
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<span style="background-color: white; color: #333333; font-family: "helvetica neue" , "helvetica" , "arial" , sans-serif; font-size: 16px;">Lenovo plans to offer the DX8200D as a pre-integrated appliance, which promises to greatly simplify deployment and reduce management expenses while providing a single point of support. The latest offering in Lenovo’s SDS portfolio, it enables data centers to rapidly deploy a turnkey solution that harnesses the capabilities of existing SAN arrays. It can optimize heterogeneous storage infrastructures, enabling them to scale as needs grow and easily replace older storage arrays. Through the centralized interface, the DX8200D provides data protection, replication, de-duplication, compression, and other enterprise storage capabilities at a much lower price point than traditional SAN arrays.</span><br />
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Storage for Software Defined Data Centers</h2>
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<a href="http://shop.lenovo.com/us/en/systems/storage/sds/datacore/" style="font-size: small; font-weight: normal;">http://shop.lenovo.com/us/en/systems/storage/sds/datacore/</a><span style="font-size: x-small; font-weight: normal;"> </span></h2>
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As data growth continues to outpace IT budgets, you need a brand new approach to storage. The Lenovo Storage DX8200D powered by DataCore appliance allows you to architect block and file storage for faster performance while simplifying operations. This validated, turnkey solution provides easy scalability and single pane management at a fraction of the cost of legacy systems—without trade-offs in availability, reliability or functionality. Lenovo’s global leadership and innovation includes industry-leading reliability and world-class performance for business-critical applications and cloud deployments. You can directly obtain a single point of contact for 24/7 technical assistance from Lenovo’s support organization, which is rated #1 for overall x86 server customer satisfaction.</div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com3tag:blogger.com,1999:blog-2754237354537524443.post-81409106963631084852017-03-21T01:18:00.000+11:002017-03-21T01:18:20.025+11:00The Register: Lenovo gets into server-based storage virtualization with DataCore<div class="article_head multi_page" style="background-color: white; margin: 0px 0px 15px;">
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Our server, your software - let's play a SAN symphony together</h2>
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<span style="font-size: 1.14286em;"><b>Lenovo has struck a partnership with DataCore and plans to offer a Storage DX8200D appliance using DataCore software.</b></span></div>
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The two have history with their set of <a href="https://www.theregister.co.uk/2016/06/15/datacore_drops_spc1_bombshell/" style="color: #dd0000; text-decoration: none;" target="_blank">SPC-1 benchmark results</a> showing how parallel IO-processing DataCore software running on simple Lenovo servers apparently equals that of multi-million dollar storage array rigs from other suppliers.<br />
The DX8200D is a turnkey system, coming with SANsymphony software from DataCore, and Lenovo says it ships preconfigured, tested and optimised, and harnesses the capabilities of existing SAN arrays. The software virtualizes other arrays and adds their storage to the SANsymphony pool.<br />
The server is a Lenovo x3650 M5, as used in the SPC-1 benchmark runs, and comes with predictive failure analysis and a diagnostic panel for serviceability. IT comes with Lenovo XClarity management software which automates discovery, inventory tracking, real-time monitoring, configuration, fault detection, and alert handling.<br />
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<a href="https://regmedia.co.uk/2017/03/15/lenovo_dx200d.jpg?x=648&y=358&infer_y=1" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img alt="Lenovo_DX200D" border="0" height="220" src="https://regmedia.co.uk/2017/03/15/lenovo_dx200d.jpg?x=648&y=358&infer_y=1" style="border: 1px solid rgb(238, 238, 238);" width="400" /></a>...The SANsymphony software provides provides storage virtualization, data protection, replication, de-duplication, compression, and other enterprise storage capabilities, we’re told, at a much lower price point than traditional SAN arrays.<br />
Lenovo cites a <a href="https://www.techvalidate.com/product-research/datacore-sansymphony-v" style="color: #dd0000; text-decoration: none;" target="_blank">TechValidate research effort</a> to claim customers can “realise lower total cost of ownership, with an up to 90 per cent decrease in time spend on storage management and support tasks, up to a 75 per cent reduction in storage costs and up to 100 per cent reduction in storage-related downtime. With a 10-fold increase in performance, data centres also can realise higher availability of mission-critical data.” There’s grist for the channel mill.<br />
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Radhika Krishnan, Lenovo’s executive director and GM for software-defined data centre and networking in its Data Centre Group, issued a quote from the cannery, saying the DX820D “is in stark contrast to traditional storage offerings, from legacy vendors, which often-times require compromises in performance, availability, reliability and functionality — limiting the ability to scale and increasing CAPEX, power, cooling and footprint costs.”<br />
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Lenovo said its support provides 24 x 7 technical assistance for both hardware and software questions...</div>
DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com2tag:blogger.com,1999:blog-2754237354537524443.post-68782995789090151212017-02-21T10:30:00.000+11:002017-02-21T10:30:05.309+11:00Healthcare Customers Gain Critical Performance and Flexibility Benefits with DataCore Hyperconverged and Software-Defined Storage Solutions<div class="separator" style="clear: both; text-align: center;">
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<span style="background-color: white; font-family: "arial" , sans-serif; font-size: 12pt; text-align: justify;">Healthcare IT departments are challenged
every day to deliver life-saving system performance while keeping costs within
budget. That's why a growing number of healthcare institutions are turning
to </span><a href="http://www.datacore.com/" style="background-color: white; font-family: Arial, sans-serif; font-size: 12pt; text-align: justify;" target="_blank"><span style="color: #3366cc; text-decoration: none;">DataCore
Software</span></a><span style="background-color: white; font-family: "arial" , sans-serif; font-size: 12pt; text-align: justify;">, a leading provider of </span><a href="https://www.datacore.com/products/datacore-hyper-converged-virtual-san" style="background-color: white; font-family: Arial, sans-serif; font-size: 12pt; text-align: justify;" target="_blank"><span style="color: #3366cc; text-decoration: none;">Hyper-converged Virtual SAN</span></a><span style="background-color: white; font-family: "arial" , sans-serif; font-size: 12pt; text-align: justify;">, </span><a href="https://www.datacore.com/products/SANsymphony.aspx" style="background-color: white; font-family: Arial, sans-serif; font-size: 12pt; text-align: justify;" target="_blank"><span style="color: #3366cc; text-decoration: none;">Software-Defined
Storage</span></a><span style="background-color: white; font-family: "arial" , sans-serif; font-size: 12pt; text-align: justify;"> and </span><a href="https://www.datacore.com/products/parallel-io" style="background-color: white; font-family: Arial, sans-serif; font-size: 12pt; text-align: justify;" target="_blank"><span style="color: #3366cc; text-decoration: none;">Adaptive
Parallel I/O Software</span></a><span style="background-color: white; font-family: "arial" , sans-serif; font-size: 12pt; text-align: justify;">. DataCore enables these organizations to
address mission-critical IT challenges while maximizing the performance,
availability and utilization of IT resources - enhancing patient outcomes while
keeping costs low.</span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">"In healthcare, ultra-fast application
response times are critical," said George Teixeira, president and CEO of
DataCore Software. "Slow response from systems such as X-Rays, MRIs, or
CAT scans, or the inability to immediately access critical patient information
can have life-altering consequences, and as a result, delays are simply
unacceptable."<o:p></o:p></span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">Furthermore, with the ongoing and massive
data growth from medical images, including multi-dimensional, 3D and even
motion-based image formats, as well as the continuing move to electronic health
records, storage requirements and the cost to manage them are also on the rise.<o:p></o:p></span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">DataCore software delivers record-breaking
performance via its Parallel I/O technology, which pairs well with Lenovo's
powerful servers featuring x86-64 processors. The combination offers the
industry's fastest I/O response time and the best price-performance with
self-tuning features that automatically move data between spinning disks and
flash based on workload priorities. An example of a healthcare customer that
relies on DataCore and Lenovo is the Comprehensive Cancer Center at the
University of Puerto Rico (CCCUPR) -- one of the most advanced hospitals and
cancer research facilities in North America.<o:p></o:p></span></div>
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<b><span style="font-family: "arial" , sans-serif; font-size: 12pt;">The Comprehensive Cancer Center
at the University of Puerto Rico (CCCUPR)</span></b><span style="font-family: "arial" , sans-serif; font-size: 12pt;"><o:p></o:p></span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">CCCUPR needed a powerful, easy to operate and
flexible solution to manage its critical medical records and the growing
oncology imaging requirements from its Picture Archive & Communications
System (PACS). Since the hospital and the research center are separated by
about two miles, patient information also needed to be shared and protected
from unplanned events at all times. <o:p></o:p></span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">According to Luis M. Wilkes, director of
Information Systems for CCCUPR, "The combination of DataCore and Lenovo
has maximized IT infrastructure performance, availability and utilization by
delivering a high availability, software-defined storage solution to support
our operations. The DataCore-Lenovo solution ensures that critical health
information systems, such as our PACS, are available online and on demand.
Going forward, we have the flexibility to meet changing demands with DataCore
software running on Lenovo and virtualizing, protecting and accelerating our
systems and applications."<o:p></o:p></span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">CCCUPR now has six Lenovo Series x3650
servers running DataCore software at the primary site. For disaster recovery,
the solution includes advanced DataCore replication to two additional Lenovo
Series x3650 servers at the secondary location.<o:p></o:p></span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">A common thread among the many new healthcare
organizations that have deployed DataCore is that all have done so to achieve
significant gains in performance, scalability and reliability. DataCore enables
users to:<o:p></o:p></span></div>
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<li class="MsoNormal" style="background: white; margin-bottom: 7.5pt; text-align: justify;"><b><span style="font-family: "arial" , "sans-serif"; font-size: 12.0pt;">Speed Up Applications -</span></b><span style="font-family: "arial" , "sans-serif"; font-size: 12.0pt;"> Faster applications (databases, critical
applications, virtualized applications, etc.) means more transactions are
processed in less time, and more data is analyzed faster, leading to
increased productivity.<o:p></o:p></span></li>
</ul>
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<li class="MsoNormal" style="background: white; margin-bottom: 7.5pt; text-align: justify;"><b><span style="font-family: "arial" , "sans-serif"; font-size: 12.0pt;">Scale within Budget - </span></b><span style="font-family: "arial" , "sans-serif"; font-size: 12.0pt;">DataCore ensures the lowest TCO to scale-up or
scale-out. This enables users to run more workloads, with better
performance and availability, on far fewer servers and utilize the
infrastructure already in place for remarkable cost savings, both direct
and indirect (less power, cooling and space). Hardware-independent
software ensures services live beyond current generation of infrastructure
technology and change.<o:p></o:p></span></li>
</ul>
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<li class="MsoNormal" style="background: white; margin-bottom: 7.5pt; text-align: justify;"><b><span style="font-family: "arial" , "sans-serif"; font-size: 12.0pt;">Protect Data and Applications
- </span></b><span style="font-family: "arial" , "sans-serif"; font-size: 12.0pt;">DataCore provides the highest
availability with the fewest nodes. Highly-available infrastructure
reduces disruptions to business operations and decreases risk.<o:p></o:p></span></li>
</ul>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">The result is greater consolidation savings,
better performance and higher availability for critical healthcare
applications, databases, and other virtualized applications.<o:p></o:p></span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;"><br /></span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">For more information about DataCore's healthcare customer experiences with hyper-converged and software-defined storage, </span></div>
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<span style="font-family: "arial" , sans-serif; font-size: 12pt;">please visit </span><a href="https://www.datacore.com/solutions/major-verticals/healthcare" style="font-family: Arial, sans-serif; font-size: 12pt;" target="_blank">https://www.datacore.com/solutions/major-verticals/healthcare</a><span style="font-family: "arial" , sans-serif; font-size: 12pt;">.</span></div>
DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-15264295691436159592017-02-14T12:15:00.000+11:002017-02-20T12:15:32.702+11:00Digitalisation World: Learning Loves Core IT Challenges<div class="post-body entry-content" id="post-body-4656777208147532866" itemprop="articleBody" style="background-color: white; color: #222222; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13.2px; line-height: 1.4; position: relative; width: 570px;">
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<a href="http://www.datacore.com/Company/datacore-news-blog/datacore-news-blog/2017/01/25/digitalisation-world-learning-loves-core-it-challenges" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank"><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">https://digitalisationworld.com/article/50447/editorial</em></a></div>
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<a href="http://www.datacore.com/" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank"></a>DataCore Software says that a growing number of UK educational institutions are deploying its scalable storage services platform, SANsymphony™ to address their critical IT challenges, increase performance and reduce infrastructure costs.</div>
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From leading data and research-rich university seats of learning - including Oxford University and University of Birmingham - through to independent and state secondary schools, DataCore’s solutions are seeing an increased uptake for storage savings, failover, resilience and much faster performance. Spencer Webb, the University of Birmingham noted:-<br /><br /><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"> “Prior to the install of DataCore, failover was complicated and fully manual. We needed automatic resilience without human intervention. It needed to be fast, easy and cost effective, to work with our existing storage and support VMware.”</em><br /><br /><strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Modern Educational Instituions Today Demand a Faster and More Reliable Architecture to Drive their Key Applications and Workloads without the Enterprise Price Tag:</strong><br /><br />Just as enterprises need better performance and higher SLAs from their key applications, educational institutions now need the same, but typically have stricter budget considerations than their enterprise cousins. Successful education establishments need to seamlessly run any application, 24x7, deploying apps on any storage across many different environments. They can now do this and protect their existing investments by allowing legacy storage to sit behind DataCore to gain intelligent storage services such as auto-tiering, faster performance and a single management interface and view of their storage infrastructure.</div>
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So no matter how diverse the storage may be, or which topology the education establishment has chosen or inherited, DataCore’s software-defined solution offers the following benefits:<br /><br />- Applications run faster and uninterrupted.</div>
