PolyServe Matrix Server and the Adaptive Enterprise

Transcription

1 PolyServe Matrix Server and the Adaptive Enterprise Michael Callahan Chief Technology Officer PolyServe

2 Shared Data Clustering with Matrix Server Software for Shared Data Clustering Think TruCluster/VAXCluster-like clustering for Intel (shared SAN files) Works with HP ISS servers; HP MSA/EVA/XP storage RHAS 2.1/3.0; SUSE SLES 8; Windows 2000 and 2003 Cluster File System All servers access common apps, data on SAN at full speed (no bottleneck) Integrated high-availability Monitoring of hardware, software health Configurable failover policies Single point of administration Central console for unified admin Multi-server view Database (Oracle, SQL) Application Server PolyServe Matrix Server Shared-Data Clustering Software Linux or Windows Web Server Software Hardware 2

3 Customer Success Over 300 customers across a wide set of industries, including media, telecom, financial services, retail and the government 3

4 Matrix Server Solutions Matrix Server for Linux Focus: Unix-to-Linux migration Scalability: scale-out DB & file-based apps Manageability: shared app install, common data pool Availability: failover Solution areas Oracle9i & 10g RAC Database consolidation Scalable NAS Clusters Custom applications Matrix Server for Windows Focus: consolidation for manageability & HA Manageability: reduce OS instance count ( Blaster effect burden) HA: provide failover for all apps in cluster Solution areas SQL Server consolidation Oracle9i & 10g RAC Oracle non-rac consolidation Scalable CIFS file serving / file server consolidation Custom applications 4

5 Manageable Oracle9i & 10g RAC The Only Proven Cluster File System for RAC Improved Oracle Manageability Shared Oracle home (install/patch once) Support for ASM Eliminates the use of raw partitions Rolling upgrade capability Support for standard backup tools Improved Scalability and Performance Bigger clusters than competing products ODM for high performance async I/O Parallel ETL improves data loading performance Improved High Availability No single point of failure with Multi- Path I/O 5

6 High Performance NAS Clusters 6:1 Price Performance Advantage over NAS 5x I/O throughput compared to NAS Scale system throughput on demand Leverage economics of industry standard building blocks Fault Tolerance Better Performance at 25% the Cost of NAS Seamless failover for both NFS and CIFS No single point of failure with Multi- Path I/O Manage Servers and Storage as One A single global file system namespace A single pool of storage Central console for cluster and storage management Central backup at SAN speeds 6

7 Database Consolidation Lower Costs Eliminates active-passive pairs Increase server and storage utilization Operational Flexibility Move databases to any server in cluster - rebalancing of load without data migration Fault Tolerance Every server becomes a backup No single point of failure with Multi- Path I/O Very fast failover with no SCSI takeover Simplified Cluster Management Install/patch/configure once clusterwide Central console for cluster management Central backup at SAN speeds Support for Oracle 8, 8i, 9i, 10g, Sybase ASE, and IBM DB2 7

8 SQL Server Consolidation Save 50% on Clustered SQL Server Deployments Simplified Manageability One management console Consistent drive letters cluster-wide Back-up one central repository Easy High Availability Many-to-many fail-over All applications can afford high availability Less downtime with roll-through upgrades Operational Flexibility Rebalance application/database-to-server associations with no data moves Add capacity on-the-fly with no downtime Shift applications by failing-up to a bigger box 8

9 Windows File Server Consolidation Six Times Better Price/Performance than NAS Industry-Leading Price/Performance 5X I/O throughput compared to NAS Scale system throughput on demand Simplified Management A single global file system namespace A single pool of storage Central console for cluster and storage management Central backup at SAN speeds Low-Cost High Availability Eliminate downtime with many-to-many failover Seamless failover for CIFS 9

10 High Performance Data Sharing & Consolidation Improved Storage Management Manage single pool of storage Increased storage utilization to 75+% Simplified central backup Performance and Scalability Multiple servers access same data at SAN speed Parallel process data with full data integrity Better performance for sharing data than FTP, NFS, or CIFS High Availability No single point of failure with Multi-Path I/O Move applications from server to server 10

