copyright © 2014 teamquest corporation. all rights reserved. analytics: optimizing the data center...
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Copyright © 2014 TeamQuest Corporation. All rights Reserved.
Analytics: Optimizing the Data CenterContinuously operate at the intersection of Business Performance and IT Efficiency
John MiecielicaDirector Product Management
TeamQuest
Copyright © 2014 TeamQuest Corporation. All rights Reserved.
Presentation Agenda
• Analytics and Optimization challenges
• Desired state and results
• Approach:Automated & Predictive IT Analytics
© 2013 Forrester Research, Inc. Reproduction Prohibited 3
Pop quiz:What is the businessmore worried about?
Adjusting to what we know is changing in our
market
Adjusting to what wedon’t know
© 2013 Forrester Research, Inc. Reproduction Prohibited 4
True business visibilityis limited
What they know:• Sales growth• Seasonality• Customer feedback
What they don’t:• How well services are
performing• Why customer
experiences are poor• What IT knows
Copyright © 2013 TeamQuest Corporation. All rights Reserved.
Business decisions today are based on a pea
0,52cm3
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When this is available to make better business decisions
1x1012 km3
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Intelligence—not data—will be the difference between success and failure.
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
2.7 Zettabytes
1.2 yrs
$600B
© 2013 Forrester Research, Inc. Reproduction Prohibited 8
• It’s a mess
• Isn’t standardized
• Value isn’t intrinsically measurable
• Systems can’t talk to each other
• Isn’t easily presented & understood
We don’t leverage IT data because . . .
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The business values analytics…
Improve the use of data analytics to improve business decision making
19% 40%
© 2013 Forrester Research, Inc. Reproduction Prohibited 10
Healthcare Provider: Unified Analysis & Reporting
Unified data across hundreds of IT systems to improve hospital process efficiency & patient
care
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Optimization Challenges
• Traditional metrics & analysis vs. “Sabermetrics”– Resource Utilization versus Work Efficiency and Cost– Availability versus Work Accomplished– Technology Metrics versus Application, Service and Workloads
“Measure and Analyze what Matters!”
• Democratization of Information– Software Defined Data Centers: Big Data, Cloud, Virtualization,
Dynamism, etc…– Spanning ALL silos: Technology, Business, Financial, etc…
• Ruthless Drive for Efficiency– If you don’t do it, you’ll be “done” by others who do!
Copyright © 2014 TeamQuest Corporation. All rights Reserved.
Optimization Challenges
• Inclusion of legacy or non-virtualized hardware resources?
• Interoperability of multiple vendors’ converged infrastructure systems?
• Management remains a mystery– Lack of real time data– Lack of global optimization strategies
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SDDC• Asset Management• Smart Devices• Virtualized Storage• Virtualized Servers• Virtualized NW• VDI• Etc….
Customer• Call Center Operations• POS Optimization• Demand Response• Campaign Management• Credit & Collections• Billing• Etc….
Busi
ness
Ser
vice
s/Ap
plic
ation
s
Cloud, Virtualization and SDDC -> Changing Demands on Enterprise IT
Copyright © 2013 TeamQuest Corporation. All rights Reserved.
Increasing Planning and Optimization Challenges
SDDC• Asset Management• Smart Devices• Virtualized Storage• Virtualized Servers• Virtualized NW• VDI• Etc….
Customer• Call Center Operations• POS Optimization• Demand Response• Campaign Management• Credit & Collections• Billing• Etc….
Busi
ness
Ser
vice
s/Ap
plic
ation
s
Copyright © 2014 TeamQuest Corporation. All rights Reserved.
Management is WAY more than monitoring
• SDDC management will place a premium on new management models– Real time data collections– Embedded Analytics– Ability to span multiple data source domains intelligently
• Analytics will have different goals – efficiency, cost, root cause analysis
• Goals include workload-centric optimization, global cost and energy efficiency, global availability … very tough challenges for traditional management vendors
• Source: Forrester Research, September 2013
Copyright © 2014 TeamQuest Corporation. All rights Reserved.
IT doesn’t analyze business data because…
• Existing tools don’t accept it– ETL into acceptable format(s) is a lot of work, cost– Manual efforts cannot scale– Don’t adapt to dynamic, virtual everything realities
• IT has no expertise in business data– It isn’t easily presented or understood– We’ve never had the time to deal with it
• What can we really DO with it?– Where do we start?– What is the value?
