Flash Ahead with IBM Power Systems & IBM FlashSystems

Transcription

1 Flash Ahead with IBM Power Systems & IBM FlashSystems

2 Why Flash In the last 10 years: CPU Performance 8-10x increase DRAM Speed 7-9x Network Speed 100x Bus Speed 20x Disk Speed 1.2X and everything waits

3 System Performance = Processing Power + IO speed Server Side Processing Power (TPC) Balanced Performance Un Balanced Performance Queue Storage Side Aplication IOs(SPC)

4 Typical Responses to Performance Gap Most Costly & Volatile Add More Memory HDD Performance Enhancement Wasteful, Expensive & Ineffective with Storage Latency Issues Typical Performance Mitigation Tactics Expensive & Ineffective for Storage Performance Issues Add CPUs Tune & Modify Application Time Consuming, Very Expensive & Risky

5 Latency Translates to Application Efficiency Servers, Applications and Databases are FASTER! Benefits & economics outweigh disk No application Or architecture Changes CPU Utilization & App. Efficiency 4% Total Application Processing Time 5,200us (5.2ms) 5,000us (5ms) Application Processing Time What do you do with the Extra Time? Time Waiting for I/0 (Waiting for Array) CPU Utilization & App. Efficiency 50% Total Application Processing Time 400us (.4ms) 200us (.2ms) Reduce floor space, power & cooling 200us (.2ms) Disk/Hybrid/SSD Time Processing Data (Server CPU) IBM FlashSystem 200us (.2ms)

6 Internal combustion engine having better Roadmap than HDD Horse power / Engine Size IOPS / capacity GB >100 years >20 years Time Time

7 IBM Flash 840, 23 IO/GB 7.2k rpm 10k rpm 15k rpm 80 IOPS per drive 130 IOPS per Drive 180 IOPS per Drive 180 GB IO/GB 4000 GB Now 0.02 IO/GB 146 GB IO/GB GB Now IO/GB 146 GB IO/GB 900 GB Now 0.2 IO/GB x 22 Times Slow x 8.24 Times Slow x 6.15 Times Slow

8 Why Don t HDDs Spin Faster than 15K RPM? The power it takes to run it increases disproportionately for 30k rpm, 4 times more watts/gb Threaten the lifetime of the HDD. Gyroscopic impact due to supersonic speed Data in accuracy Even 50,000 rpm is less than performance of SSD

9 It s time to shift the discussion Dawn of Storage 2005 Cloud Analytics Mobile Social Capacity Bandwidth IOPS Latency OLTP Batch International Business Machines Corporation

10 Individual driver: Travel quickly Latency Autobahn designer: Put through many vehicles IO per sec More vehicles per second: IOPS (buy more lanes) Best performance (use faster car) Microlatency Image: autozeitung.de Flash Memory Discussion Classic Storage IOPS

11 MicroLatency: Cost of a Microsecond A 1-SECOND DELAY IN PAGE LOAD TIME = 7% LOSS IN CONVERSIONS 11% FEWER PAGE VIEWS 16% DECREASE IN CUSTOMER SATISFACTION In dollar terms, this means that if your site typically earns $100,000 a day, this year you could lose $2.5 million in sales. Source: Aberdeen Group

12 Flash Means Economics Why all technologies getting smaller except storage For 1,3M IOPS database IBM FlashSystem 2 x IBM FlashSystem Racks, 1.25kW Annual Power Cost: $4,505 Storage Cost: $1.0M (List) Competitive Hybrid 2, Disks SSD s 8 Racks, 30kW; 114,700 Btu/hr Annual Power Cost: $88,198 Storage Cost: $10.6M (List) Competitive All Disk 5,000 Disks 18 Racks, 70kW; 229,400 Btu/hr Annual Power Cost: $177,232 Storage Cost: $13.6M (List)

13 Will Flash Memory replace disks? including TLC USB Flash price, consumer perception SLC Flash MLC Flash TLC Flash (3 bit per cell) 15k RPM Nearline SMR / HAMR disks

14 How are FlashSystem and SSDs different? These factors add (+) latency! Array operating system and SW layers Out-of-path array controllers SAS/disk controllers Shared data path/bus Data protection (RAID) outside SSD Tiering and variable performance FlashSystem: These factors reduce (-) latency! No software layers, no operating system HW-optimized and designed for flash Massive internal parallelism Purpose-built (FPGA) Flash

15 A 500GB Usable SSD (512GB Raw) Circuit Board Flash RAM Connector Protocol & Flash Processor 512GB RAW SSD 1 Connector 1 ARM Processor 1 RAM chip 8 Flash chips 2.3% overprovisioning

16 A 4096GB Usable FlashSystem Flash Module (5120GB Raw) FPGA FPGA FPGA 4,096GB Module: 1 Connector 1 PPC Processor 5 FPGAs x RAM chip 80 Flash chips 20% overprovisioning FPGA FPGA Primary Board (2TB) Secondary Board (2TB) - Optional

17 Value of Data Economics FlashSystem 840 vs. whatever IBM FlashSystem 840 Mystery All Flash, SSD-based Array FlashSystem Data can come from specs, benchmarks or better, a real POC!