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- Existing storage is pooled, tiered and data protected automatically.<br /><br />- Storage assets are centralised and managed universally.<br /><br />The net result is better performance and availability for databases, VDI, and other applications, both virtualised and physical, at a much lower cost. That’s a critical point as another leading London University noted:<br /><br /><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">“DataCore is installed at both data centres and is critical to keep services running. We used to suffer downtime, now we can fail over to either site and we can still meet our SLAs – upgrades and maintenance can occur without any downtime on critical apps. As a result of running DataCore, Regents University </em>have reduced storage related costs by 25%.” Zubair Fakir, Regents University, London.<br /><br />Meanwhile, in the secondary school sector, whilst the number of uses and data sets are reduced and planned windows of maintenance are increased in the school holidays, availability of data and apps are now deemed as critical. One leading independent grammar school in the North of England noted:<br /><br /><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">“We are now thrilled with our optimised and highly available virtual environment. You simply get what you pay for in life. With DataCore, the install has been a breath of fresh air and I’m very confident in its ability to protect and optimise us for years to come.” </em>Simon Thompson, Network Manager, Bradford Grammar School.<br /><br />Benefits these institutions are receiving with DataCore include the ability to:<br /><br />- Maximise the value from storage investments, current and future.<br />- Optimise performance of latency-sensitive applications.<br />- Automate and centralise storage management.<br />- Enable “zero downtime, zero touch” availability of data.<br /><br />Schools & Further Education Colleges Need Hyper-converged Too – To Gain Greater Productivity, Ease and Flexibility:<br /><br />One such further education college in Southampton that wanted all the benefits of compute, storage, networking and virtualisation from a single hardware appliance, was Richard Taunton Sixth Form College, with over 1,300 students. Here, the IT team were keen to adopt hyper-converged across 40TB of usable storage space, which was delivered as a mirrored hyper-converged host using DataCore’s Virtual SAN Hyper-converged solution. At the sixth form college, local storage was presented as an iSCSI target to local VMs, and mirrored in an active-active configuration to the other host. Using DataCore’s inbuilt Auto Tiering functionality, the college is now able to utilise SSD Flash technology for rapid access to all their hot data, while seamlessly apportioning less utilised ‘cooler’ data to large SAS disks, saving on budget. The sixth form college was also able to downgrade their former maintenance contracts from the costly 24x7 with 4 hour response SLAs, to next business day SLAs, given that their hyper-converged mirrored system now seamlessly defaults to the other host.<br /><br /><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">“For schools and colleges of all sizes, it’s about maximising IT infrastructure performance, availability and utilisation by productively using smart software to virtualize and add the needed flexibility to meet changing demands,”</em> said George Teixeira, CEO and Co-Founder of DataCore. <em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">“Educational institutions’ IT infrastructures are often complex and decentralized, being the product of many years of accumulations and different departmental agendas. Additionally, their high-performance applications require predictable performance and scalability for a wide variety of mission-critical workloads such Oracle and SQL Server databases. By offering the best price-performance on the market, DataCore can ensure industry-best response times – making institutions’ IT faster and meaning their infrastructure can be massively consolidated, eliminating complexity.”</em><br /><br />The last words revert back to Spencer Wood, University of Birmingham:<br /><br />“Within the data centres, DataCore has exceeded our requirements. Day to day, we are not sure how we would operate without it.<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"> It immediately improved the performance of the VMs. We are now Auto Tiered to make the most of our storage which has lowered our costs, as we have been able to move off Fibre Channel. Downtime is now really simple for us. We can simply take a data centre offline and no services will be disrupted.”</em></div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-7917278618478279062017-02-07T12:22:00.000+11:002017-02-20T12:22:26.439+11:00Promise Technology's VTrak E5000 Series of Storage Solutions Certified as DataCore Ready<div class="contentbox" style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
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<a href="http://vmblog.com/archive/2017/02/07/promise-technology-s-vtrak-e5000-series-of-storage-solutions-certified-as-datacore-ready.aspx#.WJo4z28rKUl" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">http://vmblog.com/archive/2017/02/07/promise-technology-s-vtrak-e5000-series-of-storage-solutions-certified-as-datacore-ready.aspx#.WJo4z28rKUl</a></div>
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Leading storage solutions provider <a href="http://promise.com/" rel="nofollow" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Promise Technology Inc.</a> today announced that its <a href="http://promise.com/us/Products/VTrak/E5000" rel="nofollow" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">VTrak E5000 Series</a> of Fibre Channel to SAS storage solutions have been certified as DataCore Ready for <a href="http://www.datacore.com/" rel="nofollow" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">DataCore Software</a>'s SANsymphony software-defined storage and virtualization platform.</div>
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As consumers and businesses become more mobile, the need for data access, retrieval, and distribution from anywhere at any time means that data must be protected and available at all times. The changing nature of the data center also means that growing infrastructures are pushing the limits of bandwidth. A full-featured, affordable enterprise-level storage system that can accommodate business environments of all sizes, Promise's E5000 Series is versatile and scalable enough to meet the demands of IT departments, data centers, virtual environments, and high-performance computing. Redundant and active-active components of controllers, power supplies and cooling units provide optimal data availability and ensure continuous operation. The E5000 gives IT managers the ability to deploy 6/12 Gb SAS/SATA hard drives and SSDs, and contains flash arrays to optimize speed for key enterprise applications that need high-speed transfer rates and reduced latency.</div>
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When combined with DataCore's SANsymphony software-defined storage virtualization solution, the VTrak E5000 maximizes the performance, availability and utilization of IT infrastructures by virtualizing the storage hardware. This enables the E5000 to leverage SANsymphony's data services, and further augment reliability, functionality and performance. Data services supported by SANsymphony include synchronous mirroring, asynchronous replication, CDP, snapshots/backups, storage pooling, thin provisioning, data migration, and deduplication/compression. To learn more about SANsymphony, visit <a href="https://www.datacore.com/products/SANsymphony.aspx" rel="nofollow" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">https://www.datacore.com/products/SANsymphony.aspx</a>.</div>
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"DataCore's key strengths, in addition to parallel processing of I/O to increase workload productivity, include speeding up the response of mission-critical, enterprise-level applications and reducing the cost to meet performance expectations," said Carlos Carreras, senior vice president of worldwide business development and strategic alliances, DataCore Software. "As a result, we are pleased to certify the VTrak E5000 Series as DataCore Ready to help Promise Technology deliver the ultimate benefits of an affordable, high-performance Fibre Channel to SAS storage solution with advanced enterprise-level reliability and functionality."</div>
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The DataCore Ready Program identifies solutions that are trusted to enhance DataCore SANsymphony infrastructures. While DataCore solutions interoperate with common open and industry standard products, those that earn the "DataCore Ready" designation have completed additional verification testing. The DataCore Ready designation is awarded to third party products that have successfully met the verification criteria set by DataCore through the successful execution of a functional test plan and performance envelope tests.</div>
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"Promise has been working closely with DataCore for years to bring our customers additional capabilities to meet the bandwidth and storage requirements of IT departments, data centers and virtual environments," noted Vijay Char, president, Promise Technology USA. "With the VTrak E5000 Series now certified DataCore Ready, customers can seamlessly integrate our solutions with SANsymphony storage virtualization software for a superior level of compatibility and optimized performance."</div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-83530729765110355892017-02-02T12:17:00.000+11:002017-02-20T12:17:57.413+11:00The Register: NetApp Launches Two New All-Flash Arrays and Comparison with DataCore's Recent SPC-1 Results<div style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; text-align: center; vertical-align: baseline;">
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Read the full article here: <a href="http://www.datacore.com/Company/datacore-news-blog/datacore-news-blog/2017/02/01/the-register-netapp-launches-two-new-all-flash-arrays-and-comparison-with-datacore's-recent-spc-1-results" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">https://www.theregister.co.uk/2017/02/01/fresh_fast_little_flashers_from_netapp/</a></em></div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">SPC-1 result</strong></div>
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NetApp claims that the A700s is the fastest enterprise storage, citing a <a href="http://www.storageperformance.org/results/benchmark_results_spc1/spc1_v1_results_netapp/spc1_v1_results_netapp_a02002/A02002_ES.pdf" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Storage Performance Council SPC-1 Result</a>, saying:</div>
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The AFF A700s achieved 2,400,059.26 SPC-1 IOPS at an average response time of 0.69 milliseconds. It is the top-performing enterprise all-flash array among the major storage providers and in the top three overall on the SPC-1 Performance list.</div>
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A <a href="https://www.theregister.co.uk/2016/02/27/revolution_in_toptier_spc1_benchmarking/" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Huawei OceanStor 18800 V3</a> is number 2, scoring 3,010,007.37 IOPS at an average 0.92ms and a price/performance rating of $0.79. The A700s’ price/performance was better, at $0.62.</div>
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A 2-node DataCore Parallel Server holds the <a href="https://www.theregister.co.uk/2016/06/15/datacore_drops_spc1_bombshell/" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">SPC-1 record</a>, scoring 5,120,098.98 SPC-01 IOPS with an average 0.28ms response time and $0.10 price performance rating. It did so with a pair of Lenovo X3650 M5 servers, a mix of SSDs and HDDs mounted internally and externally, and 1.54TB of DRAM for caching plus parallel IO-serving software having multiple CPU cores handle the IO.</div>
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The A700s configuration in the benchmark featured a 12-node cluster (6 x 2-node HA pairs), each node having 512GB of DRAM/cache, meaning a total of 6TB DRAM.</div>
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How would NetApp describe DataCore's SPC-1 result coming from a system costing $506,525.24 while the A700s was priced at $1,493,103.71? Roughly speaking that's NetApp offering half the DataCore performance for more than twice the price.</div>
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Adam Fore, NetApp's director for product and solutions marketing, said: "We can't speculate on how DataCore got its results. However, in our view, comparing NetApp and DataCore's offerings is like comparing apples to oranges. The NetApp AFF A700s brings the full suite of enterprise-grade data management and data protection that customers are looking for as they build out the cloud-connected data centre."</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Comment</strong></div>
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The point of the SPC-1 benchmark is to compare systems in an apples-to-apples way with submitted systems subject to review. Here's what the <a href="http://www.storageperformance.org/results/benchmark_results_spc1_active/" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Storage Performance Council</a> says:</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">The SPC-1 Benchmark is designed to be vendor/platform independent and are applicable across a broad range of storage configuration and topologies. Any vendor should be able to sponsor and publish an SPC-1 Result, provided their tested configuration satisfies the requirements of the SPC-1 benchmark specification.</strong></div>
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In effect NetApp says, yes, the DataCore system is faster and costs less but it doesn't run our proprietary software, and that makes it unsuitable for enterprises.</div>
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It would be very interesting to see Dell EMC VMAX, Unity and XtremIO SPC-1 benchmarks, as well as ones for HPE's 3PAR, IBM's FlashSystems and also Pure's FlashArray. We're not holding our breath.</div>
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The rate of AFF innovation looks high, and this leaves us wondering when a new generation SolidFire array, one designed and engineered under NetApp ownership of SolidFire, will emerge.</div>
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We haven't seen any pricing but expect that the A200 will significantly lower the AFF entry-level pricing, while the A700s should do the same for entering the A700 performance level.</div>
DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-9646343147480760862017-02-01T12:08:00.000+11:002017-02-20T12:08:56.984+11:00Oxford University and University of Birmingham - UK Educational Institutions Turn to DataCore to Overcome Critical IT Challenges<div class="contentbox" style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
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<a href="http://vmblog.com/archive/2017/01/24/uk-educational-institutions-turn-to-datacore-to-overcome-critical-it-challenges.aspx#.WJS4VlMrKUl" style="background: transparent; border: 0px; color: #0072ce; font-size: 1.25rem; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">http://vmblog.com/archive/2017/01/24/uk-educational-institutions-turn-to-datacore-to-overcome-critical-it-challenges.aspx#.WJS4VlMrKUl</a></div>
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DataCore Software has announced that a growing number of UK educational institutions are deploying its scalable storage services platform, SANsymphony to address their critical IT challenges, increase performance and reduce infrastructure costs. From leading data and research-rich university seats of learning - including Oxford University and University of Birmingham - through to independent and state secondary schools, DataCore's solutions are seeing an increased uptake for storage savings, failover, resilience and much faster performance. Spencer Webb, the University of Birmingham noted:</div>
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">"Prior to the install of DataCore, failover was complicated and fully manual. We needed automatic resilience without human intervention. It needed to be fast, easy and cost effective, to work with our existing storage and support VMware."</em></div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Modern Educational Institutions Today Demand a Faster and More Reliable Architecture to Drive their Key Applications and Workloads without the Enterprise Price Tag:</strong></div>
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Just as enterprises need better performance and higher SLAs from their key applications, educational institutions now need the same, but typically have stricter budget considerations than their enterprise cousins. Successful education establishments need to seamlessly run any application, 24x7, deploying apps on any storage across many different environments. They can now do this and protect their existing investments by allowing legacy storage to sit behind DataCore to gain intelligent storage services such as auto-tiering, faster performance and a single management interface and view of their storage infrastructure.</div>
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So no matter how diverse the storage may be, or which topology the education establishment has chosen or inherited, DataCore's software-defined solution offers the following benefits:</div>
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<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Applications run faster and uninterrupted.</li>
<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Existing storage is pooled, tiered and data protected automatically.</li>
<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Storage assets are centralised and managed universally.</li>
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The net result is better performance and availability for databases, VDI, and other applications, both virtualised and physical, at a much lower cost. That's a critical point as another leading London University noted:</div>
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">"DataCore is installed at both data centres and is critical to keep services running. We used to suffer downtime, now we can fail over to either site and we can still meet our SLAs - upgrades and maintenance can occur without any downtime on critical apps. As a result of running DataCore, Regents University have reduced storage related costs by 25%."</em> Zubair Fakir, Regents University, London.</div>
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Meanwhile, in the secondary school sector, whilst the number of uses and data sets are reduced and planned windows of maintenance are increased in the school holidays, availability of data and apps are now deemed as critical. One leading independent grammar school in the North of England noted:</div>
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">"We are now thrilled with our optimised and highly available virtual environment. You simply get what you pay for in life. With DataCore, the install has been a breath of fresh air and I'm very confident in its ability to protect and optimise us for years to come."</em> Simon Thompson, Network Manager, Bradford Grammar School.</div>
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Benefits these institutions are receiving with DataCore include the ability to:</div>
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<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Maximise the value from storage investments, current and future.</li>
<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Optimise performance of latency-sensitive applications.</li>
<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Automate and centralise storage management.</li>
<li style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Enable "zero downtime, zero touch" availability of data.</li>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Schools & Further Education Colleges Need Hyper-converged Too - To Gain Greater Productivity, Ease and Flexibility:</strong></div>
