SAP Applications on IBM XIV System Storage
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1 SAP Applications on IBM XIV System Storage Hugh Wason IBM Storage Product Manager
2 SAP Storage Market - Why is it Important? Storage Market for SAP is estimated at $2Bn+ SAP BW storage sizes double every 1-2 years Storage value is similar or greater than Server opportunity in new SAP installations SAP Data is generally core data SAP customers invest heavily in managing data distribution to maintain performance
3 SAP Customer reasons to act: Complexity of SAP landscape increases constantly Number of SAP Instances Number of SAP Applications Number of Server Growth of Capacity requirements Number of Volumes/LUNs to manage Volumes of Backups. 3 Competitive Win-Back with IBM XIV in SAP installed customers
4 An effective SAP storage infrastructure requires four main sets of components: 1. Storage Platforms 2. Software Tools for: Point-in-Time Copy Backup and Recovery Archiving and Content Management Business Continuity Management Storage Infrastructure Management & Other Functions 3. Cross Platform Virtualization Capabilities 4. Storage Area Network (SAN) Integration 4
5 Agenda The Traditional SAN-Storage Challenge Parallel GRID Storage Architecture Reliability for Enterprise Applications Performance Sizing Guidelines for SAP Sizing Considerations for virtualized XIV Backup Strategies for SAP CAPEX and OPEX Savings with XIV References / Reference Material 5
6 Traditional Storage Systems: Complex & Static Data Layout You never get optimal performance Unless you stripe everything over everything which is a manual and time consuming task Data layout planning Optimal performance requires complex data layout planing SAP1 Several steps required to stripe data Format arrays Create LUNs and map to hosts Group LUNs into a volume group Create striped filesystems across disks Data layout is static Changes is configurations such as new disks require manual work to redistribute data. SAP2 SAP3 6
7 Traditional Storage Systems: Orphaned Space Effective Capacity Static dedication of LUNs to disk-arrays leads to orphaned spaces. De-provisioning of unutilized space is complex and requires manual steps orphaned spaces SAP1 SAP2 SAP3 7
8 Storage Management - Performance Traditional Architectures XIV COMPLEXITY GROWS WITH CAPACITY REQUIRES MORE Pre-Planning INCREASED RISK to existing production REQUIRES MORE monitoring & tuning LOWER capacity utilization COMPLETELY Automated Process NO Pre-Planning AUTOMATIC load balancing HIGHEST capacity utilization 8
9 Agenda The Traditional SAN-Storage Challenge Parallel GRID Storage Architecture Reliability for Enterprise Applications Performance Sizing Guidelines for SAP Sizing Considerations for virtualized XIV Backup Strategies for SAP CAPEX and OPEX Savings with XIV References / Reference Material 9
10 From Dual Controller to Parallel GRID Storage How is XIV different? Traditional Architectures XIV Virtualized Storage Software Interface Interface Interface Controllers Module Cache JBOD 10 Module Module Module JBOD Controller-centric Centralized, shared cache Distributed grid of commodity servers Proprietary/Custom Software only Proprietary/Custom Hardware & Software Module Module Switching Module Module Distributed cache Needs lots of shared bandwidth No shared bandwidth needed Complex cache lock management No complex lock management How do you scale beyond the controller? Scales in every dimension
11 Traditional Dual Controller I/O IOs must pass single or dual controller No parallel IO -> needs fast Disks! Hot spots most likely to occur due to manual data layout procedure Raid configuration/formatting Striping etc. Interface Interface Interface Controllers Cache JBOD JBOD 11
12 XIV Grid Architecture enabling Virtualization IBM XIV Storage System has a unique data distribution technique Each volume is spread across all drives Data is cut into 1MB partitions and stored on the disks XIV algorithm automatically distributes partitions across all disks in the system pseudo-randomly Interface Interface Interface Switching Data Module Data Module Data Module 12
13 XIV s Massively Parallel Architecture All IO parallel! Data Totally balanced: Paths, CPUs, Caches, Disks No Hotspots! Data Module Data Module Data Module Data Module Data Module Data Module Switching Switching Data Module Data Module Data Module Data Module Data Module Data Module 13
14 XIV Data Distribution Benefits All spindles are always utilized Application get the full system power regardless of access patterns No management effort or optimization No Hot-Spot Rebuild of one failed HDD takes +/-30 minutes for 1TB Uniform data distribution through entire usage life 14
15 Agenda The Traditional SAN-Storage Challenge Parallel GRID Storage Architecture Reliability for Enterprise Applications Performance Sizing Guidelines for SAP Sizing Considerations for virtualized XIV Backup Strategies for SAP CAPEX and OPEX Savings with XIV References / Reference Material 15
16 XIV Storage Distribution Technique System Change #1 Data distribution only changes when the system changes Equilibrium is kept when new hardware is added Equilibrium is kept when old hardware is removed Equilibrium is kept after a hardware failure Data Module 1 Data Module 2 Node 1 Node 2 Data Module 3 Node 3 16
17 XIV Storage Distribution Technique System Change #2 Data distribution only changes when the system changes Equilibrium is kept when new hardware is added Equilibrium is kept when old hardware is removed Equilibrium is kept after a hardware failure Data Module 1 Data Module 2 Data Module 3 Data Node Module 4 4 [ hardware upgrade ] 17
18 XIV Storage Distribution Technique System Change #3 Data distribution only changes when the system changes Equilibrium is kept when new hardware is added Equilibrium is kept when old hardware is removed Equilibrium is kept after a hardware failure [ hardware failure ] Data Module 1 Data Module 2 Data Module 3 Data Module 4 18
19 Let s look at some real live test (customer) 19
20 Reliability Live Tests Test series I: Singe + Double Disk Failures (36 TB Data) 1.Test: Single Disk Failure 17:14 Removed one Disk. XIV starts redistribution 17:16 - Redistribution finished. System full redundant. 2.Test: Double Disk Failures 17:25:53 and 17:25:57 : Disk 14:7 and 14:6 removed 17:27:17 Data Redistribution completed Test series II: Total Module Failure (52 TB Data) 3. Test: Total Module Failure 14:20:12 Remove Power from Data Module -> immediate down 14:45:45 Data Rebuild finished 20
21 Test series I: Rebuild Statistics Overall 17 Disks failed within one hour and XIV is still full redundant after some minutes 21
22 Autonomic Rebuild : Event Log 22
23 Heavy availability test Tested failure of 3 Modules within 2 hours No problem since redundancy recovered much faster At the same time Module failure Switch failure UPS failure XIV lost not even a single bit! 23
24 Agenda The Traditional SAN-Storage Challenge Parallel GRID Storage Architecture Reliability for Enterprise Applications Performance Sizing Guidelines for SAP Sizing Considerations for virtualized XIV Backup Strategies for SAP CAPEX and OPEX Savings with XIV References / Reference Material 24
25 Storage Sizing Guidelines for SAP Storage system are sized based on number of SAPS it can service: ERP (OLTP) 1 SAPS is equivalent to approx. 0.4 IO per sec BW/BI (OLAP) 1 SAPS is equivalent to approx. 0.6 IO per sec The service time performance constraints of a SAP ERP application: between 5 and 7 ms targeted / excepted between 10 and 15 ms - considered good above 20 ms - considered as performance bottleneck beyond 30 ms - system does not behave as expected towards the users Interactive type workload: OLTP with random access patterns. Standard estimation for sizing: 70/30/50 Batch type workload: Sequential workload 8-64 kb Blocksize for BW loads etc. 256 kb Blocksize for Backup/Restore 25
26 SAP OLTP Workload with XIV Typical Random OLTP Workload with 70/30/50 and 8kB Blocksize Guideline: XIV can handle up to 50,000 IOPS with < 15ms OLTP 70/30/50 OLTP 50/50/50 OLTP 30/70/50 Service Time in ms (Open) Total I/O Rate (I/Os per second)
27 OLAP Workload 90% read and write model (see graph) Of which 90% are sequential 64 kb Blocksize OLAP 64k seq OLAP 90% read OLAP 90% write MB/s ms
28 Performance Guidelines Across all Configurations Note: From IBM XIV Storage Systems Specifications March
29 Scalable Sequential Bandwidth Results based on a large number of concurrent 1MB sequential streams Measurements done with XIV Release 2.2 hardware and Release software Throughput (MB/sec) Sequential Bandwidth Read Write 6 Mod 1 TB 15 Mod 1 TB 29
30 100% Cache Miss Scalable Random I/O Results are for data to/from disk with 4 KB transfer size. XIV disk technology typically achieves up to 100 read IOPS per disk spindle. Writes may substantially exceed 100 IOPS per disk due to seek optimization Because of write cache efficiency and seek optimization, random write IOPS are slightly better than random read despite mirroring! Throughput (KIO/sec) Random I/O Random Read Random Write 6 Mod 15 Mod 30
31 4 KB Cache Hits Scalable Random I/O Results are for data to/from cache with 4 KB transfer sizes Note: The 6 Mod read hit value is estimated based on measurements with a single Interface Module and three Interface Modules. A two Interface Module test was delayed due to server availability issues but is planned near term. Throughput (KIO/sec) Cache Hits 20 0 Read Hit Write Hit 6 Mod 15 Mod 31