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19 Introducing IBM FlashSystem 840 Throughput 1M IOPS (Read) Bandwidth 8GB/s (Read) 4GB/s (Write) Latency 130μs Read 75μs Write Scalability 600K IOPS (Write) Up to 40TB Usable (RAID5) Encryption Rack Space Native (XTS-AES) 2U Host Connectivity 8Gb/s & 16Gb/s FC 10 Gbp/s FCoE 40Gb/s Infiniband Hardware Components Fully Redundant Hot Swappable

20 If You Want Advance Storage Services, Which one You Chose? Proven SVC code since 2003, 10,000s of customers with many customers over PB of data (v840) 1-2 year startup company no proven track record

21 IBM acquires Texas Memory Systems (TMS) 2012 RamSan-720: 5/10 TB SLC Flash, 4 FC (8 Gb)/IB RamSan-710: 5 TB SLC Flash, 4 FC (8 Gb)/IB (QDR) RamSan-640: 8 TB SLC Flash, 10 FC (8 Gb)/IB (QDR) RamSan-620: 5 TB SLC Flash, 8 FC (4 Gb) RamSan-440: 512 GB RAM, 8 FC (4 Gb) RamSan-400: 128 GB RAM, 8 FC (4 Gb), 4 IB (4x) SAM 500: DSP/SSD, 64 GB RAM, 15 FC (1 Gb) SAM-2000: DSP system Company founded by Holly Frost RamSan-820: TB emlc Flash, 4 FC (8 Gb)/IB RamSan-810: 10 TB emlc Flash, 4 FC (8 Gb)/IB (QDR) RamSan-70: 900 GB SLC Flash, PCIe x8 2.0 RamSan-630: 10 TB SLC Flash, 10 FC (8 Gb)/IB (QDR) RamSan-20: 450 GB SLC Flash, PCIe x4 RamSan-500: 2 TB SLC Flash, 64 GB RAM, 8 FC (4 Gb) RamSan-320: 64 GB RAM, 8 FC (2 Gb) RamSan-210/220: 32 GB RAM, 4 FC (2 Gb) SAM-350/SAM-450: DSP system Custom systems for seismic industry CMPS: custom SSD for Gulf Oil

22 IBM Flash Ahead Initiative IBM announces new investments to help clients benefit from the value of flash More than $1B for Flash research & development in systems and software 12 IBM Flash Centers of Competency around the world to help clients transform their systems IBM introduces IBM FlashSystem TM new all-flash storage offerings (Texas Memory Systems acquisition)

23 IBM Flash Storage options Grid cache SSD modules IBM FlashSystem 840 IBM FlashSystem 840 no SSDs 100µs cache miss NATIVE four 1U Flash units DS8870 with auto-tiering POWER and mainframe IBM XIV classic SSD option w/ auto-tiering IBM Storwize IBM Flash Adapter 90 ~200µs cache miss SSD ~500µs cache miss Use with Easytier server to sync with DS8000 tiering. Caution using clusters or VMotion (multiple writers)! MODULAR

24 Flash Deployment Options Flash as Read Cache Sub Volume Level Automated Tiering Preferred Read Mirroring Flash Write IO Read IO 15k or 10k rpm Any Storage IBM Flash Nearline IBM XIV, DS8870 ET server (AIX) Across Systems With ET with External Storage Virtualization. Across Systems with Native VDM, LVM and FS utilities

25 DS8870 EasyTier Server, AIX only IBM pseries Host IBM pseries Host IBM pseries Host IBM pseries Host Cache Client Driver Cache Client Driver Cache Client Driver Cache Client Driver Flash Cache Flash Cache hdisk6 Flash Cache hdisk9 hdisk10 hdisk6 hdisk11 hdisk9 hdisk10 hdisk11 Flash Cache hdisk6 Local Flash Local Flash Local Flash hdisk9 hdisk10 hdisk11 Cache Server Cache Server Cache Server Cache Server LUN3 LUN2 LUN1 LUN3 LUN2 LUN1 LUN3 LUN2 LUN1 IBM DS8870 IBM DS8870 IBM DS8870 IBM DS

26 Variable Stripe RAID (VSR) Patented VSR allows RAID stripe sizes to vary. If one die fails in a ten-chip stripe, only the failed die is bypassed, Data is restriped across the remaining nine chips. VSR reduces maintenance intervals caused by Flash failures FAIL

27 2D Flash RAID External Interfaces (FC, IB) RAID Controllers RAID 5 within Flash Modules (9 data + 1 parity) FlashSystem 2D Flash RAID RAID 5 across Flash Modules (10 data + 1 parity + 1 hot spare)

28 Which are the Flash hungry applications? Telecom Financial Media Healthcare Public Billing CRM EoM Batch VoD Simulation HIS Analytics GIS Virtual Desktop Interface (VDI) Databases (ERP, CRM, Analytics, ) VTL Backup Performance

29 The Journey to Smarter Storage - Smart Steps 6 Hours Billing cycle went down from 5 daysto 6 Hours No application changes Improved server utilization 10TB in 3.5 inches of rack space vs. 1,300 disk drives providing 400K IOPs, less than 1/10 th the cost

30 IBM FlashSystem: The Ultimate Performance Boost IBM Power System Preferred Read Mirroring Non Disruptive Performance Improvement to Existing Storage!!!

31 Preferred Read Mirroring Remote Replication OS Write IO File System Write LVM IO Copy 21 Read Write IO Storage Based Remote Replication Write IO DR copy Read IO IBM Flash

32 Power Scale-Out Edition for Databases I just need 1/4 Rack

33 Power 780 (POWER7+) 96 cores 3.72Ghz 1TB RAM Temenos T24 outstanding performance using IBM Power and Flash Storwize V7000 (for online and batch) RAC1 16 cores/128gb RAM AIX7.1 TL2 SP2 Oracle EE RAC2 16 cores/128gb RAM AIX7.1 TL2 SP2 Oracle EE x4 x4 SAN x4 1 x Controller + 5 x Enclosures 136 x 300GB 15KRPM SAS + 8 x 300GB SSD T24 AS1 32 cores/128gb RAM AIX7.1 TL2 SP2 T24R13 T24 AS2 32 cores/128gb RAM AIX7.1 TL2 SP2 T24R13 T24 AS3 28 cores/80gb RAM AIX7.1 TL2 SP2 T24R13 x4-8gb FC TMS 810 (for high-watermark batch) WebLogic 8 cores/64gb RAM AIX7.1 TL2 SP2 WebLogic Fibre Channel (8Gbps) RAC Interconnect Application Network (Virtual VLAN [PowerVM Hypervisor]) Management Network (1Gbps)

34 Executive Summary IBM Power and IBM Flash achieved highest throughput ever achieved for T24 capitalization batch with a throughput of tps (transaction per second). T24 was configured with Oracle RAC as backend and a multi-application server configuration tps 330 agents tps 5203 tps 320 agents IBM Power POWER7+ 3.7Ghz cores IBM FlashSystem 810 / RAID5 80 Intel Cores 2.4 Ghz (HP DL980) X-10 Hyper ISE / RAID10 64 Intel Cores (7560) X-10 Hyper ISE / RAID IBM Montpellier Client Center 2012 Microsoft Redmond 2008 Microsoft Redmond 6200 tps Full Rack Exa 2-2 TCF

35 Power 8 and FlashSystem delivering customer value

36 Proof points: Speedup in SAP ERP Batch runs and backup/restore operations with/without IBM FlashSystem Customer: Stuttgarter Straßenbahnen AG SAP service provider Database: Oracle 2h 5h 48h Servers: IBM Power Systems running on AIX Storage architecture: uses SVC stretched cluster 6min 40min 8h 36

37 Managed Service Provider, Cegeka, uses IBM FlashSystem to accelerate SAP Customer: Cegeka, leading Belgium IT company Storage architecture: Deployed IBM FlashSystem 820 into their SAN with IBM SVC Pleaced critical e-business applications requiring consistent high performance onto FlashSYstem to drastically improve processes Servers Switch Benefits: SVC XIV FlashSystem 820 Video available at watch?v=0oejm-fhd84 37

38 PoC at customer ABB: Initial situation Current SAP landscape: 15 major manufacturing plants all running and dependent on SAP business applications SAP users: 7,500 Servers: IBM Power Systems / AIX Storage Systems: IBM DS8700 (data mirrored between 2 data centers) Customer pain points: SAP User unsatisfied with current SAP performance Delays in month-end batch reads and reporting Dialog response times approaching business SLAs Performance concerns because of hesitation to invest in growth Alternative tested to improve situation: Additional CPU => Limited improvements with additional cost SAP dedicated SAN => Too expensive DS8700 SSD => Too expensive and configuration limitations SAP / Oracle tuning => Limited changes helped a little, extensive changes, too labor intensive SAP HANA => Unproven; insufficient app team cycles 38

39 PoC at customer ABB: The solution with IBM FlashSystem Technical Implementation: Migrate the prime database and logs to 2x 6TB IBM FlashSystem Model 810 Position the 810s behind the existing SVC clusters Mirror LUNs between 810s at the host level Benefits of IBM FlashSystem solution: Quantitative performance target: 213% improvement because of less CPU Near price parity with DS8700 disk Fully SVC compliant allowing for transparent migration No changes to existing production environment required Full integration with existing Tivoli monitoring via SNMP Results: Initial testing on QR showed 35% latency improvement Month-end batch runs expectations => 464% improvement CPU reductions to be tested soon (potential more cost savings) ABB is now a reference account for IBM FlashSystem New multiple SAP growth projects underway 39

40 Flash for the enterprise data center Redefine Tier 1 Performance Software Defined Storage Deep Application Integration Easy to Manage Flash for Less Than Disk Flexible Architecture Enterprise RAS

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42 Open Innovation to Put Data to Work

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