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One such further education college in Southampton that wanted all the benefits of compute, storage, networking and virtualisation from a single hardware appliance, was Richard Taunton Sixth Form College, with over 1,300 students. Here, the IT team were keen to adopt hyper-converged across 40TB of usable storage space, which was delivered as a mirrored hyper-converged host using DataCore's Virtual SAN Hyper-converged solution. At the sixth form college, local storage was presented as an iSCSI target to local VMs, and mirrored in an active-active configuration to the other host. Using DataCore's inbuilt Auto Tiering functionality, the college is now able to utilise SSD Flash technology for rapid access to all their hot data, while seamlessly apportioning less utilised ‘cooler' data to large SAS disks, saving on budget. The sixth form college was also able to downgrade their former maintenance contracts from the costly 24x7 with 4 hour response SLAs, to next business day SLAs, given that their hyper-converged mirrored system now seamlessly defaults to the other host.<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"> </em></div>
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">"For schools and colleges of all sizes, it's about maximising IT infrastructure performance, availability and utilisation by productively using smart software to virtualize and add the needed flexibility to meet changing demands," </em>said George Teixeira, CEO and Co-Founder of DataCore<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">. "Educational institutions' IT infrastructures are often complex and decentralized, being the product of many years of accumulations and different departmental agendas. Additionally, their high-performance applications require predictable performance and scalability for a wide variety of mission-critical workloads such Oracle and SQL Server databases. By offering the best price-performance on the market, DataCore can ensure industry-best response times - making institutions' IT faster and meaning their infrastructure can be massively consolidated, eliminating complexity."</em></div>
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The last words revert back to Spencer Wood, University of Birmingham:</div>
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">"Within the data centres, DataCore has exceeded our requirements. Day to day, we are not sure how we would operate without it. It immediately improved the performance of the VMs. We are now Auto Tiered to make the most of our storage which has lowered our costs, as we have been able to move off Fibre Channel. Downtime is now really simple for us. We can simply take a data centre offline and no services will be disrupted."</em></div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-27555993713676836402017-01-20T11:54:00.000+11:002017-02-20T11:54:48.390+11:00DABCC: Hyper-converged Storage Podcast with Doug Brown and Sushant Rao<div style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-family: "open sans", "arial rounded mt bold", "helvetica rounded", arial, sans-serif; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; text-align: center; vertical-align: baseline;">
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<em style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">DABCC Radio: Episode 268</em><em style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datacore.com/Company/datacore-news-blog/datacore-news-blog/2017/01/09/dabcc-hyper-converged-storage-podcast-with-doug-brown-and-sushant-rao" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">http://www.dabcc.com/datacore-software-hyper-converged-storage-podcast-episode-268/</a></em></div>
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In episode 268, Douglas Brown interviews Sushant Rao, Sr. Director of Product &amp; Solutions Marketing at DataCore Software. Sushant and Douglas discuss DataCore Software’s hyper-converged storage solution. Sushant is another deep technical expert from DataCore and does a great job diving deep in to hyperconvergence, DataCore, storage, parallel processing and much more! This is a very technical deep dive from one of the industries true experts.</div>
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This is 4th in a series of podcasts with DataCore Software, if you missed the previous issues then look no further:</div>
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<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.dabcc.com/datacore-parallel-io-and-virtualized-storage-deep-dive-podcast-with-guru-ziya-aral-episode-248/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;"></a><a href="http://www.dabcc.com/datacore-parallel-io-and-virtualized-storage-deep-dive-podcast-with-guru-ziya-aral-episode-248/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">DataCore: Parallel I/O and Virtualized Storage Deep Dive Podcast with Guru Ziya Aral – Episode 248</a><a href="http://www.dabcc.com/datacore-parallel-io-and-virtualized-storage-deep-dive-podcast-with-guru-ziya-aral-episode-248/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;"></a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.dabcc.com/datacore-software-vmware-virtual-volumes-vvols-storage-podcast-episode-246/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;"></a><a href="http://www.dabcc.com/datacore-software-vmware-virtual-volumes-vvols-storage-podcast-episode-246/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">DataCore Software – VMware Virtual Volumes (VVols) Storage Podcast – Episode 246</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1.25rem; line-height: 1.5; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.dabcc.com/datacore-software-vmware-virtual-volumes-vvols-storage-podcast-episode-246/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;"></a><a href="http://www.dabcc.com/hyper-converged-a-noun-or-a-verb-e-podcast-with-datacore-software-episode-262/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Hyper-converged: A Noun or a Verb? Podcast with DataCore Software – Episode 262</a></li>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-71325520042599968782017-01-16T11:27:00.000+11:002017-02-20T11:28:28.979+11:00Parallel Processing Software Will be a 'Productivity Disrupter' and Game Changer in 2017<div style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://vmblog.com/archive/2017/01/17/datacore-2017-predictions-parallel-processing-software-will-be-a-productivity-disrupter-and-game-changer-in-2017.aspx#.WIErMVMrKUm" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">VMblog 2017 Virtualization and Cloud Prediction </a><br />Contributed by George Teixeira, President and CEO, DataCore Software</em></div>
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With so much computing power still sitting idle - despite all of the incredible technology advancements that have occurred - in 2017, the time is right for parallel processing software to go mainstream and unleash the immense processing power of today's multicore systems to positively disrupt the economic and productivity impact of what computing can do and where it can be applied.</div>
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New software innovations will make 2017 a breakout year for parallel processing. The key is that the software has to become simple to use and non-disruptive to applications to allow it to move from specialized use cases to general application usage. By doing so, the impact of this will be massive because application performance, enterprise workloads and greater consolidation densities on virtual platforms and in cloud computing that have been stifled by the growing gap between compute and I/O will no longer be held back. This will be realized with new parallel I/O software technologies now available that are easy to use, require no changes to the applications and are capable of fully leveraging the power of multicores to dramatically increase productivity and overcome the I/O bottleneck that has been holding back our industry; this is the catalyst of change.</div>
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Parallel processing software can now go beyond the realm of specialized uses such as HPC and areas like genomics that have focused primarily on computation, and impact the broader world of applications that require real-time responses and interactions. This includes mainstream applications and storage that drive business transactions, cloud computing, databases, data analytics, as well as the interactive worlds of machine learning and the Internet of Things (IoT).</div>
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The real driver of change is the economic and productivity disruption. Today, many new applications such as analytics are not practical because they require hundreds if not thousands of servers to get the job done; yet each server is becoming capable of supporting hundreds of multi-threading computing cores, all available to drive workloads that until now have sat there idle, waiting for work to do. We are ushering in an era where one server will do the work of 10 -- or 100 servers -- of the past. This will be the result of parallel processing software that unlocks the full utilization of multicores, leading to a revolution in productivity and making a new world of applications affordable to mainstream IT in 2017.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">The Impact on Real-time Analytics and Big Data Performance will be Profound</strong></div>
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The combination of faster response times and the multiplying impact on productivity through parallelization will fuel the next step forward in ‘real-time' analytics, big data and database performance. DataCore sees this as the next step forward in 2017. Our background in parallel processing, real-time I/O and software-defined storage has made our company uniquely well positioned to take advantage of the next big challenge in a world that requires the rate and amount of interactions and transactions to happen at a far faster pace with much faster response times.</div>
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The ability to do more work by doing it in parallel -- and to react quickly -- is the key. DataCore sees itself as helping to drive the step function change needed to make real-time analytics and big data performance practical and affordable. The implications on productivity and business decision making based on insights from data in areas such as financial, banking, retail, fraud detection, healthcare, and genomics, as well as machine learning and Internet of Things type applications, will be profound.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">The Microsoft Impact Arrives: Azure Stack, Hybrid Cloud, Windows and SQL Server 2016</strong></div>
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The success and growth of Microsoft's Azure Cloud has already become evident, however the real impact is the larger strategy of how Microsoft has worked to reconcile the world of on-premise and cloud computing. Microsoft was one of the first cloud vendors to recognize that the world is not just public clouds but that it will continue to be a mix of on-premise and cloud. Microsoft's Azure Stack continues to advance in making it seamless to get the benefits of cloud-like computing whether in the cloud or within a private cloud. It has become the model for hybrid cloud computing. Likewise, Microsoft continues to further integrate its Windows and server solutions to work more seamlessly with cloud capabilities.</div>
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While Windows and Azure get most of the attention, one of the most dramatic changes at Microsoft has been how it has reinvented and transformed its database offerings into a true big data and analytics platform for the future. It is time to take another look at SQL Server 2016; it is far more powerful and capable, and now deals with all types of data. As a platform, it is primed to work with Microsoft's large eco-system of marketplace partners, including DataCore with its parallel processing innovations, to redefine what is possible in the enterprise, the cloud, and with big data performance and real-time analytic use cases for traditional business applications, as well as new developing use cases in machine learning, cognitive computing and the Internet of Things.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Storage has Transformed; It's Servers + Software-Defined Infrastructure!</strong></div>
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We are the midst of an inevitable and increasing trend in which servers are defining what storage is. Escalating this trend DataCore used parallel I/O software technologies to power off-the-shelf multicore servers to drive the world's fastest storage systems in terms of performance, lowest latencies and best price-performance. Traditional storage systems can no longer keep up and are on the decline, and as a result, are increasingly being replaced by commodity servers and software-defined infrastructure solutions that can leverage their power to solve the growing data storage problem. The storage function and associated data services are now being driven by software and becoming another "application workload" running on these cost-efficient server platforms, and this wave of flexible server-based storage systems are already having a disruptive industry impact.</div>
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Marketed as server-SANs, virtual SANs, web-scale, scale-out and hyper-converged systems, they are a collection of standard off-the-shelf servers, flash cards and disk drives - but it is the software that truly defines their value differentiation. Storage has become a server game. Parallel processing software and the ability to leverage multicore server technology is the major game-changer. In combination with software-defined infrastructure, it will lead to a productivity revolution and further solidify "servers as the new storage." For additional information, see the following report:<a href="http://wikibon.com/server-san-readies-for-enterprise-and-cloud-domination/" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">http://wikibon.com/server-san-readies-for-enterprise-and-cloud-domination/</a></div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">What's Beyond Flash?</strong><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"></em></div>
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Remember when flash was the next big thing? Now it's here. What is the next step -- how do we go faster and do more with less? The answer is obvious; if flash is now here and yet performance and productivity are still an issue for many enterprise applications especially database use cases, then we need to parallelize the I/O processing. Why? It multiplies what can be done as a result of many compute engines working in parallel to process and remove bottlenecks and queuing delays higher up in the stack, near the application, so we avoid as much device level I/O as possible and drive performance and response times far beyond any single device level optimization that flash/SSD alone can deliver. The power of the ‘many' far exceed what only ‘one' can do - combining flash and parallel I/O enables users to drive more applications faster, do more work and open up applications and use cases that have been previously impossible to do.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Going Beyond Hyper-Convergence: Hyper-Productivity is the Real Objective</strong></div>
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As 2017 progresses, hyper-converged software will continue to grow in popularity but to cement its success, users will need to be able take full advantage of its productivity promise. The incredible power of parallel processing software will enable users to take advantage of what their hardware and software can do (see this video from <a href="https://www.youtube.com/watch?v=A4MJzQIWb7Q" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">ESG</a> as an example).</div>
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Hyper-converged systems today are in essence a server plus a software-defined infrastructure, but often they are severely restricted in terms of performance and use cases and too often lack needed flexibility and a path for integration within the larger IT environment (for instance not supporting fibre channel, which often is key to enterprise and database connectivity). Powerful software-defined storage technologies that can do parallel I/O effectively provide a higher level of flexibility and leverage the power of multicore servers so fewer nodes are needed to get the work done, making them more cost-effective. Likewise, the software can incorporate existing flash and disk storage without creating additional silos; migrate and manage data across the entire storage infrastructure; and effectively utilize data stored in the cloud.</div>
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Data infrastructures including hyper-converged systems can all benefit from these advances through advanced parallel I/O software technologies that can dramatically increase their productivity by untapping the power that lies within standard multicore servers. While hyper-converged has become the buzzword of the day, let's remember the real objective is to achieve the most productivity at the lowest cost, therefore better utilization of one's storage and servers to drive applications is the key.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">The Next Giant Leap Forward - Leveraging the Multiplier Impact of Parallel Processing on Productivity</strong></div>
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This combination of powerful software and servers will drive greater functionality, more automation, and comprehensive services to productively manage and store data across the entire data infrastructure. It will lead to a new era where the benefits of multicore parallel processing can be applied universally. These advances (which are already before us) are key to solving the problems caused by slow I/O and inadequate response times that have been responsible for holding back application workload performance and cost savings from consolidation. The advances in multicore processing, parallel processing software and software-defined infrastructure, collectively, are fundamental to achieving the next giant leap forward in business productivity.</div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-37834176478868986112017-01-15T12:03:00.000+11:002017-02-20T12:04:29.153+11:00AccelStor's NeoSapphire All-Flash Arrays Now Certified DataCore Ready<div class="contentbox" style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datacore.com/Company/datacore-news-blog/datacore-news-blog/2017/01/17/vmblog-accelstor's-neosapphire-all-flash-arrays-now-certified-datacore-ready" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">http://vmblog.com/archive/2017/01/17/accelstor-s-neosapphire-all-flash-arrays-now-certified-datacore-ready.aspx#.WJTh4lMrKUk</a></em></div>
