![4
I/O Challenges Affect Productivity and Revenue
“… some people have a hard time grasping it, these (solid state)
drives save a tremendous amount of money.”
“Even very small delays would result in substantial and costly
drops in revenue” [when search results pages were slowed by
1 second … +0.1 seconds costs Amazon 1% of sales]
Source: http://highscalability.com/blog/2009/7/25/latency-is-everywhere-and-it-costs-you-sales-how-to-crush-it.html
and Cade Metz, “Flash Drives Replace Disks at Amazon, Facebook, Dropbox,” Wired, June 13
Artur Bergman
Founder of Fastly
Greg Linden
Amazon](https://image.slidesharecdn.com/97a5bb51-be71-4eca-89ee-ebb50a69d2f8-150326212102-conversion-gate01/85/Rob-Callaghan_OOW14-IO-Performance-for-Database-4-320.jpg)
Rob Callaghan_OOW14 IO Performance for Database
- 1. 1 Expanding the Possibilities of Storage For enterprise, hyperscale, cloud For consumers For mobile and connected OEMs Rob Callaghan Ultra-Low Latency and Scalable I/O Performance for Accelerated Database Performance
- 2. 2 Forward Looking Statements During our meeting today, we may make forward-looking statements. Any statement that refers to expectations, projections or other characterizations of future events or circumstances is a forward-looking statement, including those relating to market position, market growth, product sales, industry trends, supply chain, future memory technology, production capacity, production costs, technology transitions, construction schedules, production starts, and future products. This presentation contains information from third parties, which reflect their projections as of the date of issuance. Actual results may differ materially from those expressed in these forward-looking statements due to factors detailed under the caption “Risk Factors” and elsewhere in the documents we file from time to time with the SEC, including our annual and quarterly reports. We undertake no obligation to update these forward-looking statements, which speak only as of the date hereof.
- 3. 3 Widening Performance Gap 1990 1995 2000 2005 2010 2015 Server CPU Performance Challenge: Legacy Storage I/O Bottleneck Source: StorageIOblog; Sep 2009; http://storageioblog.com/data-center-io-bottlenecks-performance-issues-and-impacts/ Aligning Performance SSD Performance HDD Performance
- 4. 4 I/O Challenges Affect Productivity and Revenue “… some people have a hard time grasping it, these (solid state) drives save a tremendous amount of money.” “Even very small delays would result in substantial and costly drops in revenue” [when search results pages were slowed by 1 second … +0.1 seconds costs Amazon 1% of sales] Source: http://highscalability.com/blog/2009/7/25/latency-is-everywhere-and-it-costs-you-sales-how-to-crush-it.html and Cade Metz, “Flash Drives Replace Disks at Amazon, Facebook, Dropbox,” Wired, June 13 Artur Bergman Founder of Fastly Greg Linden Amazon
- 5. 5 Industry Challenge: Efficiently Scaling Databases Data explosion accompanied by growing demand for transactional performance and analytics Adding servers / CPU / memory / HDD storage is not cost effective Need for low-latency I/O and storage Opportunity: Seamless, low-latency database scaling
- 6. 6 Industry Challenge: Datacenter Sprawl IT environments running up against I/O and storage bottlenecks Low storage performance creates inefficiencies in datacenter Application acceleration costs are straining IT budgets Opportunity: Eliminate I/O bottlenecks to allow storage consolidation
- 7. 7 Flash Storage - Database Performance Game Changer Flash Storage into the Data Center provides performance gains that were difficult to reach using hard disk technology. SanDisk’s broad range of Flash Solutions allow companies to easily tier data using the features of Oracle, – Providing solutions for servers and storage arrays with different performance characteristics and cost metrics Intelligent Software takes advantage of this faster hardware. Database Smart Flash Cache, on Oracle Linux to accelerate I/Os for read-mostly database and provides intelligent caching of hot data on the Oracle server. – Using flash as a persistent extension of system memory • Auto-Commit Memory for Oracle • Atomic Writes for Oracle
- 8. 8 Latency(µsec) 1s 10s 1000s 100s DRAM Memory IOPS 100 100,000 1,000,000 SAS/SATA/FCPCIeDDR Breakingthe memorybarrier L1/L2 Cache SanDisk now leads the industry with the fastest storage
- 9. 9 The World’s First Flash Storage Device on the Memory Channel Enterprise level endurance with MLC 10 drive writes per day 5 year warranty Guardian Technology™ Back up power circuitry Full data path protection Enterprise class MTBF Enterprise Class Reliability DDR3 protocol Configured as block device (through device driver) Memory Channel Interface Lowest write latency (less than 7 usec) Scalable performance by adding additional ULLtraDIMM™ SSDs Ultra Low Latency, High Performance 200, 400 GB Scalable architecture 19nm flash technology (MLC) Scalable, Cost Effective Media
- 10. 10 Scalable I/O Performance, Constant Latency 0 10 20 30 40 50 60 70 80 90 100 0 200 400 600 800 1000 1200 1400 1 2 4 8 Latency(us) (K)IOPS Number of ULLtraDIMM™ Devices 400G 800G 1600G 3200G Demonstrated at the Open Compute Summit – Jan 2014 IBM 3650 2-socket server running Red Hat version 6.3
- 11. @FlashStorageMan @SanDiskDataCtr @OracleOpenWorld #OOW2014 Thank You! Keep up to date with the latest technology trends and news at ITBlog.SanDisk.com