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Optimize Oracle Applications Performance while Lowering Costs An Agilent Case Study Presenters- Kevin Barry Kevin O’Malley OuterBay Technologies, Inc.

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Presentation on theme: "Optimize Oracle Applications Performance while Lowering Costs An Agilent Case Study Presenters- Kevin Barry Kevin O’Malley OuterBay Technologies, Inc."— Presentation transcript:

1 Optimize Oracle Applications Performance while Lowering Costs An Agilent Case Study Presenters- Kevin Barry Kevin O’Malley OuterBay Technologies, Inc.

2 OuterBay Confidential Agenda Introduction to Agilent Corporation The Data Growth Problem OuterBay ADM Suite The Agilent Solution Results & Benefits Q & A

3 OuterBay Confidential About Agilent Global technology leader in communications, electronics, life sciences and chemical analysis Revenue -$7 Billion in Revenues Employees -29,000 World Wide Locations -Headquartered in Palo Alto, CA -30 Facilities worldwide Primary businesses -Test and Measurement -Automated Test -Semiconductor Products -Life Sciences and Chemical Analysis

4 OuterBay Confidential Agilent’s Oracle E-Business Environment Oracle E-Business Suite 11i Modules: Entire ERP Suite Single global instance Consistent, real-time view across all business units Common business processes HP Superdome (64 CPUs) Go-live in July 2002 Application OLTP production Data Growth 92 GB/month OLTP instance copied ~ 26 times for test/development Growth expected to increase with additional plants coming online

5 OuterBay Confidential Agenda Introduction to Agilent The Data Growth Problem OuterBay ADM Suite The Agilent Solution Results & Benefits Q & A

6 OuterBay Confidential The Problem Performance issues in production  Strong relationship between DB size and OLTP / Batch performance Storage capacity required was explosive  Data growth was more than Oracle predicted  Total disk capacity requirements to exceed 26 TB in one year Business continuity challenges  Increase in backup and recovery times  Higher DR/HA costs

7 OuterBay Confidential Data Growth vs. Performance Application Data (GB) 1300 1200 1100 1000 900 800 700 600 500 400 Total Batch Run Time (Hrs/Month) Application Data Batch Run Time Data Growth Impact

8 OuterBay Confidential Data Growth Alternatives Ask Oracle for assistance Custom/in-house solution Archive vendor search  Services engagement  Major project – year+ to deploy  Selected approach

9 OuterBay Confidential Agilent - Key Requirements  No disruption to the business  Uncompromised end-user reporting  No change to business processes  Guaranteed data and transaction integrity  Aggressive Data Retention Policies  True 24 x 7 Operations – Zero downtime allowed  Automation  Oracle Certification

10 OuterBay Confidential Agilent Selects OuterBay Suite of proven solutions Highly automated Oracle certification Online/transaction integrity Experience Ready to Implement

11 OuterBay Confidential Key Requirements  No disruption to the business  Uncompromised end-user reporting  No change to business processes  Guaranteed data and transaction integrity  True 24 x 7 Operations – Zero downtime allowed  Policy-Based Approach  Support An Enterprise Class Runtime Environment Allowing Full Recovery

12 OuterBay Confidential Agenda Introduction to Agilent The Data Growth Problem OuterBay ADM Suite The Agilent Solution Results & Benefits Q & A

13 OuterBay Confidential Support & Projects Production Disaster Recovery Local Standby Disk Backup Reporting Production Integration Test Unit Test Development X(n) Parallel Initiatives Application Resource Monitor LiveArchiveInstance Generator Archive Developers Edition Policy & Configuration Console Encapsulated Archive Application Data Management

14 OuterBay Confidential Encapsulated Archive Production History Data Retention Policies Application Transparency Active OLTP Online Sustained growth & perf. Historical transactions Online Application dependent 6 months-2 Years 2-7 Years 7 – 25+ Years.XSD.XML Archive flat file XML Query access Open / Independent Storage Class High Cost High Availability SecondaryLeast Expensive 3 rd Party Reporting Tools Data Life Cycle Example

15 OuterBay Confidential DatabaseXtender Applications Resource Monitor Discover areas of high and low data growth Decision Support tool for data retention policies Use across all instances and database applications

16 OuterBay Confidential Data Growth Analysis Identify active vs. inactive data Build data relocation into the business process Implement based on predictable storage requirements 125 100 75 50 25 0 Space (GB) TTE Relocation Jan 2002 May 2002 Sep 2002 Jan 2003 May 2003 Sep 2003 Jan 2004 May 2004 Sep 2004 Jan 2005 May 2005 Sep 2005 Eligible Eligible Forecast Ineligible Ineligible Forecast

