Copyright © 2014 TeamQuest Corporation. All rights Reserved. Analytics: Optimizing the Data Center...

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


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


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


Business decisions today are based on a pea

0,52cm3


When this is available to make better business decisions

1x1012 km3


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


• 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 . . .


The business values analytics…

Improve the use of data analytics to improve business decision making

19% 40%


Healthcare Provider: Unified Analysis & Reporting

Unified data across hundreds of IT systems to improve hospital process efficiency & patient

care


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!


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


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


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


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


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?


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


• 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!


• 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


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


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


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


Automated, Aligned IT Analytics

• Analyze - optimize decision making

• Integrate - with the business

• Automate – drive efficiency & repeatability


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)


Result: Automated Financial

Optimization


• 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

Copyright © 2014 TeamQuest Corporation. All rights Reserved. 29

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

Copyright © 2014 TeamQuest Corporation. All rights Reserved. Analytics: Optimizing the Data Center...

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