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Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks.

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Presentation on theme: "Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks."— Presentation transcript:

1 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Staying Highly Available using SAS® Grid Manager: The Performance Management Application at Commerzbank AG Thomas Braun and Miriam Schipper, Commerzbank AG, Frankfurt, Germany Cheryl Doninger, SAS Institute Inc., Cary, NC Jochen Kirsten, SAS Institute Inc., Heidelberg, Germany

2 PC-RB Business Management and Vertrieb Seattle April 2010 Staying Highly Available using SAS® Grid Manager The Performance Management Application at Commerzbank AG Seattle, April 13, 2010

3 3PC-RB Business Management and Vertrieb Seattle April 2010 Agenda 10PageCommerzbanks Performance Manager as solution3. Page Integrated sales performance management required Commerzbank AG – key facts

4 4PC-RB Business Management and Vertrieb Seattle April 2010 Milestones of corporate history 1870: Commerz- and Disconto-Bank founded in Hamburg 1971: Transformation of New York representative office into a branch – being the first German bank to do so 1990: Opening of the first branch in east Germany following the reunification 1995: comdirect bank AG - Germanys leading online broker - established 2003: Increase of stake in BRE Bank, Poland, to more than 70 % 2004: Acquisition of the branch network of SchmidtBank (70 branches, 29 self service centres) 2005: Acquisition of Eurohypo making Commerzbank Germanys second largest bank 2008: No. 1 in Affluent Customers, market share approx. 15% (source: Source: FMDS 2008, TSN Infratest) 2009: Acquisition of Dresdner Bank – integration is well on track Commerzbank headquarters in Frankfurt

5 5PC-RB Business Management and Vertrieb Seattle April 2010 Integration well on track Joint management structure Stable governance at Head Office Joint marketing activities Yellow gradually integrated First joint products Tangible integration for customers Joint customer advisory council Customers have a strong voice Joint employee events Cultural interaction Legal merger Merger on May 11, 2009 Committee negotiations concluded Works Council agreement reached Allianz Banking spun off Allianz Bank independent since June Call Centers merged Commerz Direktservice GmbH Consequent Divestments First EU requirements met Head offices merged Employees in key functions Branches merged from 2009 First joint branches

6 6PC-RB Business Management and Vertrieb Seattle April 2010 Commerzbanks Strategic Position Profitability Drivers Strategic Goals Leading retail bank in Germany with 11 million private customers: -Comprehensive nationwide branch network of 1,200 branches for Commerzbank and Dresdner Bank altogether -No. 1 Retail Bank -No. 1 Online Broker -No. 1 Private Wealth Manager -No. 3 in Retail Credit Sustainable profit generation and value added for investors by means of synergy effects: -Optimized branch network -Stable revenue basis: focus on client base & high-end product mix as well as benefit from strong sales partnership with Allianz Group -Further reduced cost base - lean headquarter organization and efficient back office processes -Risk-return-orientation in loan business / credit portfolio management Successful integration of Dresdner Bank to create the No. 1 bank for sophisticated private customers Thereby above-average participation in long-term growth trends (e.g. demographics, development of savings ratio) Private Customers

7 7PC-RB Business Management and Vertrieb Seattle April 2010 Agenda 10PageCommerzbanks Performance Manager as solution3. Page Integrated sales performance management required Commerzbank AG – key facts

8 8PC-RB Business Management and Vertrieb Seattle April 2010 Branch network & customer management model Branch network Commerzbank AG in Germany as of 2010/01/01 Private- & Business Customers 1,695 Locations 1) ,504 regional branches branches 2) main branches Provision of identical sales performance information at all levels Depiction of different branch types including Branch of the Future, Branch of the Future Plus and b&p advisory centers Integration of Dresdner Bank branches in new distribution channels Depiction of separate customer market segments Consideration of different relationship management models (generalists & specialists) Allocation of users based on special superior & agent-rules Dynamic accommodation of changes to branch network – data reorganisation Complexity added through need for: 1) Dresdner Bank branches incl. 2) advisory centres incl.