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AccelStor, the software-defined all-flash array provider, is proud to announce that its NeoSapphire 3605 and NeoSapphire 3611 have passed DataCore Ready certification. These Fibre Channel all-flash arrays achieved remarkable results under DataCore's software-defined storage software platform SANsymphony. Users now have even better options for storage virtualization under this new partnership.</div>
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AccelStor's NeoSapphire 3605 and NeoSapphire 3611 performed excellently, positioning as tier 1 storage in the DataCore environment. Under DataCore's test with SANsymphony powered by its DataCore<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">TM</span> Parallel-I/O technology, these all-flash arrays performed well even under severe stress testing, achieving an I/O response time of less than 1ms while retaining huge IOPS performance. Moreover, AccelStor's FlexiRemap technology performs optimally in real-world DataCore cases, improving the overall user experience of the system.</div>
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The NeoSapphire series proved to have far superior performance when compared to its competition, especially in the most difficult scenario: 4KB random write testing. The marriage between AccelStor and DataCore can take IT infrastructure performance to the next level. DataCore SANsymphony and DataCore Hyper-converged Virtual SAN software is used by over 10,000 customer sites. The advantage of storage virtualization software is its considerable latitude in supporting various applications and multiple types of storage, easily streamlining systems that use flash storage as well as legacy disks. It works by defining all available storage pools in tiers from 1 to 15. As data is constantly accessed, frequently-handled data will gradually move to the fastest: tier 1, where NeoSapphire arrays can enhance the performance of the whole system.</div>
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The NeoSapphire 3605 and 3611 all-flash arrays use Fibre Channel interfaces to minimize latency for Storage Area Networks (SANs). Compatible with 16G Fibre Channel, they are also conveniently able to integrate with existing SANs via 8G backwards compatibility. Multipathing features provide redundancy for I/O balance, fail-over, and seamless fault recovery. These features not only boost IT staff productivity and make deployment easier, but place AccelStor's all-flash array solutions in a strong position for storage virtualization applications.</div>
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"AccelStor is pleased to be a strategic technology partner with DataCore," said Alan Lin, Senior Manager of AccelStor, "we're thrilled to have our products as the infrastructural backbone for critical systems using DataCore's SANsymphony environment. Both AccelStor and DataCore share the same vision of providing our customers with leading technology and product enhancements to satisfy their every need."</div>
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"Our DataCore Ready Program identifies first-class storage solutions that are verified to enhance DataCore software-defined storage infrastructures. Today, we are delighted to pass the DataCore Ready Certification to a leading all-flash array provider like AccelStor. The intensive testings proofed that the combination of AccelStor's NeoSapphire all-flash arrays and SANsymphony with the unique Parallel-I/O technology play perfectly together, takes software-defined storage to a whole new level and provide extreme performance at ultra-low latency ", said Alexander Best, Director Technical Business Development at DataCore.</div>
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For product details and specifications, visit the NeoSapphire 3605 and NeoSapphire 3611 product page at <a href="https://www.accelstor.com/overview.php?id=16" rel="nofollow" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">https://www.accelstor.com/overview.php?id=16</a> and <a href="https://www.accelstor.com/overview.php?id=17" rel="nofollow" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">https://www.accelstor.com/overview.php?id=17</a>. </div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-54777981724389554122017-01-12T11:57:00.000+11:002017-02-20T11:58:06.490+11:00Channel News: DataCore Software Appoints Carrie Reber Vice President of Worldwide Marketing<div class="contentbox" style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><b>Industry Veteran Joins Executive Team to Expand Core Business and Capitalise on Parallel Processing Potential</b></em></div>
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><span style="color: #0072ce;">http://www.channelemea.com/spip.php?article38912</span></em></div>
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DataCore Software, a leading provider of Hyper-converged Virtual SAN, Software-Defined Storage and Parallel I/O Processing Software, today announced the appointment of Carrie Reber as vice president of worldwide marketing. Reber will drive the company’s sales and channel initiatives to capitalise on the compelling productivity and performance benefits of parallel processing software. She is a well-known technology marketing and communications veteran with extensive experience building and leading marketing teams, developing and managing strategic positioning and communications plans, and raising industry visibility for innovative B-to-B software companies.</div>
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With more than 20 years of experience in the technology industry, Reber most recently served as vice president, international marketing at Datto. Prior to that, she worked in senior positions at Infinio, and built the marketing organisation and go-to-market initiatives that supported Veeam’s rapid growth from startup to $100 million in revenue. Earlier, she served as director of product public relations and analyst relations at Quest Software, and worked in various marketing capacities for companies including Aelita Software, Legent Corp. and CompuServe.</div>
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As DataCore’s revolutionary Parallel I/O technology continues to drive record performance and price-performance for its DataCore™ Hyper-converged Virtual SAN and SANsymphony™ Software-Defined Storage solutions, the company has experienced double-digit growth in key regions in the Americas, EMEA and APAC. A key focus of Reber’s will be to continue to build DataCore’s global brand recognition while spotlighting the advantages and value proposition of Parallel I/O, which unleashes the power and productivity of parallel processing to drive storage performance and record response time for database, analytics, real-time and transactional processing applications.</div>
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“I am delighted that someone of Carrie’s caliber and experience is joining our team,” said George Teixeira, president and CEO of DataCore. “As a company with more than 10,000 successful customer deployments, we need to promote our achievements and reach out to new customers to grow our core business. Strategically, we need to capitalise on our breakthrough parallel processing technology and exploit the new opportunities it will open in 2017. Carrie’s strong execution and management will be instrumental in helping DataCore make these strategic initiatives successful.”</div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-45704775443250396842017-01-09T11:44:00.000+11:002017-02-20T11:45:59.777+11:00Virtualization Review: Virtualizing a Business School – The Reasons why Major University School of Business Chose DataCore<div class="contentbox" style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">By Dan Kusnetzky </em><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datacore.com/Company/datacore-news-blog/datacore-news-blog/2017/01/09/virtualization-review-virtualizing-a-business-school-the-reasons-why-uwm-lubar-school-of-business-chose-datacore" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">https://virtualizationreview.com/articles/2017/01/09/virtualizing-a-business-school.aspx</a></em></div>
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I always enjoy the opportunity to communicate with decision makers to learn what their organization does, problems faced, technology considered to address problems, what was finally selected and why, and advice they'd offer to others.</div>
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Recently, I had the opportunity to exchange messages with Keith Kunkle, Sr. Information Processing Consultant, University of Wisconsin-Milwaukee, Lubar School of Business concerning their choice of a DataCore storage virtualization solution. I wanted to understand a bit more about their choice of DataCore's technology.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Please introduce yourself and your organization</strong> .<br />
My name is Keith Kunkel and I'm a Sr. Information Processing Consultant at the University of Wisconsin-Milwaukee, Lubar School of Business. I manage the Lubar data center which consists of approximately 40 physical and virtual servers. I also manage Lubar's active directory, Oracle and SQL installations. In addition, I provide desktop support on an as needed basis.</div>
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The Lubar School of Business has been in operation for over 50 years and offers bachelor, masters and doctoral degrees. We have over 100 faculty and staff with a student population of approximately 4,200. Lubar also houses an SAP University Competence Center (UCC) which is one of only six UCCs throughout the world. The center provides hosting services and technical support to universities that participate in SAP's University Alliance.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">What problem did you need to solve?</strong><br />
I was looking for a way to reduce our data center CAPEX and OPEX. Many of our physical servers were at the end of life or very close and our technology budget wouldn't handle replacing all of them in the same budget year. The other issue was trying to stay current with the firmware and driver updates for all of these servers.</div>
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We have several servers that are relatively new with significant internal storage capacity that I wanted to take advantage of. I also was looking for a way to maximize the utilization of our existing storage devices. I have 2 NAS devices and 2 SAN devices that were no longer being used for their original purposes but had a couple years before end of life.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Tell me more about the reduction in CAPEX and OPEX.</strong><br />
First, I want to reiterate that this is just for the Lubar School of Business and not the entire university. The CAPEX reduction comes from not having to purchase as many physical servers to support Lubar's mission.</div>
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As an example, our average physical server costs $7,000 - $9,000 whereas the last server that I purchased as a part of this project cost approximately $16,000 - $17,000. That server will handle 3 – 7 virtual servers depending on the resource requirements of each virtual server. If I take an average of 5 virtual servers that would have each required a physical box at an average cost of $8,000, I'm saving $23,000 in hardware costs.</div>
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There also is the cost of the operating systems. I can buy 1 copy of the current Windows Server Data Center version and install as many virtual servers as the host server resources will allow whereas each physical server requires its own license. I haven't mentioned the cost of the SAN and NAS storage because those costs have already been absorbed by their original project.</div>
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The OPEX savings are in the utility costs because I have fewer servers that need cooling and electricity. Also, the fewer physical servers I have to maintain, the less time I have to spend updating the drivers and firmware so I have more time that can be spent on other priorities.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">What products did you consider before making a selection?</strong><br />
I had looked at Atlantis, Maxta, SIOS, and StarWind.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Tell me more about the testing you conducted during your selection process </strong>.<br />
I didn't test any of the products to include DataCore's SANsymphony. The main reason is that most of the products that I evaluated wouldn't support the configuration that I wanted to test. I'm using Microsoft's Hyper-V as the hypervisor and a number of the products didn't support that. One of the products only supported internal storage so there wasn't any point in pursuing that option any further.</div>
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Several pieces of hardware that are being used for this project weren't available at the time that I made the purchase, which is why I didn't test DataCore's product. There were a number of physical servers that needed to be retired due to the age of their operating systems and the hardware was used as an intermediate solution until I could get the virtual servers configured.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Why did you select this product?</strong><br />
DataCore was the only product that had the features I was looking for. I'm using Hyper-V for our hypervisor and several of the products that I reviewed didn't support it at that time. The remainder had other limiting factors such as working with internal storage only.</div>
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Other vendors sold their products as a package so you got hardware with the management software. I have a primary hardware vendor and while some of the vendors would use the same hardware vendor, I didn't need new hardware for this project. In addition, many of the configurations incorporated significantly more storage capacity than I needed. DataCore's licensing process allowed me to tailor the software license to match my storage needs.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">What were the features that DataCore had that the other products didn't? </strong><br />
DataCore allows me to use internal and external storage. This feature was one of the primary selling points. As I mentioned earlier, the servers for this project have significant internal storage (~ 1 TB per server) and I have a pair of SANs and a pair of NASs that have a combined storage capacity of over 12 TB for a total of over 16 TB of storage. This amount is more than adequate for current and future storage requirements based on current growth statistics.</div>
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SANsymphony is hardware agnostic and not bundled into package. I can use my existing servers instead of having to purchase additional hardware in order to take advantage of the hyper convergence software.</div>
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I can fine tune compute and storage resources to meet our data center needs. At the time of my evaluations, many of the vendors had preconfigured solutions in regards to compute and storage resources.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">What tangible benefit have you received through the use of this product? </strong><br />
I am able to maximize the efficiency of my existing storage. DataCore allows me to incorporate my existing servers' internal storage with the external NAS and SAN storage into a combined storage pool. The software manages the pool so I don't have to be concerned with how much storage is available on a specific device.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">What advice would you offer others who are facing similar circumstances? </strong><br />
I would highly recommend DataCore as a solution. The packages offered by other vendors have an advantage of one vendor for hardware and software but based on my research, there's a premium that you will pay. Even if I had to purchase new hardware, I feel that I am further ahead because I'm able to tailor the amount of compute and storage resources I need.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Dan's Take: Flexibility Is the Key </strong><br />
I've had the opportunity to speak with a number of other DataCore customers and have heard very similar stories from all of them.</div>
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They all tell me that they were trying to support complex virtualized computing environments and wanted to deploy a virtualized or software defined storage environment in support of that virtualized computing environment. I'm often told that DataCore's technology simplified the environment and made it far easier to manage, more reliable and even more flexible.</div>
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This story, like the others, underscores my belief that virtual processing solutions should be part of a entire virtualized environment in order to allow the organization the most flexibility. The ideal environment should include access, application, processing, storage and networking virtualization and the management and security tools that support them.</div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-43711081340513722682016-12-28T11:38:00.000+11:002017-02-20T11:39:04.237+11:00The 2016 Virtualization Review Editor's Choice Awards<h1 class="sfpostTitle" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: #333333; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 2.25rem; font-weight: 400; line-height: 2.5rem; margin: 0px 0px 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">By Keith Ward<br /><a href="http://www.datacore.com/Company/datacore-news-blog/datacore-news-blog/2016/12/16/the-2016-virtualization-review-editor's-choice-awards" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">https://virtualizationreview.com/Articles/2016/12/01/Editors-Choice.aspx?Page=1</a></em></div>
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<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Our picks for the best of the best.</em></div>
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As we close the book on 2016 and start writing a new one for 2017, it's a good time to reflect on the products we've liked best over the past year. In these pages, you'll find old friends, stalwart standbys and newcomers you may not have even thought about.</div>
