Performance Anomalies…and the Automation that Loves Them

James Urquhart, Director of Product Dell Cloud Manager

Rob Dickinson, Senior Software Engineering Manager, Foglight APM

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OODA and Automation

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OODA and Automation

Monitoring And

Observation

Analytics Process

Rules Applied to

ResultsAutomation

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Anomalies in production

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Applying Analytics to Automation

Build Time Operations(w/ human evaluation)

Operations(w/ auto evaluation)

Examples:• Code evaluation• Test results

• Performance• Usability• Stability

Examples:• Performance trends

applied to manual automation changes

Examples:• Performance trends

triggering autoscaling, autorecovery, etc

• Machine learning of scale tuning

• Machine learning of configuration tuning.

Loop Monitoring

Automation

Application/Service

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Context of Performance

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Granularity and Dimensionality of Performance

Averages Distributions

>20 types of dimensions that affect performance