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Negative consequences of the current state
• Lack of understanding of relationship of dynamic technology to services– Over and under provisioning – High Costs– Service risks– Market risks
• Too many disparate tools and processes– Expensive and in silos– Error prone impacting service delivery
• Vendor dependence and “lock in”– High costs– Reduced agility
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• Continuously financially optimized IT environment– Always know where and when performance problems will affect the
bottom line– Identify cost and performance inefficiencies in support of business
processes and eliminate them
• Continuously optimized customer experience– Understand when, where and why customer experiences fail– Resolve, predict and prevent customer dissatisfaction issues
Desired state: Continuous Optimization
“What is the health of the
infrastructure?”
“How efficiently are we using the infrastructure? What does it
cost?”
“How many of those do we have? Need?
When?”
“Changes compared to the
last reporting period?”
“What’s the capacity
forecast? What should/will it
cost?”
“What were the exceptions? Do
we Care?”
“What’s the risk
assessment?”
Desired State: Answer the Questions!
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• Significantly Reduce initial CapEx, and ongoing OpEx– Make, and keep making, more money!
• Optimize resources for systems of customer engagement
• Deploy and refresh new applications faster– E.g Retailers need to capture their share of mobile commerce as it
grows from $6 to $31b (2016)
• Respond faster to business spikes
• Prevent business impacting outages and slowdowns
Result: Continuous IT Optimization
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Method: Continuously Automated &Aligned Analytics
• Merge Business &IT Processes and Tools to Achieve Alignment– IT Technology data into Business Analytics– Business data into IT Analytics
• Ruthless Drive for Efficiency– Use Analytics– Use Automation– Adopt ever-increasing proactivity
• Continuous Optimization =– Alignment + Analytics + Proactivity
Copyright © 2014 TeamQuest Corporation. All rights Reserved.
Underlying IT
Infrastructure
Outage Manageme
nt
Customer Operations
Distribution Automation
Asset Manageme
nt
22
Services
Applications
Server/OS
Big Data Collection
Business Intelligence
Aligned Business and IT Intelligence
Enterprise IT Optimization
• Correlate business & IT performance
• Insight into how business process changes impact IT
• Understand and optimize IT costs by business unit/process and technology
• Insight into business performance across technology stack
Network
Storage
Methodology: Aligned Business and IT
Analytics
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Federated IT Analytics
• Federates existing data into purpose-designed optimization process – Technology data (e.g. server, network, storage, etc.)– Service data (catalog, metrics, tickets, etc.)– Financial data– Business data (Analytics, KPIs, plans, TXNs, etc.)
• Automates analytics across all data sources– Flexible and adaptive to dynamic SDDC environments– Raw (commodity) data -> actionable information for IT
• Single-pane-of-glass IT Optimization
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Automated, Aligned IT Analytics
• Analyze - optimize decision making
• Integrate - with the business
• Automate – drive efficiency & repeatability
Copyright © 2014 TeamQuest Corporation. All rights Reserved.
Result: Automated Financial
Optimization• Continuous Optimization
– Pre-purchase validation– Re-purposing– Consolidation
• Fully Automated, low cost
• Integrate with Risk and Service Management
• Changed new VMwareClusters from every 6 weeks to:– None for 18+ months…– Consolidated 1000’s of
VM’s (Saving $M)
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Result: Automated Financial
Optimization
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Result: Automated Financial
Optimization
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• Proactive Power Optimization– Actual versus DC Limits– Power by Application/Service– Project Savings via optimization efforts
• Data Sources– Server/Virtual Server performance– Power Consumption from DCIM power
management– Service Catalog and CMDB– Asset Database
Result: IT Power Capacity Optimization
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An Optimized Data Center…
• Uses modern, appropriate metrics– Utilizations don’t cut it anymore– Sabermetrics for IT!
• Democratizes ALL your information– Leverage both Federation and Centralization– Fully-aligned Business, Service and IT Performance
• Ruthlessly (and continuously) drives for efficiency– Performance/throughput (business)– Capacity– Cost
Copyright © 2014 TeamQuest Corporation. All rights Reserved. 30
Summary and Recommended Steps
• Inventory IT processes and ALL your tools– Data collection?– Data storage?– Capacity Analysis/Reporting?
• Inventory your business KPIs, factor your BI analytic initiatives
• Identify “low hanging fruit”– By Service?– By BU?– By Platform?– By Technology/silo?
• Get started bringing it together, don’t wait
“I know the performance
and costs of my infrastructure!”
“I know how efficient my IT environment is and can be and what it will cost”
“I know what we have, what we need, and when we need
it!”
“I know what has changed and why from
the last period!”
“I have a Capacity and
Financial Plan!”
“I understand the exceptions
and their importance!”
“I know what my risks to
performance are and will
be!”
TeamQuest: Insight Automated. Optimization
Achieved