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Our contributors are experts in the fields of virtualization and cloud computing. They work with and study this stuff on a daily basis, so a product has to be top-notch to make their lists. But note that this isn't a "best of" type of list; it's merely an account of the technologies they rely on to get their jobs done, or maybe products they think are especially cool or noteworthy.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Jon Toigo on Adaptive Parallel I/O Technology</strong></div>
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In January, DataCore Software provided proof that the central marketing rationale for transitioning shared storage (SAN, NAS and so on) to direct-attached/software-defined kits was inherently bogus. DataCore Adaptive Parallel I/O technology was put to the test on multiple occasions in 2016 by the Storage Performance Council, always with the same result: parallelization of RAW I/O significantly improved the performance of VMs and databases without changing storage topology or storage interconnects. This flew in the face of much of the woo around converged and hyper-converged storage, whose pitchmen attributed slow VM performance to storage I/O latency -- especially in shared platforms connected to servers via Fibre Channel links.</div>
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While it is true that I like DataCore simply for being an upstart that proved all of the big players in the storage and the virtualization industries to be wrong about slow VM performance being the fault of storage I/O latency, the company has done something even more important. Its work has opened the door to a broader consideration of what functionality should be included in a properly defined SDS stack.</div>
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In DataCore's view, SDS should be more than an instantiation on a server of a stack of software services that used to be hosted on an array controller. The SDS stack should also include the virtualization of all storage infrastructure, so that capacity can be allocated independently of hypervisor silos to any workload in the form of logical volumes. And, of course, any decent stack should include RAW I/O acceleration at the north end of the storage I/O bus to support system-wide performance.</div>
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DataCore hasn't engendered a lot of love, however, from the storage or hypervisor vendor communities with its demonstration of 5 million IOPS from a commodity Intel server using SAS/SATA and non-NVMe FLASH devices, all connected via Fibre Channel link. But it is well ahead of anyone in this space. IBM may have the capabilities in its SPECTRUM portfolio to catch up, but the company would first need to get a number of product managers of different component technologies to work and play well together.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Dan Kusnetzky</strong> <strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">on</strong> <strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">SANsymphony and Hyper-converged Virtual SAN</strong></div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Why I love it:</strong> DataCore is a company I've tracked for a very long time. The company's products include ways to enhance storage optimization, storage efficiency and to make the most flexible use of today's hyper-converged systems.</div>
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The technology supports physical storage, virtual storage or cloud storage in whatever combination fits the customer's business requirements. The technology supports workloads running directly on physical systems, in VMs or in containers.</div>
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The company's Parallel I/O technology, by breaking down OS-based storage silos, makes it possible for customers to get higher levels of performance from a server than many would believe possible (just look at the benchmark data if you don't believe me). This, by the way, also means that smaller, less-costly server configurations can support large workloads.</div>
<div style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">What would make it even better:</strong> I can't think of anything.<br />
<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Next best product in this category:</strong> VMware vSAN</div>
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</h1>
DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-38364788025569062052016-12-12T10:00:00.000+11:002016-12-12T10:00:17.888+11:00DataCore Parallel Processing - Applications & I/O on Steroids<div style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Video 360 Overview by Enterprise Strategy Group and ESG Labs</em></strong></div>
<div style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
Mark Peters, Senior Market Research Analyst and Brian Garrett, VP ESG Labs discuss DataCore’s parallel technologies and market shifts, trends to Software-defined Storage, Hyperconverged and Cloud; describe parallel I/O and impact and value based on the leap in performance that goes beyond technologies like all-flash arrays; the fit for data analytics, databases and more…</div>
<div style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
Must see 6 minute video below:</div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-65111313343537859532016-12-08T15:30:00.000+11:002016-12-08T15:30:07.929+11:00DataCore Software Chairman Wins Innovator of the Year at Best in Biz Awards 2016<div class="contentbox" style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><img alt="ziya-aral2" data-customsizemethodproperties="{'MaxWidth':'125','MaxHeight':'','ScaleUp':false,'Quality':'High'}" data-displaymode="Custom" data-method="ResizeFitToAreaArguments" src="http://www.datacore.com/sf-images/default-source/blog-images/ziya-aral2.jpg?sfvrsn=0&MaxWidth=125&MaxHeight=&ScaleUp=false&Quality=High&Method=ResizeFitToAreaArguments&Signature=385A204C2309D874BAB8B57E3796969C" style="background: transparent; border: 0px; margin: 0px; max-width: 100%; outline: 0px; padding: 0px; vertical-align: middle;" title="ziya-aral2" /> <img alt="BiBA-2016-gold-midres" data-customsizemethodproperties="{'MaxWidth':'170','MaxHeight':'','ScaleUp':false,'Quality':'High'}" data-displaymode="Custom" data-method="ResizeFitToAreaArguments" src="http://www.datacore.com/sf-images/default-source/blog-images/biba-2016-gold-midres.jpg?sfvrsn=0&MaxWidth=170&MaxHeight=&ScaleUp=false&Quality=High&Method=ResizeFitToAreaArguments&Signature=0B4093EBB7D175F18924CD09E50DA9E8" style="background: transparent; border: 0px; height: 205px; margin: 0px; max-width: 100%; outline: 0px; padding: 0px; vertical-align: middle; width: 160px;" title="BiBA-2016-gold-midres" /></strong></div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">DataCore Software has been named a gold winner in the Best in Biz Awards Innovator of the Year category, honoring the achievements of DataCore Chairman and Co-Founder, Ziya Aral.</strong></div>
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The Best in Biz Awards is the only independent business awards program judged by members of the press and industry analysts. The sixth annual program in North America garnered more than 600 entries, from public and private companies of all sizes and from a variety of industries and geographic regions in the U.S. and Canada.</div>
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Much of DataCore’s technological success can be attributed to its Chairman and Co-Founder, Ziya Aral. Responsible for the direction of DataCore’s technologies, advancements and products, Aral is truly a pioneer in the storage industry.</div>
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While Aral has long been considered a “guru” in the space – widely published in the field of computer science – there’s no doubt that this past year was among his most innovative. His fundamental role in creating DataCore’s new Parallel I/O technology, the heart of the company’s software products including SANsymphony and DataCore Hyper-converged Virtual SAN is one of his greatest achievements to date. This says a lot for someone who designed the first high availability UNIX-based intelligent storage controller and whose development team invented disk-based data-sharing technology.</div>
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The problem facing the IT industry today is that in order to keep up with the rate of data acquisition and unpredictable demands of enterprise workloads, business applications, data analytics, Internet of Things and highly virtualized environments, systems require ultra-fast I/O response times. However, the required I/O performance had failed to materialize in large part because software development hadn’t exploited the symmetrical multiprocessing characteristics of today’s cost-effective multicore systems. This is where Ziya Aral comes in…</div>
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In the early days of parallel computing, Aral was vice president of engineering and CTO of Encore Computer Corporation, one of the pioneers of parallel computing development. Then as co-founder of DataCore Software, he helped create the storage virtualization movement and what is now widely known as software-defined storage technology. As Aral and his team of technologists at DataCore Software set out to tackle the I/O bottleneck issue, this unique combination of expertise has enabled DataCore to develop the technology required to leverage the power of multi-cores to power I/O intensive applications like no other company can.</div>
<div style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
Parallel I/O executes independent ‘no stall’ I/O streams simultaneously across multiple CPU cores, dramatically reducing the time it takes to process I/O and enabling a single server to do the work of many.</div>
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The result? Parallel I/O not only completely revolutionizes storage performance but takes parallel processing from the realm of the specialist to making it practical and affordable for the masses. Unleashing multicores from the shackles of being I/O bound opens up endless new possibilities for cognitive computing, AI, machine learning, IoT and data analytics. The technology is proven at customer sites and has <a href="https://www.datacore.com/best-price-performance-fastest-response-time" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">shattered the world-record for I/O performance and response times</a> using industry-audited and peer-reviewed benchmarks.</div>
<div style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; text-align: center; vertical-align: baseline;">
<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">“If companies are going to stand out from the crowd and remain competitive in future years, innovation is key. The market is tough and there is no guarantee that today’s dominant players will remain so — unless time and effort are concentrated on research and development,” said Charlie Osborne, ZDNet, one of Best in Biz Awards’ judges this year. “This year’s entries in Best in Biz Awards highlighted not only innovative business practices but the emergence of next-generation technologies which will keep companies current and relevant.”</em></strong></div>
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For a full list of gold, silver and bronze winners in Best in Biz Awards 2016, visit: <a href="http://www.bestinbizawards.com/2016-winners">http://www.bestinbizawards.com/2016-winners</a>.</div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-22257349278422864402016-12-08T03:55:00.001+11:002016-12-08T03:55:41.694+11:00DataCore’s SANsymphony-V Software Receives Editor’s Choice ‘SVC 2016 Industry Award’ due to its Outstanding Contribution to Technology<div class="MsoNormal">
<a href="http://vmblog.com/archive/2016/12/07/datacore-s-sansymphony-v-software-receives-editor-s-choice-svc-2016-industry-award.aspx?utm_source=dlvr.it&utm_medium=twitter#.WEgzBrIrKpo" style="font-size: 9pt;">http://vmblog.com/archive/2016/12/07/datacore-s-sansymphony-v-software-receives-editor-s-choice-svc-2016-industry-award.aspx?utm_source=dlvr.it&utm_medium=twitter#.WEgzBrIrKpo</a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgI4EEmmEuT0p_Y_OmaRRC7aYN18YqaxWnbkzRrZquxdQ6DpscJPxaG16wvgvceONpBFOKvv7KHuy5WDRKgWoiFhRzTykFqMn9GH35DglTWS9tWmXLL5lp66rBBIER2sc3y77llzmaJaoG/s1600/svc-awards-winner-logo-2016-horiz_1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="105" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgI4EEmmEuT0p_Y_OmaRRC7aYN18YqaxWnbkzRrZquxdQ6DpscJPxaG16wvgvceONpBFOKvv7KHuy5WDRKgWoiFhRzTykFqMn9GH35DglTWS9tWmXLL5lp66rBBIER2sc3y77llzmaJaoG/s400/svc-awards-winner-logo-2016-horiz_1.jpg" width="400" /></a></div>
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<b>READING, UK: </b><a href="http://www.datacore.com/" target="_blank">DataCore</a>
have announced that their tenth generation SANsymphony-V platform has received
the coveted Storage, Virtualisation and Cloud (SVC) 2016 Industry Award from an
editorial judging panel, held at a London-based glittering ceremony, last
Thursday evening.<br />
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<i>“SANsymphony-V firmly deserves this important industry award based on two
counts. Firstly, on the maturity and longevity of the platform – DataCore were
the first to market Software-Defined Storage back in the early 2000’s, bringing
software powered storage to thousands of customers. And secondly, on the
immense impact that Parallel IO processing is having today within data centres,
handling compute with unprecedented ease and on a scale never witnessed
before.”</i> notes Brett Denly, Regional Director, DataCore Software UK.<br />
<br />
Brett collected the Award alongside DataCore’s Neil Crispin and Pierre
Aguerreberry.<br />
<br />
With unparalleled numbers of vendors to select from within the Storage,
Cloud and Virtualisation space, the eminent editorial judging panel of
Digitalisation World stable of titles contemplated long and hard before
bestowing the 2016 SVC Industry Award to DataCore Software, noting:-<br />
<br />
<i>“DataCore Software is a leader in software-defined storage backed by 10,000
customer sites around the world, so they must be doing something right!”</i>
said Jason Holloway, Director of IT Publishing at Angel Business Communications,
Organiser of the SVC Awards<br />
<br />
SVC Industry Awards continue to set a benchmark for outstanding performance on
the contribution of individuals, projects, organisations and technologies that
have excelled in the use, development and deployment of IT.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiTJlJDEDXNvI_IFWevaCHPijt7i3Ga_IFcW5wqXpX_cP8Eqxvx1hjkzR-qxNxN7ev8Mhf3zlP9LToCNrC258WkC5UVQAy5su5rG1jweGb1v_xTlefpnmEUaW8QOc6nSKhCTYLOp5vyf15y/s1600/svcawardwinners0261.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="275" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiTJlJDEDXNvI_IFWevaCHPijt7i3Ga_IFcW5wqXpX_cP8Eqxvx1hjkzR-qxNxN7ev8Mhf3zlP9LToCNrC258WkC5UVQAy5su5rG1jweGb1v_xTlefpnmEUaW8QOc6nSKhCTYLOp5vyf15y/s400/svcawardwinners0261.jpg" width="400" /></a></div>
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Image: DataCore’s Brett Denly (Regional Director), Neil Crispin (Account
Director), Pierre Aguerreberry (Director, Enterprise Sales) collect the Award
from SVC organiser & Director of IT Publishing, Jason Holloway.<o:p></o:p></div>
DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-21373784269174746792016-11-15T11:01:00.002+11:002016-11-15T11:03:51.186+11:00The magic of DataCore Parallel I/O Technology <div class="MsoNormal">
<o:p> </o:p><a href="http://www.juku.it/en/magic-datacore-parallel-io-technology/">http://www.juku.it/en/magic-datacore-parallel-io-technology/</a></div>
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</v:shape><![endif]--><!--[if !vml]--><!--[endif]--></span><span style="color: #444444; font-family: "times new roman" , "serif"; font-size: 10.5pt;"><a href="http://www.juku.it/en/author/esignoretti/" title="View all posts by Enrico Signoretti"><b><span style="border: none 1.0pt; color: #444444; font-size: 10.0pt; padding: 0in; text-decoration: none; text-transform: uppercase;">ENRICO
SIGNORETTI</span></b></a> <o:p></o:p></span></div>
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<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">DataCore
Parallel I/O technology seems like a kind of magic, and too good to be true…
but you only need to try it once to understand that it is real and has the
potential to save you loads of money!<o:p></o:p></span></div>
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<span style="color: #2b2b2b; font-family: "arial" , "sans-serif"; font-size: 18.0pt;">Benchmarks
Vs Real world<o:p></o:p></span></div>
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<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">Frankly, I was skeptical at
first and I totally underestimated <a href="https://www.datacore.com/products/parallel-io" target="_blank"><span style="color: #4a937e;">this technology</span></a>. The benchmark <a href="https://www.datacore.com/best-price-performance-fastest-response-time" target="_blank"><span style="color: #4a937e;">posted a while ago</span></a> was
incredibly good (too good to be true?!). And even though this one wasn’t false,
sometimes you can just work around some limits of the benchmarking suite and
build specific and unrealistic configurations to get numbers that look very
good, but that are hard to reproduce in real world scenarios.<o:p></o:p></span></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLiCLUSqnfWRRo_cXSOV3Hc5vfL1kuh0iFST8a3LZF9at1qmym6a3kfVs-o-RPGVLv-NaZdQ4H5nCIxX3HYJ1Gb8qx4JeqN8Avh9u9QrXxqIiRlAogDD_Cf16Zj71vozBrMZbXXdoZwHQ/s1600/Measure.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLiCLUSqnfWRRo_cXSOV3Hc5vfL1kuh0iFST8a3LZF9at1qmym6a3kfVs-o-RPGVLv-NaZdQ4H5nCIxX3HYJ1Gb8qx4JeqN8Avh9u9QrXxqIiRlAogDD_Cf16Zj71vozBrMZbXXdoZwHQ/s1600/Measure.jpg" /></a></div>
<div class="MsoNormal" style="margin-bottom: 21.0pt; vertical-align: baseline;">
<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">When I
was briefed by DataCore they convinced me not with sterile benchmarks, but with
real workload testing! In fact, I was particularly impressed by a set of
amazing demos I had the chance to watch where a Windows database server,
equipped with Parallel I/O Technology, was able to process data dozens of times
faster than the same server without DataCore’s software… and the same happened
with a cloud VM instance (which is theoretically the same, since this is a
software technology, but is much more important than you think… especially if
you look at how much money you could save by adopting it).<o:p></o:p></span></div>
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<span style="color: #2b2b2b; font-family: "arial" , "sans-serif"; font-size: 18.0pt;">Yes,
dozens of times faster!<o:p></o:p></span></div>
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<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;"><!--[if gte vml 1]><v:shape
id="Picture_x0020_8" o:spid="_x0000_i1028" type="#_x0000_t75" alt="Big Data on Pocket Watch Face."
