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Flying Blind – Analytics for
OpenStack
Madhulima Pandey
4/16/2013
Lightning Round Talk
IT
Facilities
2
IncreasingInfrastructureComplexityISToday’sReality
Data Center 2
Public Cloud
Islands of Virtualization
Data Center 1
Private Cloud
Islands of Virtualization
Data Center 3
Private
Cloud
Public
Cloud
Islands of Virtualization
Colo Site 3
Islands of Virtualization
Private Cloud
ManagingCloudInfrastructure
• Challenges in managing cloud infrastructure
– How do you find common themes of analyzing and
predicting capacity and performance?
– How do you validate best practices? Are your practices are
actually used by others?
– How do you see trends and meaningful statistics about
your environment?
• Requires a rethink on how to make data-driven
decisions and collective intelligence to solve problem
3
Intelligence for your OpenStackand CloudDeployments
4
Continuous analysis provides continuous insight
 Unified
Visibility
 Continuous
Analysis
 Business
Agility
UnifiedVisibility
5
Performance MetricsUnique visualization for better insight Powerful dashboards
Source:
http://ken.pepple.info/openstack/2012/09/25/op
enstack-folsom-architecture/
PhysicalCloud
ContinuousAnalysis
 How many physical and virtual
devices in my cloud deployment?
 What is the VM density? Can I
increase it?
 What is my current workload for
critical resources?
 What is the spare capacity of my
cloud?
 What is my current storage usage?
 What is the performance limiting
resource?
6
BusinessAgility
 What is the cost of my critical
workloads?
 Which applications cost the most
to run?
 What is the available headroom?
Where?
 How much redundant power is
available, and where?
 What should I buy for my next
project?
7
Trending andCorrelationAnalysis
 At current growth rates,
when do I need to add new
servers?
 Will my current network
keep up with the growth in
number of instance?
 When do I need to add more
storage?
 Can I correlate host failures
with temperature?
 What is my power usage
trend?
8
Time-SeriesDatabase,AggregationandAnalysis
9
Filter, slice and
aggregate by time
Display
one or more
correlated measures
Drill, filter, slice and
aggregate by hierarchies
and properties
Time Series Meter Data
…and more
Analysis and Insights
Q&A
10

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OpenStack Summit 2013 Presentation

  • 1. Flying Blind – Analytics for OpenStack Madhulima Pandey 4/16/2013 Lightning Round Talk
  • 2. IT Facilities 2 IncreasingInfrastructureComplexityISToday’sReality Data Center 2 Public Cloud Islands of Virtualization Data Center 1 Private Cloud Islands of Virtualization Data Center 3 Private Cloud Public Cloud Islands of Virtualization Colo Site 3 Islands of Virtualization Private Cloud
  • 3. ManagingCloudInfrastructure • Challenges in managing cloud infrastructure – How do you find common themes of analyzing and predicting capacity and performance? – How do you validate best practices? Are your practices are actually used by others? – How do you see trends and meaningful statistics about your environment? • Requires a rethink on how to make data-driven decisions and collective intelligence to solve problem 3
  • 4. Intelligence for your OpenStackand CloudDeployments 4 Continuous analysis provides continuous insight  Unified Visibility  Continuous Analysis  Business Agility
  • 5. UnifiedVisibility 5 Performance MetricsUnique visualization for better insight Powerful dashboards Source: http://ken.pepple.info/openstack/2012/09/25/op enstack-folsom-architecture/ PhysicalCloud
  • 6. ContinuousAnalysis  How many physical and virtual devices in my cloud deployment?  What is the VM density? Can I increase it?  What is my current workload for critical resources?  What is the spare capacity of my cloud?  What is my current storage usage?  What is the performance limiting resource? 6
  • 7. BusinessAgility  What is the cost of my critical workloads?  Which applications cost the most to run?  What is the available headroom? Where?  How much redundant power is available, and where?  What should I buy for my next project? 7
  • 8. Trending andCorrelationAnalysis  At current growth rates, when do I need to add new servers?  Will my current network keep up with the growth in number of instance?  When do I need to add more storage?  Can I correlate host failures with temperature?  What is my power usage trend? 8
  • 9. Time-SeriesDatabase,AggregationandAnalysis 9 Filter, slice and aggregate by time Display one or more correlated measures Drill, filter, slice and aggregate by hierarchies and properties Time Series Meter Data …and more Analysis and Insights