IBM Systems: Helping the world use less servers

Transcription

1 Agenda Server Consolidation Reasons Server Consolidation Methodology Power Systems Server Consolidation Server Consolidation Examples Demo of SCON Tool Mike Rede Field Technical Sales Specialist : Helping the world use less servers 2010 IBM Corporation 2010 IBM Corporation huston 1

2 3 IBM System p IT Challenges Customer s IT challenges Server vendors announce New Features every 6 months Faster Servers with new improved benchmarks Complex business transactions Increasing need for computing resources Varying peak workloads End of lease server refresh takes a long time ( 3 to 6 months) Takes more than a year to evaluate, certify and deploy new technology Increasing Security threats Increasing Infrastructure costs (Floor space, Power, cooling, Network and SAN) Increasing Administration costs 2010 IBM Corporation Rising Systems Management and Energy costs Rising energy cost, demand for computing and data capacity is growing unabated..it departments are beginning to get the energy bills. - IBM / Consultant studies, September 2008 Datacenters have doubled their energy use in the past five years, customers have hit the wall in terms of power in the data center and crisis in eliminating heat. - Koomey, February % of respondents think the Greenness of their IT suppliers will become much more important over the next few years. IDC Green Survey, November 2007 Gartner ranks Green IT #1 for In 2007 Green IT moved from a niche to widespread adoption we see new and revised approaches to green. IDC estimates 50 cents is spent on energy for every dollar of computer hardware. This is expected to increase by 54% to 71 cents over the next four years. 2

3 The growth of distributed servers in Data Centers A source of complexity and cost, and a savings opportunity Distributed-systems can proliferate IT costs: Cost and complexity (e.g., more physical servers, real network gear) Excessive energy usage and heating problems Inadequate power and cooling infrastructure Data silos and data synchronization Linear staffing costs Linear per processor software costs Frequent outages Islands of Compute Resources Standardized on small Unix or x86 nodes Clustered and non-clustered environments Low average hardware utilization Capacity scale-out requires provisioning of additional nodes Lots of physical servers to install/manage/maintain IBM High-End Systems offer an alternate approach Use fewer, more powerful IBM Power servers to unlock the savings in your Data Centers LESS IS MORE Focus on highly efficient use of FEWER servers 3

4 Eventually Growing into Grid Concepts vs. Large Systems with Virtualization Standardized on small Unix or x86 Servers Large Pool/Grid of clustered servers Every server has shared access to all disk Drives significant SAN switch/provisioning requirement How to handle data security/integrity across multiple applications? Each application uses subset of nodes (services) Add/remove node to service to meet capacity demands Adding new server/disk to Grid involves significant provisioning activity How to manage application files? 2 (or more) Enterprise Servers 2 (or 3) nodes per cluster Virtual machines sized to individual capacity requirements Dynamically reallocate resources to any partition Reduced provisioning requirements Higher average hardware utilization levels Reduced software licensing requirements More capacity goes to workload requirements (versus maintaining cache consistency, etc.) Server A Free capacity DB51 DB3 DB21 DB11 VIOS dedicated Server B Free capacity DB52 DB4 DB22 DB12 VIOS dedicated Many customers are going from 100 s of servers to single digits 4

5 IBM System p Virtualization reduces TCO $500,000 less. Three year TCO savings to run IBM WebSphere Application Server when you consolidate 36 Dell PowerEdge 2950 III systems with a total of 288 cores utilized at 15% into one IBM Power 750 Express 32-core system utilized at 80%. Save 77% on software maintenance, 94% of the floor space, and 91% of the energy costs. Power 750 with PowerVM has a $47,000 lower TCA than consolidating to Dell Nehalem-EX systems with VMware, and saves $232,000 on 3 year TCO. For WebSphere, IBM Power gives you the edge over Dell PowerEdge IBM Corporation 10 Power 750 Express 5

6 $461,000 less. Three year Oracle subscription & support savings to run SAP landscapes on Oracle DB when you consolidate 29 HP ProLiant DL380 G5 systems with a total of 232 cores utilized at 15% into two IBM Power 750 Express 32-core systems utilized at 80%. Save 86% of the floor space, and 88% of the energy costs. Studies also show AIX has 1/10 th the downtime of Windows. Power 750 with PowerVM has $244,860 lower Oracle support & subscription cost over three years than consolidating to 15 HP Nehalem-EP systems. For SAP on Oracle DB, IBM Power is more reliant than a pile of HP ProLiants. $484,000 less. Three year TCO savings to run Domino mail on Power 750 when you consolidate 40 HP ProLiant DL380 G5 systems with a total of 160 cores utilized at 20% into one IBM Power 750 Express 12-core systems utilized at 90%. Save 82% of software maintenance, 95% of the floor space, and 96% of the energy costs. Power 750 with PowerVM has $157,804 lower cost of acquisition than consolidating to 20 HP Nehalem-EP systems with VMware running at 40% utilization. For Lotus Domino, IBM Power simply costs less than a pile of HP ProLiants. Power 750 Express Power 750 Express