9 9PC-RB Business Management and Vertrieb Seattle April 2010 Integrated performance management of complete product offering Complete and uniform depiction of all sales management relevant information Depiction of the strategic product groupings -Wealth management -Insurance -Investments -Credit & loan products -Payment instruments (incl. current accounts) High flexibility allowing inclusion of new products Depiction of both new- and existing business Availability of revenue-, volume- und profitability information High breath and depth of available information with simultaneous focus on Key Performance Indicators Requirements Goal

10 10PC-RB Business Management and Vertrieb Seattle April 2010 Immediate translation of information into performance management Availability Daily information: following day 8am Weekly information: following Monday 8am Monthly information: 2 working days after provision of raw data Heterogeneous addressees Differentiated Performance Management focus Complex rights management -Functions -Level of Information Processing Performance Users: soon >10,000 Peak processing periods Soon 4 terabytes SAN storage Read- and write capabilities 30,000 individual queries processed every Monday Intuitive usability Supportive analysis process Depiction management- process Usability

11 11PC-RB Business Management and Vertrieb Seattle April 2010 Agenda 10PageCommerzbanks Performance Manager as solution3. Page Integrated sales performance management required Commerzbank AG – key facts

12 12PC-RB Business Management and Vertrieb Seattle April 2010 Third stage of extension prepares for integration of Dresdner Bank / 2010 Rollout of Performance Manger as application for integrated sales performance management Integrated presentation of new and existing business Analysis of consultant type, region, consumer segment and ratios of customers to full-time staff possible Processing time: 60 hours 1) SAS Business Intelligence Award 2007 Extension of existing published KPIs and creation of new ones Implementation of daily investments sales report Shift of Servers operating system from Windows to UNIX ® ; smooth transition due to SAS platform independence Proof of Scalability: Implementation of Unix more than doubles performance Change to ZFS file system (zone concept) Consolidation of application server, aggregation server and SPD server into one SUN server unit Reduction of processing time to 20 hours 1) New requirements with integration of Dresdner Bank: -Maintain same online performance despite twice as many users -Keep processing time the same despite twice as much data Build-up of data history: Flexibility of SAS data model allows processing of Dresdner Bank data Innovative and scalable Architecture: -Change to QFS file system, which allows independent data access from multiple servers -Independent process optimization and control by QFS -Load balancing through SAS® Grid Manager and BIG IP -Parallelization of processing Further reduction of processing time to 7 hours 1) Processing time simulated on current data volume

13 13PC-RB Business Management and Vertrieb Seattle April 2010 Reporting in Performance Manager Standard Reporting Emphasis Advanced Analysis Options Daily Sales Support Weekly Activities Monthly Revenues Sales support - Investments High-level reports -Sales performance (weekly) -Activities -Appointments Detail Reports -Product details & drivers Ranking -Overview branch network High-level reports -Sales performance (monthly) -Asset-levels & customer numbers -Revenue Detail Reports -Product details & drivers Ranking -Overview branch network Basic reports -High breadth and depth -Time series analysis Activity managementSales performance management Revenue management Management- commentary Deal overview -Itemization of weekly sales performance for consultants

14 14PC-RB Business Management and Vertrieb Seattle April 2010 Overview of the new SAS-platform Architectural principles Asynchronous mirrored design in two locations –Disaster management –Guaranteed availability Layered model with explicit separation of functions –Efficient maintenance –Simple expansion and upgrading Zone concept –In event of failure automatic switch to another function –Maintenance on live system possible QFS –Regulates server access to data –Multiple servers can operate at the same time in the database SAS® Grid Manager with 4 SPD Servers –Optimizes parallel processing –Improved I/O performance

15 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Grid Client SAS ® Metadata Server SAS ® Management Console Grid Manager and Schedule Manager SAS ® Management Console Grid Manager and Schedule Manager SAS Program Grid Control Server Grid Control Server Base SAS SAS CONNECT ® SAS Workspace Server SAS Grid Server SAS Data Step Batch Server SAS SPD Server Base SAS SAS CONNECT ® SAS Workspace Server SAS Grid Server SAS Data Step Batch Server SAS SPD Server Platform Process Mgr TM Platform LSF Platform TM Grid Management Service Platform TM Grid Management Service Grid Node 1 Base SAS SAS CONNECT ® SAS Grid Server SAS Data Step Batch Server SAS SPD Server Base SAS SAS CONNECT ® SAS Grid Server SAS Data Step Batch Server SAS SPD Server Platform LSF Grid Node n Base SAS SAS CONNECT ® SAS Grid Server SAS Data Step Batch Server SAS SPD Server Base SAS SAS CONNECT ® SAS Grid Server SAS Data Step Batch Server SAS SPD Server Platform LSF SAS® Data Integration Studio SAS® Enterprise Miner SAS® Enterprise Guide Other SAS Clients Central File Server for: Job Deployment Directories Source and Target Data SAS Executables Platform TM LSF SAS Grid Computing Architecture