style='width:225pt;height:126.6pt'>
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o:href="cid:image008.jpg@01D235B4.F74056E0"/>
</v:shape><![endif]--><!--[if !vml]--><!--[endif]--><o:p></o:p></span></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhISQXfcz5EzjL86KouIzOv1a6NLTaXrpoGC8dFEHUTb8f9G1h6EJvZcFvx57qKIxtGrmXRFkEX0DkRnSSS0-wBGqY2trTleS1YmUQISBtpV_HcjU6pUvlT4WZSwhZPqmM6TVD4WWSjSSE/s1600/big+Data.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhISQXfcz5EzjL86KouIzOv1a6NLTaXrpoGC8dFEHUTb8f9G1h6EJvZcFvx57qKIxtGrmXRFkEX0DkRnSSS0-wBGqY2trTleS1YmUQISBtpV_HcjU6pUvlT4WZSwhZPqmM6TVD4WWSjSSE/s320/big+Data.jpg" width="320" /></a></div>
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<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">I know it seems ridiculous, but
it isn’t. DataCore Parallel Server is a very simple piece of software that
changes the way IO operations are performed. It takes advantage of the large
number of CPU cores and RAM available on a server and allows to organize all
the IOs in a parallel fashion, instead of serial, allowing to achieve
microsecond level latency and, consequently, a very large number of IOPs. </span></div>
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<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;"><br /></span></div>
<div class="MsoNormal" style="vertical-align: baseline;">
<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;"><span style="color: #4a937e;"><a href="http://www.juku.it/wp-content/uploads/2014/01/Democratizing-Big-Data-Analytics.pdf" target="_blank">Want to know more? You’ll have to
read my paper then</a></span>.<o:p></o:p></span></div>
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<br /></div>
<div class="MsoNormal" style="margin-bottom: 21.0pt; vertical-align: baseline;">
<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">This
kind of performance allows to build smaller clusters or get results much faster
with the same amount of nodes… and without changing the software stack or
adding expensive in-memory options to your DB. It is ideal for Big Data
Analytics use cases, but there are also other scenarios where this technology can
be of great benefit!<o:p></o:p></span></div>
<div class="MsoNormal" style="margin-bottom: 21.0pt; vertical-align: baseline;">
<span style="color: #2b2b2b; font-family: "arial" , "sans-serif"; font-size: 18.0pt;">Just
software<o:p></o:p></span></div>
<div class="MsoNormal" style="margin-bottom: 21.0pt; vertical-align: baseline;">
<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">I don’t
want to downplay DataCore’s work by saying “just software”, quite the contrary
indeed! The fact that we are talking about a relatively simple piece of
software makes it applicable not only to your physical server but also to a VM
or, better, a cloud VM.<o:p></o:p></span></div>
<div class="MsoNormal" style="margin-bottom: 21.0pt; vertical-align: baseline;">
<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">If you
look at cloud VM prices, you’ll realise that it is much better to run a job in
a small set of large-CPU large-memory VMs than in a large amount of SSD-based
VMs for example… and this simply means that you can spend less to do more,
faster. And, again, when it comes to Big Data Analytics this is a great result,
isn’t it?<o:p></o:p></span></div>
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<span style="color: #2b2b2b; font-family: "arial" , "sans-serif"; font-size: 18.0pt;">Closing
the circle<o:p></o:p></span></div>
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<a href="http://datacore.com/"><span style="color: #4a937e; font-family: "arial" , "sans-serif"; font-size: 12.0pt; text-decoration: none;"><!--[if gte vml 1]><v:shape
id="Picture_x0020_9" o:spid="_x0000_i1029" type="#_x0000_t75" alt="datacore_logo"
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o:href="cid:image015.jpg@01D235B4.F74056E0"/>
</v:shape><![endif]--><!--[if !vml]--><!--[endif]--></span></a><span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;"><o:p></o:p></span></div>
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<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">DataCore is one of those
companies that has been successful and profitable for years. Last year, with
the introduction of Parallel I/O they demonstrated their capability of still
being able to innovate and bring value to their customers. Now, thanks to an
evolution of Parallel I/O, they are entering in a totally new market, with a
solution that can easily enable end users to save loads of money and get faster
results. It’s not magic of course, just a much better way to use the resources
available in modern servers.<o:p></o:p></span></div>
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<br /></div>
<div class="MsoNormal" style="margin-bottom: 21.0pt; vertical-align: baseline;">
<span style="color: #333333; font-family: "arial" , "sans-serif"; font-size: 12.0pt;">Parallel
Server is perfect for Big Data Analytics, makes it available to a larger
audience, and I’m sure we will see other interesting use cases for this
solution over time…<o:p></o:p></span></div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-36644878412116231422016-11-15T10:53:00.000+11:002016-11-15T10:53:40.525+11:00DataCore Hyperconverged Virtual SAN Speeds Up 9-1-1 Dispatch Response<div class="MsoNormal">
<i style="font-size: 16pt;">Critical Microsoft
SQL Server-based Application Runs 20X Faster</i></div>
<div class="MsoNormal">
<i><span style="font-size: 9.0pt;"><a href="http://vmblog.com/archive/2016/11/01/datacore-hyperconverged-virtual-san-speeds-up-9-1-1-dispatch-response.aspx#.WBoNDi0rKpp">http://vmblog.com/archive/2016/11/01/datacore-hyperconverged-virtual-san-speeds-up-9-1-1-dispatch-response.aspx#.WBoNDi0rKpp</a><o:p></o:p></span></i></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b><span style="font-size: 12.0pt;">"Response times are
faster. The 200 millisecond latency has gone away now with DataCore
running," stated ESCO IT Manager Corey Nelson. "In fact, we are down
to under five milliseconds as far as application response times at peak load.
Under normal load, the response times are currently under one
millisecond."<o:p></o:p></span></b></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;"><a href="http://www.datacore.com/" target="_blank">DataCore</a> Software
announced that Emergency Communications of Southern Oregon (ECSO) has significantly
increased performance and reduced storage-related downtime with the DataCore
Hyper-converged Virtual SAN.<o:p></o:p></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">Located in Medford Oregon,
ECSO is a combined emergency dispatch facility and Public Safety Answering
Point (PSAP) for the 9-1-1 lines in Jackson County, Oregon. ECSO wanted to
replace its existing storage solution because its dispatch application, based
on Microsoft SQL Server, was experiencing latencies of 200 milliseconds at
multiple times throughout the day - impacting how fast fire and police could
respond to an emergency. In addition to improving response time, ECSO wanted a
new solution that could meet other key requirements, including higher
availability, remote replication, and an overall more robust storage
infrastructure. <o:p></o:p></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">After considering various
hyper-converged solutions, ECSO IT Manager Corey Nelson decided that the
DataCore Hyper-converged Virtual SAN was the only one that could meet all of
his technology and business objectives. DataCore Hyper-converged Virtual SAN
enables users to put the internal storage capacity of their servers to work as
a shared resource while also serving as integrated storage architecture. Now
ECSO runs DataCore Hyper-converged Virtual SAN on a single tier of
infrastructure, combining storage and compute on the same clustered servers.<o:p></o:p></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b><i><span style="font-size: 12.0pt;">Performance Surges with
DataCore</span></i></b><span style="font-size: 12.0pt;"><o:p></o:p></span></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">Prior to DataCore,
performance -- specifically, latency -- was a problem at ECSO, due to the
organization's prior disk array that took 200 milliseconds on average to
respond. DataCore has solved the performance issues and fixed the real-time
replication issues that ECSO was previously encountering because its
Hyper-converged Virtual SAN speeds up response and throughput with its
innovative Parallel I/O technology in combination with high-speed caching to
keep the data close to the applications.<o:p></o:p></span></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">ECSO's critical 9-1-1
dispatch application must interact nearly instantly with the SQL Server-based
database. Therefore, during the evaluation and testing period, understanding
response times were vital criteria. To test this, Nelson ran a SQL Server
benchmark against his current environment as well as the DataCore solution. The
benchmark used a variety of block sizes as well as a mix of random/sequential
and read/write to measure the performance. The results were definitive -- the
DataCore Hyper-converged Virtual SAN solution was 20X faster than the current
environment.<o:p></o:p></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">"Response times are
faster. The 200 millisecond latency has gone away now with DataCore
running," stated Nelson. "In fact, we are down to under five
milliseconds as far as application response times at peak load. Under normal
load, the response times are currently under one millisecond."<o:p></o:p></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b><i><span style="font-size: 12.0pt;">Unsurpassed Management,
Performance and Efficiency</span></i></b><span style="font-size: 12.0pt;"><o:p></o:p></span></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">Before DataCore,
storage-related tasks were labor intensive at ECSO. Nelson was accessing and
reviewing documentation continuously to ensure that any essential step
concerning storage administration was not overlooked. He knew that if he
purchased a traditional storage SAN, it would be yet another point to manage.<o:p></o:p></span></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">"I wanted as few ‘panes
of glass' to manage as possible," noted Nelson. "Adding yet another
storage management solution to manage would just add unnecessary
complexity."<o:p></o:p></span></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">The DataCore hyper-converged
solution was exactly what Nelson was looking for. DataCore has streamlined the
storage management process by automating it and enabling IT to gain visibility
to overall health and behavior of the storage infrastructure from a central
console.<o:p></o:p></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">"DataCore has radically
improved the efficiency, performance and availability of our storage
infrastructure," he said. "I was in the process of purchasing new
hosts, and DataCore Hyper-converged Virtual SAN fit perfectly into the budget
and plan. This is a very unique product that can be tested in anyone's
environment without purchasing additional hardware." <o:p></o:p></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: 12.0pt;">To see the full case study on
Emergency Communications of Southern Oregon, click <a href="https://www.datacore.com/testimonials/emergency-communications-of-southern-oregon-%28ecso%29" target="_blank">here</a>.<o:p></o:p></span></div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-65020796421732906072016-11-03T02:47:00.000+11:002016-11-03T02:49:55.355+11:00Performance, Availability and Agility for SQL Server <h1 class="sfpostTitle" style="background: transparent; border: 0px; color: #333333; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 2.25rem; font-weight: 400; line-height: 2.5rem; margin: 2.5rem 0px 1rem; outline: 0px; padding: 0px; text-transform: none; vertical-align: baseline;">
<strong style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; color: black; font-size: 1.25rem; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Introduction - Part 1</strong></h1>
<h1 class="sfpostTitle" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 2.25rem; font-weight: 400; line-height: 2.5rem; margin: 2.5rem 0px 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<div class="contentbox" style="background: rgb(255, 255, 255); border: 0px; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
<div class="sfpostContent" style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
<div style="background: transparent; border: 0px; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
IT organizations must maintain <a href="https://en.wikipedia.org/wiki/Service-level_agreement" style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank"><span style="color: black;">service level agreements</span></a> (SLAs) by meeting the demands of applications that work on a SQL Server. To meet these requirements they must deliver superior performance and continuous uptime of each SQL Server instance. Furthermore, application dependent on SQL Server, such as agile development, CRM, BI, or IOT, are increasingly dynamic and require faster adaptability to performance and high availability challenges than device level provisioning, analytics and management can provide. </div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
In this blog, which is the first of a 3 part series, we will discuss the challenges IT organizations face with SQL server and solution that helps them overcome these challenges.</div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Challenges</strong></div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
All these concerns can be associated to a common root cause, which is the storage infrastructure. Did you know that 62% of DBAs experience latency of more than 10 milliseconds when writing to disks<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">1</span>? Not only does this slowdown impact the user experience, but also has DBAs spending hours tuning the database. Now that is the impact of storage on SQL Server performance; so what about its impact on availability? Well, according to surveys, 50% of organizations don’t have an adequate business continuity plan because of expensive storage solution<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">2</span>. When it comes to agility, DBAs have agility on at the SQL Server level, but IT administrators don’t have the same agility on the storage side – especially when they have to depend on heterogeneous disk arrays. Surveys shows that a majority of enterprises have 2 or more types of storage and 73% have more than 4 types<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">3</span>. </div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
A common IT trend to solve the performance issue is it to adopt flash storage<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">4</span>. However, moving the entire database to flash storage significantly increases cost. To save on cost, the DBAs end up with the burden of having to pick and choose the instances that require high-performance. The other option to overcome the performance issue is to tune the database and change the query. This requires significant database expertise, demands time, and changes to the production database. Most organizations either don’t have dedicated database performance tuning experts or the luxury of time or are sensitive to making changes to the production database. This common dilemma makes the option of tuning the database a very farfetched approach.<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"></em></div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
