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
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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?
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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?
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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?
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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

10. Q&A
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