7 Deployment & Maintenance Scale-up POWER 64 cores Scale Out 16 node IBM POWER Cluster 64 cores Which is easier to: - design? - deploy? - tune? - troubleshoot? - upgrade? - manage? RAC Interconnect 1 16 Effort to Deploy and Manage Install & configure Oracle on a RAC cluster Steps to deploy Set up server 1 Install NICs two for RAC interconnect two for client network Connect to network switches Connect to SAN switches Cross connect SAN switches Install OS Define dual pathing to SAN REPEAT FOR SERVERS 2-16 Initialize cluster vote disk cluster repository Install on server 1 Cluster Software Advanced Storage Mgmt REPEAT FOR SERVERS 2-16 Install Oracle RAC Define Oracle data MAINTAIN x 16 TROUBLESHOOT x 16 Clients Scale Out 16 node IBM POWER Cluster 64 cores Switch FC s RAC Interconnect Storage Server SAN Switch FC s Storage arrays 7

8 To Decrease the Management of RAC? Effort to Deploy and Manage Install & configure Oracle on a scale-up server Best Practice Reduce the number of nodes Scale Out 4 node POWER Cluster 64 cores (4) 16 core p570 servers RAC Interconnect Steps to deploy Set up server Install NICs for client network Connect to network switch Connect to SAN switch Install OS Clients Scale-up POWER 64 cores Storage Server Employ fatter Scale up nodes Clients Switch FC s Storage Server SAN Switch FC s Storage Install Oracle Define Oracle data MAINTAIN x 1 TROUBLESHOOT x 1 Switch IBM POWER p595 FC s SAN Switch FC s Storage 8

9 IBM Training Systems Technical Conference IBM Training Systems Technical Conference Sizing Considerations for Replacement Servers Sizing Methodology Current servers Vendor, model, #cores, memory, adapters Performance rating CPU utilization: average/peak. Timing of peaks Application Growth Replacement servers Vendor model, CPU sizing Average used capacity + spare capacity for peaks Aggregate peaks (if virtualized) Performance rating of replacement server Dependency on partition type (stand-alone, LPAR, micropartition, WPAR,.) Virtualization overhead Memory Typically match current installed memory Application Updates and impact to requirements Addition of new modules (ie addition of SAP Unicode increases cpu by ~25%) Typically have insufficient information must estimate 9

10 IBM Training Systems Technical Conference Replacement Server Sizing Depends on Partition Type, IBM Training Systems Technical Conference CPU Sizing Methodology: Used Capacity Current Servers/Partitions Replacement Partitions Net SAN 1 Lin ux 2 core AIX 5.2 I/O Server I/O Adapters Net AIX 6.1 WPAR SANt Hypervisor 6 cores Linux 2.6 Linux 2.6 AIX 5.3 LAN, WAN, AIX 6.1 LPAR, micro, VMware, domain, LDOM, npar, vpar,. Replacement Current Used Capacity = Used Capacity CPU = cpu Where C= cores P= performance rating per core U= average utilization Minimum cores for replacement server C = c * ( p/p ) * ( u/u ) 10

11 IBM Training Systems Technical Conference Sizing Cores Example Micropartition Current C=8 P=1 U=15% Replacement (micro) Granularity = 0.1 core P=2 U=70% IBM Training Systems Technical Conference CPU Utilization Guidelines Install Base Best to use average utilization measured by customer during normal production Otherwise use industry averages (Gartner) X86: 15% Unix: 20% Timing of peaks workloads should be random Replacement Cores C = c * (p/p) * (u/u) C = ( 8 ) * ( ½) * (15%/70%) C = 0.86 cores (theoretical) C = 0.9 cores (rounded up for micropartition granularity) Target Utilization for Replacement Server Depends on: Partition Type Dedicated/shared Hypervisor overhead Granularity Partition type: LPAR, micro, WPAR, VMware, LDOM, npar, vpar, If stand alone server, chip granularity: Dual, quad, hex 11

12 IBM Training Systems Technical Conference IBM Training Systems Technical Conference Performance Ratings In order of preference 1. When possible, benchmark the application 2. Vendor application benchmarks SAP, NotesBench, OASB, 3. Industry benchmarks Database: TPC-C, TPC-H Application: SpecInt, SpecJBB, SpecWeb 4. Consultant estimates Ideas International: RPE/2, OLTP (aka RPE) Basis of the SCON spreadsheet SCON Demo 12

13 IBM Training Systems Technical Conference Benefits of Consolidation Why Consolidation is Better Increased Resource Utilization Increased Server Utilization Infrastructure and Operational Savings Software Licensing Savings Maintenance Savings ROI and TCO System Advantages Higher utilization due to shared headroom. More internal bandwidth for higher performance Higher quality components and More fault tolerant features Able to share memory more effectively Lower power requirements vs. numerous distributed systems Fewer Disk & Ethernet adapters/ports per VM Management Advantages Fewer physical servers to order, install, track, maintain, and retire Fewer Hypervisor instances to manage Reduced firmware patches to apply Smaller Servers Medium to High Peak to Avg. Utilization Gap 5 20% Utilization Consolidated Servers Small to Very Small Peak to Avg. Utilization Gap 60 95% Utilization Hardware Capacity Usable VM Capacity IBM Corporation 13

14 IBM Training Systems Technical Conference Consolidation Evaluation Tool 03.ibm.com/systems/migratetoibm/whyibm/campaign s/sconevaltool1.html Thank You you! New Processor Technology POWER7 IBM System Architecture New generation of servers Performance per System Enhanced Virtualization Live Partition Mobility Workload Partitions Availability Mainframe MTBF Lowest Total Cost of Ownership Reduced Risk with IBM Migration Support Best Performance, Reliability, Scalability System Dynamics offer Unmatched Flexibility Smooth Technology Roadmap for the Future 2003 IBM Corporation p July 2010 IBM Confidential 2007 IBM Corporation 2007 IBM Corporation 28 mrede@us.ibm.com 14