Optimize Oracle Applications Performance while Lowering Costs An Agilent Case Study - PowerPoint PPT Presentation

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Optimize Oracle Applications Performance while Lowering Costs An Agilent Case Study

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Title: Optimize Oracle Applications Performance while Lowering Costs An Agilent Case Study


1
Optimize Oracle Applications Performance while
Lowering CostsAn Agilent Case Study
  • Presenters-
  • Kevin Barry
  • Kevin OMalley
  • OuterBay Technologies, Inc.

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

3
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
Agilents 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
Agenda
  • Introduction to Agilent
  • The Data Growth Problem
  • OuterBay ADM Suite
  • The Agilent Solution
  • Results Benefits
  • Q A

6
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
Data Growth vs. Performance
Application Data (GB)
8
Data Growth Alternatives
  • Ask Oracle for assistance
  • Custom/in-house solution
  • Archive vendor search
  • Services engagement
  • Major project year to deploy
  • Selected approach

9
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
Agilent Selects OuterBay
  • Suite of proven solutions
  • Highly automated
  • Oracle certification
  • Online/transaction integrity
  • Experience
  • Ready to Implement

11
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
Agenda
  • Introduction to Agilent
  • The Data Growth Problem
  • OuterBay ADM Suite
  • The Agilent Solution
  • Results Benefits
  • Q A

13
Application Data Management
Support Projects
Production
Integration Test
Unit Test
Development
Archive
X(n) Parallel Initiatives
Production
Application Resource Monitor
Policy Configuration Console
LiveArchive
Instance Generator
Developers Edition
14
Data Life Cycle Example
Data Retention Policies
6 months-2 Years
2-7 Years
7 25 Years
3rd Party Reporting Tools
Production
History
.XSD
.XML
  • Active OLTP
  • Online
  • Sustained growth perf.
  • Historical transactions
  • Online
  • Application dependent
  • Archive flat file
  • XML Query access
  • Open / Independent

Storage Class
High Cost High Availability
Secondary
Least Expensive
15
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

DatabaseXtender
16
Data Growth Analysis
  • Identify active vs. inactive data
  • Build data relocation into the business process
  • Implement based on predictable storage
    requirements

17
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 3rd party
    scheduling tools)
  • Fully Recoverable/Restartable
  • Full audit trail repository-based
  • Reload Support

18
OuterBay Platform
LiveArchive
Encapsulated Archive
Application Resource Monitor
Active Repository
Instance Generator
Developer Edition
19
Agenda
  • Introduction to Agilent
  • The Data Growth Problem
  • OuterBay ADM Suite
  • The Agilent Solution
  • Results Benefits
  • Q A

20
Agilent Approach
Two-tiered Solution
  • 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

21
Agilent Approach Instance Generator
Test and Development Environments
  • Create fully functional subset databases for
    development, test, UAT, training, and demo
  • Policies selected by time

Patch
Policy Sets
Production OLTP Copy
Training
Dev
22
Agilent Approach - LiveArchive
Best Practices in Data Retention Policies
Archive Module Data Retention in Production Archiving Frequency
Inventory 2 Months Current Month Monthly
Cost History 2 Months Current Month Monthly
WIP 2 Months Current Month Monthly
Supplier Schedules 2 Months Current Month Monthly
AP/Procurement 2-3 Months after PO gets finally closed Monthly
Cash Management 6 Months Current Month Monthly
GL 122 Months of adjustment period, after a period is permanently closed Monthly
Quote Expired Quotes, older than 9 months will get deleted Monthly
Workflow Delete workflows older than 15 days as part of regular Oracle workflow purge Monthly
23
Agenda
  • Introduction to Agilent
  • The Data Growth Problem
  • OuterBay ADM Suite
  • The Agilent Solution
  • Results Benefits
  • Q A

24
The Results
Delivered by Instance Generator
  • 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

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

26
The Results
Delivered by OuterBay LiveArchive
  • 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

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

28
Performance Benefits
Total Batch Run Time (Hrs/Month)
Data Growth Impact
Application Data (GB)
Phase II Tuning
Sustained Predictable Performance
LiveArchive
Phase I Tuning
29

Business Benefits Example Shipping
Pick Selection List Generation
Total Batch Run Time (Hrs/Month)
Average Run time (Min)
30
Business Benefits Example OM
Order Import
Total Batch Run Time (Hrs/Month)
Average Run time (Min)
31
Business Benefits Example AP
Payables Approval
Total Batch Run Time (Hrs/Month)
Average Run time (Min)
32
Agilent Approach
Lessons Learned Implementation Project
  • 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

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