32 Sequential Bandwidth Performance Comparison Results based on a large number of concurrent 1MB sequential streams Overall sequential performance of XIV with 2 TB disk drives is equivalent to XIV with 1 TB disk drives Measurements done with XIV Release 2.2 hardware and Release software Throughput (MB/sec) Sequential Bandwidth 0 Read Write 6 Mod 1 TB 6 Mod 2 TB 15 Mod 1 TB 15 Mod 2 TB 32
33 Random IOPS Performance Comparison Full Rack Results based on a large number of concurrent random streams Random reads/writes are 100% cache misses. Overall random performance of XIV with 2 TB disk drives is more or less equivalent to XIV with 1 TB disk drives Measurements done with XIV Release 2.2 hardware and Release software Throughput (IO/sec) Random IOPS 0 4KB Random Read 4KB Random Write 64KB Random Read 64KB Random Write 1 TB XIV 2 TB XIV 33
34 Agenda The Traditional SAN-Storage Challenge Parallel GRID Storage Architecture Reliability for Enterprise Applications Performance Sizing Guidelines for SAP Sizing Considerations for virtualized XIV Backup Strategies for SAP CAPEX and OPEX Savings with XIV References / Reference Material 34
35 SAP Random I/O Characterization Traditionally application determines whether writes and reads are sequential or random As more Servers are attached to a storage system, the read & write data patterns to disk become more randomized High random read & write access greatly reduces traditional disk performance Disk bottlenecks reduce the consolidation ratio in the virtual infrastructure 35
36 SAP Random I/O Characterization The XIV Storage System already optimizes for random read/write access XIV read blocks in parallel and are not relying on sequential blocks for high IO Random seek times dramatically reduced More granular and efficient caching Highest performance for consolidated environments 36
37 Sizing Consideration for XIV Customer Example Customer has 40 Clients (SAP instances), each requiring 5,000 SAPS 40 x 5,000 SAPS = 200,000 SAPS ~ 100,000 IOPS With Traditional Storage (dedicated LUNS to arrays) we have to have a storage system providing 100,000 IOPS With manual planning and implementing Static layout etc SAP 1 SAP 2 SAP 3 SAP 4 SAP 5 SAP 6 SAP N XIV being totally virtualized, All LUNs use All physical disk & As customer (instances) have Peaks at varying times, XIV handles such IOPS Load without planning required with conventional arrays And think about your Test + Development environment XIV provides unlimited snapshots without performance penalty Saved huge amount of disks space (compared to data copies) 37
38 Agenda The Traditional SAN-Storage Challenge Parallel GRID Storage Architecture Reliability for Enterprise Applications Performance Sizing Guidelines for SAP Sizing Considerations for virtualized XIV Backup Strategies for SAP CAPEX and OPEX Savings with XIV References / Reference Material 38
39 Volume Snap XIV Storage SNAPs with No Limitations SNAPs creation/deletion is instantaneous High Performance WITH SNAPs Unlimited number of SNAPs (16,000) SNAP creation/deletion is instantaneous Differential SNAPs save 15-30% of storage capacity SNAP on SNAP (with clones) Excellent VSS Support High Performance SNAPs provide: Easier Physical Backup to Tape Instant recovery from Logical Backup Easy creation of Test and Dev. Environment Distributed SNAP on each Server. Extremely fast memory operations Accessing SNAPs is as fast as accessing production volumes Vol Boot-from-SAN with easy rollback Easy Data-Mining on Production data Each Restore As Server Volume Host Writes has pointers from SNAP data, it in is memory copy On a SNAP, each Server simply placed points to randomly the disks across that hold system the in data 1MB locally chunks to original chunks. Memory only Operation Snap 39
40 IBM XIV Snapshots Snapshot creation/deletion is instantaneous Takes 150 ms for any size of system, any capacity High performance WITH snapshots Unlimited number of snapshots Differential snapshots save 15-30% of storage capacity Snapshots on snapshots (with clones) 40
41 Remote Mirroring / Replication : Sync / Async XIV Storage: Functionality #3a Low Granularity Any-to-Any volume replication o Every I/O is committed to local & remote copies before completion Link Failure Policies: o Various policies upon link failure o Re-sync when link is resumed o Full completion or Fail o Automatic Snap used to keep copies self-consistent even during re-sync after link failure Preserves write order o Copies are self-consistent even during re-sync after link failure Flexible restore options: o Local servers and remote data o Remote servers and remote data o Remote server and local data Over dedicated FC or IP ports 41
42 Thin Provisioning Users define volumes with any logical size Users acquire only the physical capacity of XIV Storage needed for data that is actually written The part of the volume that contains no data does not consume any physical space Volume 50GB Volume 70GB 150 GB Amount of physical storage required Volume 50GB Volume 70GB Volume 30GB Actual Data Written 10GB Actual Data Written 30GB Actual Data Written 20GB 60 GB Volume 30GB Actual Data Written 10GB Actual Data Written 30GB Fat provisioned Thin provisioned Actual Data Written 20GB 42
