Optimize Oracle Applications
Performance while Lowering Costs
An Agilent Case Study
PresentersKevin Barry
Kevin O’Malley
OuterBay Technologies, Inc.
Agenda
• Introduction to Agilent Corporation
• The Data Growth Problem
• OuterBay ADM Suite
• The Agilent Solution
• Results & Benefits
•Q &A
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
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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
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Agenda
• Introduction to Agilent
• The Data Growth Problem
• OuterBay ADM Suite
• The Agilent Solution
• Results & Benefits
•Q &A
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
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Data Growth vs. Performance
1300
Data Growth Impact
1200
1200
Application Data
1100
1100
1000
900
25,000
800
700
600
15,000
700
600
0
-1
9
04
-0
20
8
04
-0
7
-0
04
-0
6
400
5
400
04
-0
800
500
20
4
04
-0
20
3
04
-0
20
2
04
-0
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20
1
04
-0
20
2
04
-1
20
1
03
20
-1
0
03
-1
20
9
03
-0
20
8
03
-0
20
7
03
-0
20
03
20
20
03
-0
6
10,000
900
500
20
Batch Run Time
1000
20
20,000
04
30,000
20
35,000
Application Data (GB)
1300
Application Data (GB)
Total Batch Run Time (Hrs/Month)
40,000
Data Growth Alternatives
• Ask Oracle for assistance
Services engagement
• Custom/in-house solution
Major project – year+ to deploy
• Archive vendor search
Selected approach
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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
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Agilent Selects OuterBay
• Suite of proven solutions
• Highly automated
• Oracle certification
• Online/transaction integrity
• Experience
• Ready to Implement
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Agenda
• Introduction to Agilent
• The Data Growth Problem
• OuterBay ADM Suite
• The Agilent Solution
• Results & Benefits
•Q &A
OuterBay Confidential
Application Data Management
Support & Projects
Production
Integration Test
Disaster Recovery
Unit Test
Local Standby
Development
Disk Backup
Archive
Reporting
X(n)
Production
Parallel Initiatives
Application Resource Monitor
Policy & Configuration Console
LiveArchive
Encapsulated
Archive
Developers Edition
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Instance Generator
Data Life Cycle Example
Data Retention Policies
6 months-2 Years
7 – 25+ Years
2-7 Years
Application Transparency
3rd Party Reporting Tools
Encapsulated Archive
.XSD
.XML
Production
History
• 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
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Least Expensive
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
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Data Growth Analysis
TTE
125
Relocation
100
Relocation
Relocation
Relocation
Space 75
(GB) 50
25
0
Jan May Sep Jan May Sep
2002 2002 2002 2003 2003 2003
Jan May Sep
2004 2004 2004
• Identify active vs. inactive data
• Build data relocation into the business
process
• Implement based on predictable
storage requirements
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Jan May Sep
2005 2005 2005
Eligible
Eligible Forecast
Ineligible
Ineligible Forecast
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
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OuterBay Platform
LiveArchive
Encapsulated
Archive
Active
Repository
Application Resource
Monitor
Instance
Generator
Developer
Edition
OuterBay Confidential
Agenda
• Introduction to Agilent
• The Data Growth Problem
• OuterBay ADM Suite
• The Agilent Solution
• Results & Benefits
•Q &A
OuterBay Confidential
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
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Agilent Approach – Instance Generator
Test and Development Environments
Patch
• Policies selected by time
Policy Sets
Production
OLTP Copy
• Create fully functional subset
databases for development,
test, UAT, training, and demo
Training
Dev
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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
12+2 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
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Agenda
• Introduction to Agilent
• The Data Growth Problem
• OuterBay ADM Suite
• The Agilent Solution
• Results & Benefits
•Q &A
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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
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The Results
Expected Benefits
• Defer investments in hardware upgrades
• Decrease TCO for E-Business Suite
• Minimal user impact/end user training
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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
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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
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Performance Benefits
1300
1200
35,000
Data Growth
Impact
1100
30,000
1000
900
25,000
Phase II
Tuning
800
Sustained
Predictable
Performance
20,000
15,000
600
500
LiveArchive
OuterBay Confidential
0
-1
9
04
-0
20
8
04
-0
20
7
04
-0
20
6
04
-0
20
5
04
-0
20
4
04
-0
20
3
04
-0
20
2
04
-0
20
1
04
-0
20
2
04
-1
20
1
03
-1
20
03
-1
20
9
03
-0
20
8
03
-0
20
7
03
-0
20
03
-0
20
03
Phase I
Tuning
0
400
6
10,000
20
700
Application Data (GB)
Total Batch Run Time (Hrs/Month)
40,000
Business Benefits Example: Shipping
2,000
1,800
1,600
1,400
1,200
1,000
800
600
400
200
-
12
10
8
Sustained
Predictable
6
Performance
4
2
20
03
-0
4
20
03
-0
6
20
03
-0
8
20
03
-1
0
20
03
-1
2
20
04
-0
2
20
04
-0
4
20
04
-0
6
20
04
-0
8
20
04
-1
0
0
OuterBay Confidential
Average Run time (Min)
Total Batch Run Time (Hrs/Month)
Pick Selection List Generation
Business Benefits Example: OM
1,600
6
1,400
5
1,200
4
Sustained
Predictable3
Performance
1,000
800
600
2
400
1
200
0
20
03
-0
4
20
03
-0
6
20
03
-0
8
20
03
-1
0
20
03
-1
2
20
04
-0
2
20
04
-0
4
20
04
-0
6
20
04
-0
8
20
04
-1
0
-
OuterBay Confidential
Average Run time (Min)
Total Batch Run Time (Hrs/Month)
Order Import
Business Benefits Example: AP
700
10
9
8
7
Sustained
6
Predictable
5
Performance
4
3
2
1
0
600
500
400
300
200
100
20
03
-0
5
20
03
-0
7
20
03
-0
9
20
03
-1
1
20
04
-0
1
20
04
-0
3
20
04
-0
5
20
04
-0
7
20
04
-0
9
20
04
-1
1
-
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Average Run time (Min)
Total Batch Run Time (Hrs/Month)
Payables Approval
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
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• “OuterBay Software has provided Agilent
with a long-term positive business impact
with an extraordinary, immediate ROI !”
- Naresh Shanker, Agilent
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