OpenStack Summit 2013 Presentation

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OpenStack Summit 2013 Presentation

  1. 1. Flying Blind – Analytics forOpenStackMadhulima Pandey4/16/2013Lightning Round Talk
  2. 2. ITFacilities2IncreasingInfrastructureComplexityISToday’sRealityData Center 2Public CloudIslands of VirtualizationData Center 1Private CloudIslands of VirtualizationData Center 3PrivateCloudPublicCloudIslands of VirtualizationColo Site 3Islands of VirtualizationPrivate Cloud
  3. 3. ManagingCloudInfrastructure• Challenges in managing cloud infrastructure– How do you find common themes of analyzing andpredicting capacity and performance?– How do you validate best practices? Are your practices areactually used by others?– How do you see trends and meaningful statistics aboutyour environment?• Requires a rethink on how to make data-drivendecisions and collective intelligence to solve problem3
  4. 4. Intelligence for your OpenStackand CloudDeployments4Continuous analysis provides continuous insight UnifiedVisibility ContinuousAnalysis BusinessAgility
  5. 5. UnifiedVisibility5Performance MetricsUnique visualization for better insight Powerful dashboardsSource:http://ken.pepple.info/openstack/2012/09/25/openstack-folsom-architecture/PhysicalCloud
  6. 6. ContinuousAnalysis How many physical and virtualdevices in my cloud deployment? What is the VM density? Can Iincrease it? What is my current workload forcritical resources? What is the spare capacity of mycloud? What is my current storage usage? What is the performance limitingresource?6
  7. 7. BusinessAgility What is the cost of my criticalworkloads? Which applications cost the mostto run? What is the available headroom?Where? How much redundant power isavailable, and where? What should I buy for my nextproject?7
  8. 8. Trending andCorrelationAnalysis At current growth rates,when do I need to add newservers? Will my current networkkeep up with the growth innumber of instance? When do I need to add morestorage? Can I correlate host failureswith temperature? What is my power usagetrend?8
  9. 9. Time-SeriesDatabase,AggregationandAnalysis9Filter, slice andaggregate by timeDisplayone or morecorrelated measuresDrill, filter, slice andaggregate by hierarchiesand propertiesTime Series Meter Data…and moreAnalysis and Insights
  10. 10. Q&A10

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