43 Thin Provisioning Soft volume capacity The size viewed by hosts the traditional volume size Configurable by users Hard volume size The physical disk capacity available to applications Depends on how much data the applications write to disk Not configurable by users Will be less than or equal to the soft volume size Increasing volume size does not effect hard volume size Soft system size The logical limit of the sum of the sizes of the volume(s) defined in the system Not related to any direct system attribute Can only be set larger than hard system size if thin provisioning is used Hard system size The total physical capacity that was purchased or installed Upper limit on the total hard capacity of all volumes Can only change by installing new hardware 43
44 Data Migration XIV Functionality #4a Data Migration Features: Automatic array based data migration Online data migration from other Storage arrays No host resources consumed Writes to Source storage passed through XIV Migrate thick volumes to thin provisioned volumes Migration Speed - tuneable: 300GB/Hr to 1TB/hour New hardware - can be added to the system Outdated Hardware - Phased Out & Removed Non Disruptive Change - No downtime - No host re-configuration 44
45 Agenda The Traditional SAN-Storage Challenge Parallel GRID Storage Architecture Reliability for Enterprise Applications Performance Sizing Guidelines for SAP Sizing Considerations for virtualized XIV Backup Strategies for SAP CAPEX and OPEX Savings with XIV References / Reference Material 45
46 Cost Lower CAPEX with XIV From the beginning: No orphaned space Thin Provisioning Thick-to-Thin Migration 60% less Traditional RAID System 30% less IBM XIV System During runtime: Space efficient Snapshot Dynamic re-distribution No orphaned space Thin Provisioning Year 1 Year 2 Year 3 Year 4
47 TCO Savings with XIV Case Study International Technology Group, July 2009 Hardware cost 20% Software cost 30% Facilities 25% Administration 50% Facilities SW HW Admin 0 TCO-$ XIV-TCO-$ XIV administration is smarter!! 47
48 XIV Functionality Overview Fully Virtualized Storage Subsystem Dynamic Load Distribution Parallel Storage GRID Thin Provisioning without performance penalty Superior Snapshot Remote Mirror Data Migration XIV Included Included Included Included Included Included Included Competition Not available Not available Not available Not avail. or $$$ xxxx.xx $$$ xxxx.xx $$$ xxxx.xx $$$ 48
49 Summary: Key Properties of a Groundbreaking Solution Very easy administration Automatic performance optimization without administrative overhead Market leading auto-restoration of system redundancy No volume layout required SNAP Backup/Restore to reduce backup windows & fasten restore process Thin Provisioning to increase disk utilization 49
50 SAP databases grow at phenomenal rates Acquisition costs S/W included: Mirroring, Snapshot, Thin Provisioning, Data Migration Commodity Hardware reduces the price SAN and iscsi support included Management costs Almost no training necessary Almost no maintenance needed, e.g. Self Healing No performance bottlenecks, due to automatic Load Balancing Capacity utilization Physical capacity utilization above 95% possible Thin Provisioning for optimal Provisioning, no waste of space Space efficient Flash Copy, more than 10,000 up to 30% up to 80% up to 50% 50 Competitive Win-Back with IBM XIV in SAP installed customers
51 XIV Value Proposition How XIV supports SAP Customers Reduce TCO No Hidden costs, SW included Low costs for training and administration High capacity utilization Easy to Manage SAP Data Base growth is managed automatically, by adding additional modules No hotspots, automatic on-going workload distribution Performance out of the box Integrated Performance Monitoring and Analyses Optimal integrated Data Management Integrated Data Base backup solution through Tivoli Storage Manager Space efficient flash copy and thin provisioning reduces space requirements for SAP backup and cloning up to 80% Integrated Data Migration 51 Competitive Win-Back with IBM XIV in SAP installed customers
52 Agenda The Traditional SAN-Storage Challenge Parallel GRID Storage Architecture Reliability for Enterprise Applications Performance Sizing Guidelines for SAP Sizing Considerations for virtualized XIV Backup Strategies for SAP CAPEX and OPEX Savings with XIV References / Reference Material 52
53 CRMD 79 Published and Growing 53 Indicates Case Study on file as well. Indicates Customer Video Testimonial.
54 DB Sizing and Layout for SAP Markus Fehling Senior Specialist Storage Solutions Technical Sales enablement for ISICC
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