CA Capacity Management: End-to-end Capacity Analysis to Cost Optimize & Right-Size Your IT Environment

CA Capacity Management
End-to-end Capacity Analysis to Cost Optimize & Right-Size Your IT Environment

2 © 2014 CA. ALL RIGHTS RESERVED.
Our Application Centric Economy
The Need for Capacity Management
The Value of CA Capacity Management
Capacity Management Use Cases
The Hot Points
1
2
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4

APPLICATION ECONOMY
THIS IS THE AGE OF THE
USERS
AND IT’S ALL ABOUT THE

Did You Know?
10%
Is the average server
utilization rate
Gartner
1/3
Of VMs are unutilized in
a typical data center
CA Technologies
sponsored survey
5-10X
More planning time is
required without capacity
management tools
Gartner
60%
Increased server
utilization rates can be
realized with CA
CA Technologies
sponsored survey

#1
Capacity Management
is a top priority for IT
decision makers in
2014
Source: Obstacles and Priorities on the Journey to the Software-
Defined Data Center, EMA, January 2014
“Over the next five years, most
organizations will see a significant
increase in hardware (storage, servers,
networks) capacity…Capacity planning
based upon rigorous analysis of historical
data with accurate projections of future
growth should be implemented.”
Source: Eight Critical Forces That Will Shape Enterprise Data Center Strategies for
the Next Five Years – Gartner November 2013

John McNeil Studio
How do I…
Increase server
utilization?
Predict future
capacity needs across
my data centers?
Select & validate which
apps & services to move
to the cloud?
Avoid over-provisioning
resources as an expensive
insurance policy driving
higher costs?
Determine optimal
computing resources for
app releases or upgrades?

Capacity Management: A Balancing Act
RISK
TCO
Performance/Availability
Balancing performance, cost &
risk
Without capacity insight, IT cannot predict
capacity needed to meet workload demands
leading to:
• Under- or over-provisioned environments
• Performance degradations
• Increased risk
• Wasted resources
• