In IBM AIX environments, there are multiple data sources and there is a abundance of performance data, but what you need is actionable information: - You need to know which servers are underutilized - You need to know which servers have resource capacity issues - You need to be able to quantify the waste to support business decisions - Anticipate business trends, cycles, and demands and avoid unpleasant surprises

1. Carlos G. Toscano, Senior Enterprise Performance Specialist
30 September 2013
Optimizing AIX
Enterprise Environments
© 2013 IBM Corporation

2. Optimizing AIX Enterprise Environments
Why optimize?
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To maintain acceptable service levels and retain customers
Maintain or ensure availability
Reduce capital expense
Reduce operating expenses
Establish a reputation for excellent and reliable service
Life is short
© 2013 IBM Corporation

3. Optimizing AIX Enterprise Environments
What are some of the issues related to optimizing a large complex
enterprise environment?
 There are thousands of servers and the only constant is change
 Underutilized servers are a source of incredible waste
 Over-utilized servers impact services delivered to the business
© 2013 IBM Corporation

4. Optimizing AIX Enterprise Environments
What else?
 There are multiple data sources and there is a abundance of performance data, but what
you need is actionable information
– You need to know which servers are underutilized
– You need to know which servers have resource capacity issues
– You need to be able to quantify the waste to support business decisions
 Anticipate business trends, cycles, and demands and avoid unpleasant surprises
Source: If applicable, describe source origin
4
© 2013 IBM Corporation

5. Optimizing AIX Enterprise Environments
How do you manage a massive, constantly changing enterprise
environment?
 Automation
– Automate performance management
– Automate detection of capacity constraints based on
anticipated growth
– Automate correction of overprovisioning (made in some
cases)
– Automate custom report generation and distribution
 Data Integration
– Integrate multiple performance data sources
– Integrate performance metrics and
business KPIs
– Overlay the environmental data
 Predictive Analysis
– Predict future service performance
.
© 2013 IBM Corporation

6. Optimizing AIX Enterprise Environments
Automate performance management
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7. Optimizing AIX Enterprise Environments
Automate detection of capacity problem
Source: If applicable, describe source origin
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© 2013 IBM Corporation

8. Optimizing AIX Enterprise Environments
Automate correction of overprovisioning
Source: If applicable, describe source origin
8
© 2013 IBM Corporation

9. Optimizing AIX Enterprise Environments
Automate custom report generation and distribution
Source: If applicable, describe source origin
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© 2013 IBM Corporation

10. Optimizing AIX Enterprise Environments
Data integration of multiple performance data sources
Source: If applicable, describe source origin
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© 2013 IBM Corporation

11. Optimizing AIX Enterprise Environments
Data integration – repurposing based on cost and usage
© 2013 IBM Corporation

12. Optimizing AIX Enterprise Environments
Predictive analysis of IT resource utilization
 Optimizes service quality and minimizes risks
Source: If applicable, describe source origin
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© 2013 IBM Corporation

13. Optimizing AIX Enterprise Environments
Predictive analysis of service delivery
Source: If applicable, describe source origin
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© 2013 IBM Corporation

14. Optimizing AIX Enterprise Environments
Summary
 Automation
– Automate performance management
– Automate detection of capacity problem
– Automate correction of overprovisioning
– Automate custom report generation and distribution
 Data Integration
– Integrate multiple performance data sources
– Integrate performance metrics and business KPIs
 Predictive Analysis
– Predict future service performance
.
•
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Source:
If applicable, describe source origin
© 2013 IBM Corporation

15. Optimizing AIX Enterprise Environments
Optimizing
AIX Enterprise
Environments
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© 2013 IBM Corporation