© Wikibon 2008© Wikibon 2014 www.wikibon.org
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[[The Wikibon Project]]
Monster Trends in Enterprise Tech
The Flash Disrupt...
© Wikibon 2008© Wikibon 2014 www.wikibon.org
Key Trends
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IoT
Fog Computing
Flash
© Wikibon 2008© Wikibon 2014 www.wikibon.org
Key Trends
3
IoT
Fog Computing
Flash
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
• CIO's should expect that high v...
© Wikibon 2008© Wikibon 2014 www.wikibon.org
How Flash Helps Existing Apps
• Speeds them up: milliseconds to
microseconds
...
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
• Customers can add to current ar...
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
Flash & Database
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© Wikibon 2008© Wikibon 2014 www.wikibon.org
Design & Architecture Problems
• DRAM non-persistent, Write-time to
acknowled...
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
Atomic Storage
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• Atomic Storage...
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
Workload Differentiation
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© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
Technology Trends
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© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
Flape – Flash & Tape
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© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
A Word on Converged Infrastructur...
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
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Converged Infrastructure
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
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Converged Applications
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
Converged Application Business Ca...
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
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Server SAN
© Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014
• Flash on Memory (NVDRAM)
– Earl...
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Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for Database and Business

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David Floyer, CTO of Wikibon, made this presentation at the June 2014 Meetup of the Silicon Valley Database Meets SSD Meetup. See: http://www.meetup.com/db-speed-sv/files/

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Monster Trends in Enterprise Tech: The Flash Disruption and What it Means for Database and Business

  1. 1. © Wikibon 2008© Wikibon 2014 www.wikibon.org 1 [[The Wikibon Project]] Monster Trends in Enterprise Tech The Flash Disruption, & what it Means for Database & Business David Floyer CTO & Co-founder, The Wikibon Project 1
  2. 2. © Wikibon 2008© Wikibon 2014 www.wikibon.org Key Trends 2 IoT Fog Computing Flash
  3. 3. © Wikibon 2008© Wikibon 2014 www.wikibon.org Key Trends 3 IoT Fog Computing Flash
  4. 4. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 • CIO's should expect that high value, revenue-producing applications will be most affected by these changes. As such there is an opportunity to improve the amount of data that can be processed within a transaction by 1,000X. This means organizations will be able to dramatically enhance the quality, performance, and end-user experience of their most important IT application assets. • Vendors have seen a steady migration of storage function away from the processor for the past two decades, creating a multi-billion dollar storage software market. Function will increasingly migrate back toward the processor creating a dislocation that is both an opportunity and threat to established array vendor software franchises. The Flash Attack 4
  5. 5. © Wikibon 2008© Wikibon 2014 www.wikibon.org How Flash Helps Existing Apps • Speeds them up: milliseconds to microseconds • Wikibon Case Study: Revere * (200 person) • Before: Only Call Center in Prime-time • After: All departments could operated in Prime- time • Business benefit: 20% growth with no additional people, $1 Million to the bottom line • Cost: 1 Flash card • ROI: almost infinite, with <3 month break-even * Reference: http://wikibon.org/wiki/v/Case_Study:_The_Hunting_of_the_RARC Flash Memory Summit 2013 Santa Clara, CA 5
  6. 6. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 • Customers can add to current architectures & protocols (e.g. Bolt on SSDs and flash for read IOs) but unless you have a “write to flash first” architecture with a single master copy which primarily resides in flash – you’ll never be able to scale. • Without a “write to flash first” architecture, the cost of software and hardware at scale become prohibitive • This ripples thru to OPEX because the amount of effort required at scale to tune the system is expensive • Traditional arrays today don’t scale well- i.e. Ones that use “Flash Cache” (reads) and SSD (writes). The problem w/SSD is you have to manually allocate the volume – too hard and too expensive • All-Flash Arrays with De-duplication & Compression gives competitive costs with tiered storage with lower OPEX costs - give very consistent performance for database • Application-led Open-source Server SAN - In general, the more integration that can be done closer to the application…costs will be lower, performance better and value higher Hybrid & All-Flash Arrays 6
  7. 7. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 Flash & Database 7
  8. 8. © Wikibon 2008© Wikibon 2014 www.wikibon.org Design & Architecture Problems • DRAM non-persistent, Write-time to acknowledgement key problem • Elapsed Time milliseconds (20-200ms) • Variance very high (for Databases) • Limits Design for Transactional Applications • 100DB calls/transaction • Limits Scope of Analytic Systems (DRAM?) • Modular Systems, difficult to deploy, business fits to application Flash Memory Summit 2013 Santa Clara, CA 8
  9. 9. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 Atomic Storage 9 • Atomic Storage reduces latency from milliseconds to microseconds • Latency Variation as important (or more important) as Average Latency for Databases • SCSI overhead must be tackled: • PCIe primitives • NVM on Memory Bus
  10. 10. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 Workload Differentiation 10
  11. 11. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 Technology Trends 11
  12. 12. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 Flape – Flash & Tape 12
  13. 13. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 A Word on Converged Infrastructure 13 Wikibon recently interviewed Wikibon members who have adopted converged infrastructure solutions in Oracle environments. From these findings and other research, Wikibon has calculated that IT executives can expect savings of 40% to 50% in costs or equivalent value by adopting an aggressive on- premise IaaS with the minimum number of SKUs, even after taking into account the higher costs of highly converged solutions. In a detailed analysis of Oracle DBA productivity Wikibon shows that by adopting best practices in Oracle environments, database admin (DBA) productivity is improved by 50%.
  14. 14. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 14 Converged Infrastructure
  15. 15. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 15 Converged Applications
  16. 16. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 Converged Application Business Case 16
  17. 17. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 17 Server SAN
  18. 18. © Wikibon 2008© Wikibon 2009 | Confidential www.wikibon.orgwww.wikibon.org© Wikibon 2014 • Flash on Memory (NVDRAM) – Early days • Other NVM Technologies – PCM, Memristor – 5-years out • Flash will drive New Applications solving New Business Opportunities Futures 18

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