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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
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© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
Carlos G. Toscano, Senior Enterprise Performance Specialist
30 September 2013
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
Why optimize?
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
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© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
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
What are some of the issues related to optimizing a large complex enterprise environment?
© 2013 IBM Corporation
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
4
Source: If applicable, describe source origin
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
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
.
How do you manage a massive, constantly changing enterprise environment?
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
Automate performance management
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© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
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Automate detection of capacity problem
Source: If applicable, describe source origin
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
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Automate correction of overprovisioning
Source: If applicable, describe source origin
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
9
Automate custom report generation and distribution
Source: If applicable, describe source origin
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
10
Data integration of multiple performance data sources
Source: If applicable, describe source origin
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
Data integration – repurposing based on cost and usage
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
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Predictive analysis of IT resource utilization
Optimizes service quality and minimizes risks
Source: If applicable, describe source origin
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
13
Predictive analysis of service delivery
Source: If applicable, describe source origin
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
14
Summary
• Source: If applicable, describe source origin
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.
© 2013 IBM Corporation
Optimizing AIX Enterprise Environments
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Optimizing AIX Enterprise Environments