16 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Candidates for High Availability SAS Metadata Server SAS Object Spawner SAS OLAP Server SAS/Share Server Platform Process Manager Platform Grid Management Service Web application tier components Any other critical services including 3 rd party (JBOSS)

17 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Controlling Grid Resources With Queues LSF queue: a grid-wide holding place for jobs Implementation of job scheduling/control policies Various policies can be defined on queues: priority and preemption job slots and slot pools dispatch and run windows hosts and host groups users and user groups

18 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. PROC SCAPROC; RECORD record.txt GRID GridCount.txt ; Run; SAS Job STEP 1 STEP 2 STEP 3 STEP 4 SAS Job Instrumented for Execution on the grid PC 1 STEP 1 PC 2 STEP 2 STEP 4 PC 3 STEP 3 Grid-Enabling Legacy SAS Code Using the SAS Code Analyzer

19 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Grid-Enabling Legacy SAS Code Wrapping the legacy source code using SCAPROC proc scaproc; record "c:\temp\comments_out.txt" /* Code Analyzer comments */ grid "c:\temp\grid_out.txt" /* Grid exploiting code */ resource "SASApp"; /* SAS server*/ run; proc summary data=wk_data.a; var x; output out=new1 mean=mx; run; proc summary data=wk_data.a; var y; output out=new2 mean=my; run; proc scaproc; write; run; /* Closes the results files */

20 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Grid-Enabling Legacy SAS Code Initializing the grid infrastructure and signon /* */ /* There are 2 tasks in this job. */ /* 2 of these tasks can be RSUBMITed. */ /* These 2 tasks used 15 units of time. */ /* The longest task took 15 units of time, 100% of total time. */ /* */ %let SCAGRID_SESSIONS=2; /* */ /* Enable grid service */ /* */ %let rc=%sysfunc(grdsvc_enable(_all_, resource=SASApp)); /* */ /* This macro starts up the connect sessions */ /* */ %macro scagrid_sessions(count); %do i = 1 %to &count; signon sess&i connectwait=no; %put Session started on grid node %sysfunc(grdsvc_getname(sess&i)); %end; %mend scagrid_sessions; /* */ /* Start up our connect sessions. */ /* */ %scagrid_sessions(&SCAGRID_SESSIONS);

21 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Grid-Enabling Legacy SAS Code Executing the tasks /* */ /* TASK 1 run in rsubmit */ /* */ /* I/O Activity */ /* */ /* DATASET OUTPUT SEQ created in task 1 WORK.NEW1.DATA */ /* */ /* Symbol activity */ /* */ /* SYMBOL GET task: 0 used by subsequent task:no Name:SYS_IOUSEEE */ /* */ /* ELAPSED 0 */ /* */ /* Get an available session with the scagrid_gs function */ /* */ proc scaproc; getsession 1 "sess"; run; %put sess=&sess; /* */ /* rsubmit for task 1 */ /* */ rsubmit &sess sysrputsync=yes cmacvar=scagrid_task_1; proc summary data=wk_data.a; var x; output out=new1 mean=mx; run; endrsubmit;

22 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Grid-Enabling Legacy SAS Code Signing off /* */ /* This macro issues waitfors and signoffs for our sessions. */ /* */ %macro scagrid_waitfors(count); %do i = 1 %to &count; waitfor sess&i; signoff sess&i; %end; %mend scagrid_waitfors; /* */ /* Wait for and sign off all sessions. */ /* */ %scagrid_waitfors(&SCAGRID_SESSIONS); /* */ /* Termination for our SCAGRID functions. */ /* */ proc scaproc; shutdown; run; /* */ /* All done. */ /* */

23 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. SAS Command-Line Grid Submission Utility Standalone utility User can submit and forget (no need to remain connected to process job) User can view job status and output while job is running Can kill submitted jobs Allows for SAS checkpoint/restart capability Uses SAS Grid Manager metadata for centralized control Requires shared file system between client and grid

24 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. SAS stores Job information Last execution of DATA and PROC steps Checkpoint catalog When a Job is terminates prematurely Start in Restart mode SAS reads checkpoint catalog Starts where the last successful step ended WORK tables can be stored and reused Globale statements and macros will be reexecuted DATA step PROC step DATA step PROC step DATA step Xxxxxxxxx xxxxxxxxx Checkpoint Library SAS Checkpoint/Restart Capability

25 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Data Storage is Key Shared file system Throughput across the grid MB/sec/core (~1.8 – 3GB/sec with 64 cores) Scalable Handle increasing load gracefully Readily enlargeable as data volumes grow Locality of data input/output files temporary files external data access

26 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. SPD Server Grid Deployment Multiple SMP hosts, one name and data server each Shared access to data on SAN +Client access can scale across multiple hosts +Shared read access to same tables +Shared write access to disparate tables +Highly available and transparent to client +Grid routes data acess requests transparently to the least used node -More complex to deploy

27 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. SPD Server Grid Deployment What can be shared Server executables (binaries) Benefit grows as number of grid nodes grows Single location for version/patch mgmt Data domains User database Data domains definition file Server parameter definition file (unless different parms are required per node) What cannot be shared Log and audit files Startup scripts

28 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Clustered Table Jan 2003 New Months Feb 2003 Apr 2003 Jul 2003 Aug 2003 Mar 2003 May 2003 Jun 2003 Sep 2003 Oct 2003 Dec 2003 Nov 2003 Jan 2004 Feb 2004 Apr 2004 Jul 2004 Aug 2004 Mar 2004 May 2004 Jun 2004 Sep 2004 Oct 2004 Dec 2004 Nov 2004 Jan 2005 Feb 2005 Mar 2005 Apr 2005 May 2005 Jun 2005 SPD Server Cluster Table Parallel On-the-Side Loading ETL1 ETL2 ETL3 ETL4 ETL5 ETL6

29 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Original Clustered Table Jan 2003 Feb 2003 Apr 2003 Jul 2003 Aug 2003 Mar 2003 May 2003 Jun 2003 Sep 2003 Oct 2003 Dec 2003 Nov 2003 Jan 2004 Feb 2004 Apr 2004 Jul 2004 Aug 2004 Mar 2004 May 2004 Jun 2004 Sep 2004 Oct 2004 Dec 2004 Nov 2004 New Months Jan 2005 Feb 2005 Mar 2005 Snap-in Apr 2005 May 2005 Jun 2005 SPD Server Cluster Table Snap in New Data in Seconds

30 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Cluster Table Loading Scalability

31 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Cluster_Year Cluster Table Reading Table_Q1 Jan... Mar Jan... Mar Jan... Mar Table_Q4 Oct... Dec Oct... Dec Oct... Dec Table_Q2 Apr... Jun Apr... Jun Apr... Jun Table_Q3 Jul... Sep Jul... Sep Jul... Sep x x x select... where date in(Apr, May, Jun); …

32 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. As a Result... Number of member tables hit by query Run time Dynamic cluster table Regular partitioned table

33 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Materialized Views Technically a temporary table Materializes at view creation time Speeds up view access drastically Re-computes on next access when underlying data changes Best for multi-user queries with N-way joins Solid state disk placement being researched

34 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Data Compression At libname assignment or data set level (COMPRESS=YES) Run-length encoding (RLE) algorithm Compression rate data-dependent (best for character variables) Disk footprint and I/O bandwidth Needs additional CPU-cycles both ways

35 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. SAS Grid Manager SAS SPD Server (grid deployment ) Challenges SolutionResults Customer Success Commerzbank AG - Doubling of data volume due to merger - Same or better execution times - Terabytes of data s of users s queries/reports - Separate IT centers for disaster recovery - SAS/Connect (MP Connect) - SAS Batch jobs (ETL) - SAS SPD Server (standard deployment) Commodity hardware high performance scalable, resilient, dynamic management of grid infrastructure SAS/Grid 4 Opteron-based grid nodes (4 quad-core CPUs each) 4 TB Disk Storage in SAN (mirrored at remote IT center)

36 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. SAS Grid Manager Challenges SolutionResults Customer Success Financial Industry Saturated SAS environment had to be addressed SMP Server 36 Dual Core CPUs 144 GB RAM $2.4 Million Commodity hardware high performance scalable, resilient SAS/Grid 36 Dual Core CPUs 144 GB RAM 7 TB SAS Work Disk Storage Infiniband Connectivity $212,000

37 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. SAS Grid Manager SAS SPD Server Challenges SolutionResults Customer Success Banking Industry High performance processing at the data layer at the compute layer Scoring Jobs 10% of data in 8 hours Scoring Jobs 100% of data in 2 hours and 30 minutes

38 Copyright © 2010, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Jochen Kirsten SAS Institute Inc. Heidelberg, Germany


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