17 OuterBay Confidential Key Features Combined View Reporting – native reports/queries Data Growth and Process Monitoring Data Parity Support Database Reorganization Support Online Operations (users stay on the system) Concurrent Manager integration (or 3 rd party scheduling tools) Fully Recoverable/Restartable Full audit trail – repository-based Reload Support

18 OuterBay Confidential OuterBay Platform Active Repository LiveArchive Encapsulated Archive Application Resource Monitor Instance Generator Developer Edition

19 OuterBay Confidential Agenda Introduction to Agilent The Data Growth Problem OuterBay ADM Suite The Agilent Solution Results & Benefits Q & A

20 OuterBay Confidential Agilent Approach Test and Development Environments -OuterBay Instance Generator: Relationally intact subsetting -11 Modules implemented »INV, COST, WIP, AP/PO, GL, AR, Quotes, Workflow, Cash Mgmt, Order Mgmt, Cycle Count Production Environment -OuterBay LiveArchive: Online Archiving -9 Modules implemented »INV, COST, WIP, AP/PO, GL, Quotes, Workflow, Cash Mgmt, Supplier Schedules Two-tiered Solution

21 OuterBay Confidential Agilent Approach – Instance Generator Test and Development Environments Dev Training Patch Create fully functional subset databases for development, test, UAT, training, and demo Policies selected by time Policy Sets Production OLTP Copy

22 OuterBay Confidential Agilent Approach - LiveArchive Archive ModuleData Retention in Production Archiving Frequency Inventory2 Months + Current MonthMonthly Cost History2 Months + Current MonthMonthly WIP2 Months + Current MonthMonthly Supplier Schedules2 Months + Current MonthMonthly AP/Procurement2-3 Months after PO gets finally closedMonthly Cash Management6 Months + Current MonthMonthly GL12+2 Months of adjustment period, after a period is permanently closed Monthly QuoteExpired Quotes, older than 9 months will get deleted Monthly WorkflowDelete workflows older than 15 days as part of regular Oracle workflow purge Monthly Best Practices in Data Retention Policies

23 OuterBay Confidential Agenda Introduction to Agilent The Data Growth Problem OuterBay ADM Suite The Agilent Solution Results & Benefits Q & A

24 OuterBay Confidential The Results $ Savings for Storage -Subsets for Test, Dev, and Training = 30% of Production »500 GB from 1.8 TB -Current usage »Patch, Training -Planned usage »11.5.10 Upgrade testing: 10+ copies IT Process Streamlined -17% reduction in subset creation times Delivered by Instance Generator

25 OuterBay Confidential The Results Defer investments in hardware upgrades Decrease TCO for E-Business Suite Minimal user impact/end user training Expected Benefits

26 OuterBay Confidential The Results $ Savings for Storage: 2.5% of total 2005 IT budget -Number of rows archived = ~ 500 Million -500 GB in storage savings in Production -Total storage savings = 13 TB -Agilent can now defer disk spending for 1 year Related Savings -HA, Backup & Recovery Delivered by OuterBay LiveArchive

27 OuterBay Confidential The Results Data growth management  stable, predictable performance management -Take guesswork out of capacity planning -Free up resources for business initiatives -Accelerate critical business processes Unexpected Benefits

28 OuterBay Confidential Performance Benefits Total Batch Run Time (Hrs/Month) Application Data (GB) Data Growth Impact Phase I Tuning Sustained Predictable Performance LiveArchive Phase II Tuning

29 OuterBay Confidential Total Batch Run Time (Hrs/Month) Average Run time (Min) Sustained Predictable Performance Pick Selection List Generation Business Benefits Example: Shipping

30 OuterBay Confidential Total Batch Run Time (Hrs/Month) Average Run time (Min) Business Benefits Example: OM Order Import Sustained Predictable Performance

31 OuterBay Confidential Business Benefits Example: AP Total Batch Run Time (Hrs/Month) Average Run time (Min) Payables Approval Sustained Predictable Performance

32 OuterBay Confidential Agilent Approach You can NEVER START THIS TOO EARLY!!! Set the plan by largest “wins” first and get buy-off immediately Get message out that data is NOT being purged; just relocated -Users retain transparent access and combined reporting Engage key business groups early, establish as a critical business project: Finance, Audit, etc… Strong team work between IT and Business teams required Incremental rollout enabled the project team to -Refine process -Enforce accountability Lessons Learned – Implementation Project

33 OuterBay Confidential “ OuterBay Software has provided Agilent with a long-term positive business impact with an extraordinary, immediate ROI !” -Naresh Shanker, Agilent


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