11 Simplified Web Content Consolidation Triple Storage Utilization for Web Servers Simplified Management All servers share same Web content Eliminate file replication and storage waste Single pool of storage to manage Simplified backup of centralized repository Low-Cost High Availability Log files highly available on shared SAN even during server outages Consolidate log files for easy postprocessing or compliance audits Simplified Publishing Point-To content publishing no copying All servers guaranteed to serve current content Many copies of content One location of shared data 11

12 HP/PolyServe Success Story: Major Retail Bank Example of High Performance Data Sharing & Consolidation Solution Deployment Goals Move financial transaction logging app from Sun to Linux Achieve stateless computing model Results Custom Java app consolidates transaction log in shared file system Achieved zero downtime with ~30M transactions/day Deployed at three production sites SOLUTION 24 HP ProLiant BL20 blades (growth to 96 blades per site) PolyServe Matrix Server SuSE Linux Enterprise Server Custom Middleware Application McData Director-Class SAN Fabric 3 HP EVA 3000 Storage Arrays 12

13 Enabling the Adaptive Enterprise Tactical step towards utility computing Rip & Replace industrystandard blades Move to stateless computing Robust platform for missioncritical computing All active Pervasive high-availability Scale-out for IT Consolidation Single point of management for server and storage resources Companies can do this today 13

14 HP/PolyServe Success Story: Open Solutions SOLUTION 2 clusters of 3 nodes each Example of Oracle9i RAC Manageability solution Deployment Goals Deliver hosted financial processing and transaction services to 13 major financial institutions clients (at present) Deliver 24x7 uptime Improve performance to support increasing demand and clients Results PolyServe solution cost 20% the hardware and maintenance of UNIX alternatives No downtime since production PolyServe Matrix Server Oracle9i RAC 2 HP BL20 blade server chassis HP EVA 5000 SAN array with 4 TB storage 14

15 HP/PolyServe Success Story: Datavantage Example of Oracle9i RAC Manageability Solution Deployment Goals Migrate transaction based application from UNIX to Linux infrastructure. Deliver 24x7 high availability Support on demand scalability due projected transaction volume increase of % yearover-year Results Saved over $750,000 compared to UNIX solution Increased performance by 300% Delivered 24x7 availability Implemented site to site disaster recovery QUOTES The drastically reduced server costs and easy management of the PolyServe Matrix Server solution, alone, could have justified this deployment. But knowing we have a highly available, scalable platform and increased performance threefold that sealed the deal. - Thomas J. Colarik Vice President, Integrated Retail Solutions I feel like we got something for nothing. With PolyServe Matrix Server, we were able to triple our performance, reduce our costs by three-fourths, while greatly improving high availability and system management. That doesn t happen very often in IT! - Ian Amit Stored Value Project Manager 15

16 HP/PolyServe Success Story: Classified Ventures Joint Venture of Belo Corp., Gannett, Knight Ridder, The McClatchy Company, Tribune Company & The Washington Post Company Example of Oracle9i RAC Manageability solution Deployment Goals Deploy a robust platform, able to support mission-critical service levels, including e- commerce Deliver a pay as you grow architecture that can support doubling of traffic every year Migrate from a UNIX platform to Linux clusters Simplify database administration and management SOLUTION 2 clusters of 4-way HP Proliant DL580 Servers (1 3-node cluster and 1 2- node cluster) Oracle9i RAC PolyServe Matrix Server Red Hat Enterprise Linux Fibre Channel SAN Support mission-critical service levels Saved $1.75M in capital and support costs over a three-year period Deployed robust and stable environment to support increased functionality and SLAs Achieved highly available and scalable system 16

17 Summary PolyServe Matrix Server enables UNIX replacement and infrastructure consolidation projects PolyServe & HP deliver a compelling, differentiated solution that meets the needs of CIOs seeking to cut costs and deliver high levels of service 17

18 PolyServe and HP Resale Agreement HP resells all PolyServe software products and services Bilateral Support Agreement with HP Services Integrated call management for PolyServe products on HP systems Joint Solution Development IT Consolidation Oracle Scalable NAS Clusters 18

19 Appendix

20 Better than the Status Quo: Shared Data Without a Cluster File System Data Access: Every server must have its own copy of data Manageability / Provisioning: Every server must have its own copy of application binaries, and their updates Availability: Simple failover - Clustering at the price of poor capacity utilization With a Cluster File System Data Access: All servers on a SAN concurrently access the same data at high speeds with high integrity Provisioning: All servers can share the same copy of application binaries, and their updates Availability: More granular increments of stand-by capacity, rolling software upgrades, non-disruptive hardware upgrades 20