For higher uptime, DBAs utilize Cluster Failover Instance (formerly Microsoft Cluster Service) for server availability, but clustering alone cannot overcome storage-related downtime. One option is to upgrade to SQL Server Enterprise, but it puts a heavy cost burden on the organization (Figure 1.) This leaves them with the option to either not upgrading to SQL Server Enterprise or choosing only few SQL Server instances to be upgraded to the SQL Server Enterprise. The other option is to use storage or 3<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">rd</span>-party mirroring, but neither solution guarantee a Recovery Point Objective (RPO) & Recovery Time Objective (RTO) of zero.</div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<img alt="SQL-server-challenges-part1" data-displaymode="Original" src="http://www.datacore.com/sf-images/default-source/feature-diagrams/sql-server-challenges-part1.png?sfvrsn=0" style="background: transparent; border: 0px; height: 237px; left: 400px; margin: 0px; max-width: 100%; outline: 0px; padding: 0px; top: 927px; vertical-align: middle; width: 442px;" title="SQL-server-challenges-part1" /></div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<em style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Figure 1</em></div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"></strong></div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"></strong></div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Solution</strong></div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
DataCore’s advanced software-defined storage solution addresses both the latency and uptime challenges of SQL Server environments. It is easy to use, delivers high-performance and offers continuous storage availability. DataCore™ Parallel I/O and high-speed ‘in-memory’ caching technologies increases productivity by dramatically reducing the SQL Server query times.</div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
<br /></div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Next blog</strong></div>
<div style="background: transparent; border: 0px; color: black; font-size: 1.25rem; line-height: 1.3; margin-bottom: 1rem; outline: 0px; padding: 0px; vertical-align: baseline;">
In the next blog, we will touch more on the performance aspect of DataCore.</div>
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<br /></div>
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<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">1 </span><a href="http://www.sqlskills.com/blogs/paul/are-io-latencies-killing-your-performance/" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">http://www.sqlskills.com/blogs/paul/are-io-latencies-killing-your-performance/</a></div>
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<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">2 </span><a href="http://www.symantec.com/content/en/us/about/media/pdfs/symc_2011_SMB_DP_Survey_Report_Global.pdf?om_ext_cid=biz_socmed_twitter_facebook_marketwire_linkedin_2011Jan_worldwide_dpsurvey" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;" target="_blank">http://www.symantec.com/content/en/us/about/media/pdfs/symc_2011_SMB_DP_Survey_Report_Global.pdf?om_ext_cid=biz_socmed_twitter_facebook_marketwire_linkedin_2011Jan_worldwide_dpsurvey</a></div>
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<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">3 </span><a href="http://www.storageperformance.org/results/benchmark_results_spc1_top-ten" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">http://www.storageperformance.org/results/benchmark_results_spc1_top-ten</a><span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"></span></div>
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<span style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">4 </span><a href="http://www.sqlskills.com/blogs/paul/are-io-latencies-killing-your-performance/" style="background: transparent; border: 0px; color: #0072ce; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">http://www.sqlskills.com/blogs/paul/are-io-latencies-killing-your-performance/</a></div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-88631912580418189512016-09-29T14:57:00.001+10:002016-09-29T14:57:40.492+10:00Parallel Application Meets Parallel Storage<div class="contentbox" style="background: rgb(255, 255, 255); border: 0px; font-family: "Open Sans", "Arial Rounded MT Bold", "Helvetica Rounded", Arial, sans-serif; font-size: 16px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
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A shift in the computer industry has occurred. It wasn't a shift that happened yesterday -- the year was 2005 and Moore's Law took a deviation from the path that it had been traveling on for over 35 years. Up until this point, improved processor performance was mainly due to frequency scaling, but when the core speed reached ~3.8GHz, the situation quickly became cost prohibitive due to the physics involved with pushing beyond this barrier (factors such as core current, voltage, heat dissipation, structural integrity of the transistors, etc.). Thus, processor manufacturers (and Moore's Law) were forced to take a different path. This was the dawning of the massive symmetrical multiprocessing era (or what we refer to today as 'multicore').</div>
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The shift to superscalar symmetrical multiprocessing (SMP) architectures required a specialized skill set in parallel programming to fully realize the performance increase across the numerous processor resources. It was no longer enough to rely on frequency scaling for better application response times and throughput. More than a decade later, a severe gap persists in our ability to harness the power of multicore, mainly due to either a lack of understanding of parallel programming or the inherent difficulty in porting a well-established application framework to a parallel programming construct.</div>
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Perhaps virtualization is also responsible for some of the gap since the entire concept of virtualization (specifically compute virtualization) is to create many independent virtual machines whereby each one can run the same application simultaneously and independently. Within this framework, the demand for parallelism at the application level may have diminished since the parallelism is handled by the abstraction layer and scheduler within the compute hypervisor (and no longer as necessary for the application developer -- I'm just speculating here). So, while databases and hypervisors are largely rooted in parallelism, there is one massive area that still suffers from a lack of parallelism - storage.</div>
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<strong style="background: transparent; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">THE PARALLEL STORAGE REVOLUTION BEGINS</strong></h2>
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In 1998, DataCore Software began work on a framework specifically intended for driving storage I/O. This framework would become known as a storage hypervisor. At the time, the best multiprocessor systems that were commercially available were multi-socket single-core systems (2 or 4 sockets per server). From 1998 to 2005, DataCore perfected the method of harnessing the full potential of common x86 SMP architectures with the sole purpose of driving high-performance storage I/O. For the first time, the storage industry had a portable software-based storage controller technology that was not coupled to a proprietary hardware frame.</div>
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In 2005, when multicore processors arrived in the x86 market, an intersection formed between multicore processing and increasingly parallel applications such as VMware's hypervisor and parallel database engines such as Microsoft SQL and Oracle. Enterprise applications started to slowly become more and more parallel, while surprisingly, the storage subsystems that supported these applications remained serial.</div>
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The serial nature of storage subsystems did not go unnoticed, at least by storage manufacturers. It was well understood that at the current rate of increase in processor density coupled with wider adoption of virtualization technologies (which drove much higher I/O demand density per system), a change was needed at the storage layer to keep up with increased workloads.</div>
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In order to overcome the serial limitation in storage I/O processing, the industry had to make a decision to go parallel. At the time, the path of least resistance was to simply make disks faster, or taken from another perspective, make solid state disks, which by 2005 had been around in some form for over 30 years, more affordable and with higher densities.</div>
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As it turns out, the path of least resistance was chosen, either because alternative methods of storage I/O parallelization were unrealized or perhaps there was an unwillingness by the storage industry to completely recode their already highly complex storage subsystem programming. The chosen technique, referred to as [Hardware] Device Parallelization, is now used by every major storage vendor in the industry. The only problem is that it doesn't drastically address the fundamental problem of storage performance which is latency.</div>
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Chris Mellor from The Register wrote recently in an article, "The entire recent investment in developing all-flash arrays could have been avoided simply by parallelizing server IO and populating the servers with SSDs."</div>
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<strong style="background: transparent; border: 0px; font-size: 22.4px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">For the full story, read the complete <a href="https://www.linkedin.com/pulse/parallel-application-meets-storage-jeffrey-slapp" style="background: transparent; border: 0px; color: #0072ce; font-size: 22.4px; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">blog post</a> by our Director, Systems Engineering and Solution Architecture, Jeff Slapp.</strong></h3>
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<strong style="background: transparent; border: 0px; font-size: 22.4px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Read More at: <a href="https://www.linkedin.com/pulse/parallel-application-meets-storage-jeffrey-slapp">https://www.linkedin.com/pulse/parallel-application-meets-storage-jeffrey-slapp</a></strong></div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-816801489483609302016-07-15T09:00:00.000+10:002016-07-15T09:00:31.711+10:00Gartner Research Report on Software-defined Storage: The CxO View<div class="MsoNormal" style="line-height: 15.75pt; margin-bottom: 12.0pt;">
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<a href="http://info.datacore.com/gartnerresearch"><img border="0" height="160" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgS3pBhexM3YeXPomdnrl02NKKL0rtOKCbd92XfK8Pb_psSJPM_yNZGNJF3ziV6hwO7cYEYaBEJdLaHQPO70Al5apLj1l-xYK3n5_yMeP8sGfAgmlfowZRTtd2krk-7-8DfJgmKcJixX9vx/s400/Gartner-newsletter-preview-twitter%255B1%255D.jpg" width="400" /></a></div>
<span style="font-family: "verdana" , sans-serif;"><span style="color: #505050; font-size: 10.5pt;"><br /></span></span>
<span style="font-family: "verdana" , sans-serif;"><span style="color: #505050; font-size: 10.5pt;">Download this
complimentary </span><a href="http://info.datacore.com/gartnerresearch"><b><span style="font-size: 12.0pt; mso-bidi-font-family: Arial;">Gartner report <i>Software-defined Storage: The CxO View </i>– featuring
the <i>Top Five Use Cases and
Benefits of Software-defined Storage</i></span></b></a><span style="color: #505050; font-size: 10.5pt;"> – and learn how it can help
grow your business while reducing TCO. </span><b><span style="font-size: 1.0pt; mso-bidi-font-style: italic;"><o:p></o:p></span></b></span></div>
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<b><span style="font-size: 14.0pt; mso-bidi-font-style: italic;"><span style="font-family: "verdana" , sans-serif;">Agile, cost-effective data infrastructure for today’s business climate<o:p></o:p></span></span></b></div>
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<span style="font-family: "verdana" , sans-serif;">Welcome Fellow CxO,
<o:p></o:p></span></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh6HM4YAOU6KD_c-LMBYgBAuEjL6wLxMpD9HQG6stwxCqfTvpzTHRyo0MThf37jV-0j0HPEov9pD5sW57Cr_OKBAZxr57MtnMA5jZL2Ns2Mmf87_X1kYDwW2zY0d8Ob8OI0NonCVBuTXpb4/s1600/george-teixeira-web.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh6HM4YAOU6KD_c-LMBYgBAuEjL6wLxMpD9HQG6stwxCqfTvpzTHRyo0MThf37jV-0j0HPEov9pD5sW57Cr_OKBAZxr57MtnMA5jZL2Ns2Mmf87_X1kYDwW2zY0d8Ob8OI0NonCVBuTXpb4/s200/george-teixeira-web.jpg" width="133" /></a><span style="font-family: "verdana" , sans-serif;">Today’s business climate carries a great deal of uncertainty
for companies of all sizes and industries.
To seize new business models and opportunities, systems must be flexible
and easily adjusted in order to respond to growth spurts, seasonality and peak periods.
Likewise agility helps us mitigate risk .With the sluggish economies across the
world, there is a need to be prepared to react quickly to changing
fortunes. From cutting back when needed
to rapidly growing when opportunities present themselves, companies are less
focused on long-term planning in favor of quick decisions and meeting quarterly
expectations.<o:p></o:p></span></div>
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<span style="font-family: "verdana" , sans-serif;">Technology is changing business dynamics as well. Social, mobile and cloud are impacting
companies’ operations, meaning they need to be able to meet changing demand
24x7. This has put a premium on
companies’ ability to react quickly while being able to absorb and analyze all
the data they are gathering.<o:p></o:p></span></div>
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<span style="font-family: "verdana" , sans-serif;">In survey after survey, CxOs highlight the following
challenges when it comes to IT:<o:p></o:p></span></div>
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<span style="font-family: "verdana" , sans-serif;">+ Dealing with the rapid growth of data<o:p></o:p></span></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: .75in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -.5in;">
<span style="font-family: "verdana" , sans-serif;">+ High cost of storing this data<o:p></o:p></span></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: .75in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -.5in;">
<span style="font-family: "verdana" , sans-serif;">+ Delivering high-performance applications <o:p></o:p></span></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: .75in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -.5in;">
<span style="font-family: "verdana" , sans-serif;">+ Meeting Business Continuity / Disaster Recovery
requirements<o:p></o:p></span></div>
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<span style="font-family: "verdana" , sans-serif;">When looking at IT infrastructure, it’s pretty clear that
compute and networking have taken the lead in meeting these demanding
requirements. But, storage is a laggard.<o:p></o:p></span></div>
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<span style="font-family: "verdana" , sans-serif;">Enter Software-defined Storage (SDS). Aside from being the latest buzzword, what is
SDS and will it help companies like yours succeed?<o:p></o:p></span></div>
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<span style="font-family: "verdana" , sans-serif;">Put simply, SDS delivers agility, faster time to respond to
change and more purchasing power control in terms of cost decisions. Gartner defines SDS as “storage software on
industry-standard server hardware [to] significantly lower opex of storage
upgrades and maintenance costs… Eliminates need for high-priced proprietary
storage hardware”. <o:p></o:p></span></div>
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<span style="font-family: "verdana" , sans-serif;">Our own research based on thousands of customers real-world
feedback shows a growing interest in SDS.
By separating the storage software from storage hardware, SDS is able
to:</span></div>
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<span style="font-family: "verdana" , sans-serif; text-indent: -0.25in;">+ Pool data stores allowing all storage assets and
their existing and new capacity investments to work together ;enabling
different storage devices from different vendors to be managed in common</span></div>
<div class="MsoNormal" style="text-indent: 0px;">
<span style="font-family: "verdana" , sans-serif; text-indent: -0.25in;">+ Provide a comprehensive set of data services
across different platforms and hardware</span></div>
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<span style="font-family: "verdana" , sans-serif; text-indent: -0.25in;">+ Separate advances in software from advances in
hardware</span></div>
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<span style="font-family: "verdana" , sans-serif; text-indent: -0.25in;">+ Automate and simplify management of all storage</span><br />
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<br /></div>
</div>
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<span style="font-family: "verdana" , sans-serif; text-indent: -0.25in;"><br /></span></div>
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<span style="font-family: "verdana" , sans-serif;">The benefits to your company are potentially enormous. In a recent survey of over 2000 DataCore customers that have deployed SDS, key findings include:</span></div>
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<span style="font-family: "verdana" , sans-serif;"><span class="Apple-tab-span" style="white-space: pre;"> </span>79% improved performance by 3X or more </span><br />
<span style="font-family: "verdana" , sans-serif;"><span class="Apple-tab-span" style="white-space: pre;"> </span>83% reduced storage-related downtime by 50% or more </span><br />
<span style="font-family: "verdana" , sans-serif;"><span class="Apple-tab-span" style="white-space: pre;"> </span>81% reduced storage-related spending by 25% or more </span><br />
<span style="font-family: "verdana" , sans-serif;"><span class="Apple-tab-span" style="white-space: pre;"> </span>100% saw a positive ROI in the first year</span><br />
<span style="font-family: "verdana" , sans-serif;"><br /></span>
<span style="font-family: "verdana" , sans-serif;">It’s these kind of results and the advances in performance
and efficiency due to DataCore’s revolutionary Parallel I/O technology within
our SDS solution that have led to over 30k customer deployments globally and
96% of CxOs surveyed stating they recommend DataCore SDS.<o:p></o:p></span></div>
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<br /></div>
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<span style="font-family: "verdana" , sans-serif;">Sincerely,<o:p></o:p></span></div>
<div class="MsoNormal">
<span style="font-family: "verdana" , sans-serif;">George Teixeira,<o:p></o:p></span></div>
<br />
<div class="MsoNormal">
<span style="font-family: "verdana" , sans-serif;">President and CEO, Co-founder</span><o:p></o:p></div>
DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-79606295327050076872016-07-05T09:30:00.000+10:002016-07-05T09:30:20.571+10:00DataCore takes storage performance crown<ul style="border: 0px; color: #666666; font-family: Helvetica, Arial, sans-serif; font-size: 11.04px; line-height: 17.664px; list-style: none; margin: 0px; padding: 0px; text-align: right;">
<li class="itemAuthor" style="background-attachment: initial; background-clip: initial; background-image: none; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-left-color: rgb(204, 204, 204); border-left-style: solid; border-width: 0px 0px 0px 1px; display: inline; float: left; line-height: 17.664px; list-style: none; margin: 0px; overflow: hidden; padding: 0px 4px 0px 8px; text-align: center;">By <a href="http://www.itwire.com/author/itemlist/user/1501-stephen-withers.html" rel="author" style="border: 0px; color: #252525; font-weight: bold; margin: 0px; outline: 0px; padding: 0px; text-decoration: none;">Stephen Withers</a>; published in Storage & Cloud Storage</li>
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<a href="http://www.itwire.com/business-it-news/storage/73497-datacore-takes-spc-1-crown.html">http://www.itwire.com/business-it-news/storage/73497-datacore-takes-spc-1-crown.html</a><br />
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Storage vendor DataCore has established a record for the SPC-1 benchmark, blowing the doors off the previous top performers despite its use of commodity hardware.<br />
The Top 5 Best Results ever reported:</div>
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A pair of Lenovo X3650 M5 servers running the <a href="https://www.datacore.com/" rel="nofollow" style="border: 0px; color: #cc3333; margin: 0px; padding: 0px; text-decoration: none;" target="_blank">DataCore</a> Parallel Server software has achieved 5,120,098.98 SPC-1 IOPS.</div>
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The previous top performers on this benchmark were the Huawei OceanStor 18800 V3 (3,010,007.37 SPC-1 IOPS) and the Hitachi VSP G1000 (2,004,941.89 SPC-1 IOPS).</div>
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While those two systems cost in excess of US$2 million, the DataCore-based system cost just over US$506,000.</div>
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...No other vendor in the top 10 comes close to matching DataStore's average response time under full load. The three systems managed 0.28, 0.10 and 0.22ms respectively. The only others with sub-millisecond response were the Huawei (0.92ms) and Hitachi (0.96ms) systems mentioned above</div>
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DataCore's high performance comes from taking full advantage of the parallelism available in modern multi-core CPUs, explained vice president of APAC sales Jamie Humphrey.</div>
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"We're redefining not only how storage works, but the economies inside the data centre," he told<em style="border: 0px; margin: 0px; padding: 0px;">iTWire</em>.</div>
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What other vendors deliver in 48 or 72U of rack space, a DataCore-based system can provide in 14U, he said.</div>
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DataCore's approach makes high performance storage available to midmarket organisations as well as large enterprises, ANZ regional sales director Marco Marinelli told <em style="border: 0px; margin: 0px; padding: 0px;">iTWire</em>. Furthermore, the company offers a "highly mature product" currently on version 10.</div>
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Not every customer needs 5.1 million IOPS, but most would like the reduced latency that comes from being able to being able to fully utilise Fibre Channel's performance. Humphrey gave the example of a mid-sised organisation that just wants faster database access. With conventional systems it would need to over-engineer the storage to get the required response time, but DataCore provides "a very adaptive architecture" that can accommodate various workloads.</div>
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Customers need the flexibility to buy what they need, not what they're told they can buy, he said.</div>
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And where implementing software-defined storage is usually seen as a "rip and replace" project, that's not the case with DataCore, which can be used to augment an existing environment, bringing together various point solutions in a way their vendors cannot manage.</div>
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DataCore has hardware alliances with server, networking and storage vendors, said Humphrey, and publishes reference architectures for assembling the various products.</div>
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<br />DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0tag:blogger.com,1999:blog-2754237354537524443.post-60546117732569522422016-06-30T07:52:00.000+10:002016-06-30T07:52:11.966+10:00Performance debate - 'Sour grapes' DataCore chairman fires back <div class="contentbox">
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<strong>Fresh from the <a href="https://www.datacore.com/labs/labs-blog/labs/2016/06/27/performance-debate---'sour-grapes'-datacore-chairman-fires-back">DataCoreLabs</a> blog:</strong></div>
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<strong>Based on the questions raised in recent press articles, it seems some have missed a major aspect that contributed to DataCore's world record storage performance. As some may think, it wasn’t just the cache in memory that made the biggest difference in the result. The principal innovation that provided the differentiation is DataCore’s new parallel I/O architecture. I think our Chairman and Technologist; Ziya Aral says it well in this excerpt from the recent article from The Register, written by Chris Mellor:</strong> <a href="http://www.theregister.co.uk/2016/06/21/datacore_spc1_record_unrealistic_spc1_out_of_date/">The SPC-1 benchmark is cobblers, thunders Oracle veep</a><br />
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<strong>The press release that sparked the debate is located here: </strong><br />
<a href="https://www.datacore.com/Company/news-press-center/Press-Releases/2016/06/15/datacore-parallel-server-rockets-past-all-competitors-setting-the-new-world-record-for-storage-performance">DataCore Parallel Server Rockets Past All Competitors, Setting the New World Record for Storage Performance</a><br />
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Measured Results are Faster than the Previous Top Two Leaders Combined, yet Costs Only a Fraction of Their Price in Head-to-head Comparisons Validated by the Storage Performance Council; See Chart Below:<br />
<img alt="Top 3 Capture" data-displaymode="Original" height="176" src="https://www.datacore.com/sf-images/default-source/feature-diagrams/top-3-capture.png?sfvrsn=0" style="vertical-align: middle;" title="Top 3 Capture" width="560" /><br />
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<strong>Comments from the original article:</strong> <br />
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The DataCore SPC-1-topping benchmark has attracted attention, with some saying that it is artificial (read cache-centric) and unrealistic as the benchmark is not applicable to today's workloads.<br />
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Oracle SVP Chuck Hollis told The Register: "The way [DataCore] can get such amazing IOPS on a SPC-1 is that they're using an enormous amount of server cache."<br />
...In his view: "The trick is to size the capacity of the benchmark so everything fits in memory. The SPC-1 rules allow this, as long as the data is recoverable after a power outage. Unfortunately, the SPC-1 hasn't been updated in a long, long time. So, all congrats to DataCore (or whoever) who is able to figure out how to fit an appropriately sized SPC-1 workload into cache."<br />
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But, in his opinion, "we're not really talking about a storage benchmark any more, we're really talking about a memory benchmark. Whether that is relevant or not I'll leave to others to debate."<br />
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<strong>DataCore's response ... Sour grapes</strong><br />
Ziya Aral, DataCore's chairman, has a different view, which we present in at length as we reckon it is important to understand his, as well as DataCore's, point of view.<br />
"Mr. Hollis' comments are odd coming from a company which has spent so much effort on in-memory databases. Unfortunately, they fall into the category of 'sour grapes'."<br />
“The SPC-1 does not specify the size of the database which may be run and this makes the discussion around 'enormous cache', etc. moot,” continued Aral. “The benchmark has always been able to fit inside the cache of the storage server at any given point, simply by making the database small enough. Several all-cache systems have been benchmarked over the years, going back over a decade and reaching almost to the present day.”<br />
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"Conversely, 'large caches' have been an attribute of most recent SPC-1 submissions. I think Huawei used 4TB of DRAM cache and Hitachi used 2TB. TB caches have become typical as DRAM densities have evolved. In some cases, this has been supplemented by 'fast flash', also serving in a caching role."<br />
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<strong>Aral continued:</strong><br />
In none of the examples above were vendors able to produce results similar to DataCore's, either in absolute or relative terms. If Mr. Hollis were right, it should be possible for any number of vendors to duplicate DataCore's results. More, it should not have waited for DataCore to implement such an obvious strategy given the competitive significance of SPC-1. We welcome such an attempt by other vendors.<br />
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“So too with 'tuning tricks,'” he went on. “One advantage of the SPC-1 is that it has been run so long by so many vendors and with so much intensity that very few such "tricks" remain undiscovered. There is no secret to DataCore's results and no reason to try guess how they came about. DRAM is very important but it is not the magnitude of the memory array so much as the bandwidth to it."<br />
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<strong>Symmetric multi-processing</strong><br />
Aral also says SMP is a crucial aspect of DataCore's technology concerning memory array bandwidth, explaining this at length:<br />
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As multi-core CPUs have evolved through several iterations, their architecture has been simplified to yield a NUMA per socket, a private DRAM array per NUMA and inter-NUMA links fast enough to approach uniform access shared memory for many applications. At the same time, bandwidth to the DRAMs has grown dramatically, from the current four channels to DRAM, to six in the next iteration.<br />
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The above has made Symmetrical Multi-Processing or SMP, practical again. SMP was always the most general and, in most ways, the most efficient of the various parallel processing techniques to be employed. It was ultimately defeated nearly 20 years ago by the application of Moore's Law – it became impossible to iterate SMP generations as qucikly as uniprocessors were advancing.<br />
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DataCore is the first recent practitioner of the Science/Art to put SMP to work... in our case with Parallel I/O. In DataCore's world record SPC-1 run, we use two small systems but no less than 72 cores organized as 144 usable logical CPUs. The DRAM serves as a large speed matching buffer and shared memory pool, most important because it brings a large number of those CPUs to ground. The numbers are impressive but I assure Mr. Hollis that there is a long way to go.<br />
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DataCore likes SPC-1. It generates a reasonable workload and simulates a virtual machine environment so common today. But, Mr. Hollis would be mistaken in believing that the DataCore approach is confined to this segment. The next big focus of our work will be on, analytics which is properly on the other end of this workload spectrum. We expect to yield a similar result in an entirely dissimilar environment.<br />
The irony in Mr. Hollis' comments is that Oracle was an early pioneer and practitioner of SMP programming and made important contributions in that area.<br />
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<strong>DRAM usage</strong><br />
DataCore's Eric Wendel, Director for Technical Ecosystem Development, added this fascinating fact: "We actually only used 1.25TB (per server node) for the DRAM (2.5TB total for both nodes) to get 5.1 million IOPS, while Huawei used 4.0TB [in total] to get 3 million IOPS."<br />
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Although 1.536TB of memory was fitted to each server only 1.25TB was actually configured for DataCore's Parallel Server (See the full disclosure report) which means DataCore used 1.5TB of DRAM in total for 5 million IOPS compared to Huawei's 4TB for 3 million IOPS... </div>
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DataCorehttp://www.blogger.com/profile/15433508761168995856noreply@blogger.com0