21 Four Types of Cost Savings with Unix Migration using PolyServe Matrix Server Lower Server Costs Cost effective Intel servers Lower Lifecycle Costs No need to pay hardware maintenance No forklift upgrades just add servers when you need them Lower cost of availability: 20% versus 100% on Unix Better Utilization of Assets Move servers to where they are needed Rebalance capacity at any time No stranded capacity or over-provisioning Operational Efficiency All the benefits of big iron server consolidation One set of file systems to update, manage, and backup 21

22 Stateless Computing Allows point-to provisioning of applications and databases Install once and run anywhere e.g., Single shared Oracle home Application personality of a blade adjusted on the fly Analogous to UNIX partitioning applied to Intel-based clusters Boot from the SAN Allows the OS personality to be flexible Allows for genuinely stateless servers or blades If a blade has a problem, just rip and replace New blade boots from SAN and mounts file system/application through point-to provisioning No time consuming configuration and loading of OS and application images Server Server Server Oracle9i RAC Server Server Server Application Server Server Server Server Server Server Server OS Boot Images Server Server Scalable NFS Cluster Server Server Server Server Server Server Server Server Web Server Storage Fabric Server Server Server Dev Server Server Server Server Server Server Server Server Server Shared Data in CFS: PolyServe File System 22

23 Matrix Server - Proven and Mature Technology many organizations are examining Linux-based application grids, such as those built using Oracle9i RAC... and learning that virtual processing and storage software, such as that offered by PolyServe, is a central component of these configurations PolyServe s Flexible Database Cluster proof point is a milestone in the evolution of Linux the test indicates that Linux will soon be running more critical workloads and Linux being able to handle workloads that only UNIX or mainframes could handle before. Dan Kusnetzky, VP, Systems Software Research, IDC (as quoted on OracleSearch.com) 23

24 The Flexible Database Cluster Proof Point 16 Server, Multiple Database Demonstration 16 Dual-processor Intel Servers Two FibreChannel Storage Arrays configured with a total of 206 disk drives fully striped and mirrored at the storage controller level Oracle9i RAC PolyServe Matrix Server 2.2 SuSE Linux Enterprise Server 8 (SLES8) Mixed Workload 3 databases: PROD (OLTP), DSS (OLAP), DEV (inserts) Demonstration Scalability of a single database with many users Rapid redeployment after server failure Dynamic rebalancing of multiple workloads across cluster 24

25 The Flexible Database Cluster At a Glance 16 2-processor Intel-based servers Two 16-port FC SAN Switches Server configuration Dual Intel 2.4GHz Xeon processors with 533MHz front-side bus speed 2 GB of DDR memory One hot-swap 18-GB HDD root drive Integrated dual Gigabit Ethernet for high-speed redundant network connectivity Oracle s interconnect Two additional Intel Pro1000 XT NICs 25

26 The Tens World s Largest Oracle9i RAC/Linux Benchmark 10 node, dual-processor Intel server cluster 10TB transactional database 20TB storage 10,000 concurrent users OLTP (160M users in db) PolyServe Matrix Server CFS Oracle Managed Files (OMF), single Oracle Home 42 billion rows of data Verified by IDC 26

27 Feature Comparison: Matrix Server and OCFS Feature Matrix Server OCFS Support for Shared Oracle Home Supported Node Count Support for Oracle table space in CFS Support for Direct I/O Support for Oracle Disk Manager (ODM) Clusterwide I/O statistics Support for multipath I/O Consistent cluster-wide device naming & auto-discovery Yes 16+ Yes Built-in Yes Yes Yes Yes No? Yes Dependent on OS No No No No 27

28 Feature Comparison: Matrix Server and OCFS Feature Support for multiple applications (General Purpose) Support for Oracle Managed Files Support for External Table Access Support for Parallel SQL*Loader Fencing method OS Support Provider Fortune 1000 Reference Customers Integrated HA capabilities Matrix Server Yes Yes All nodes All nodes Fabric-based HP, SuSE, Red Hat Yes Yes OCFS No Yes Single node Single node STOMITH Oracle??? Sort of 28

29 Co-produced by: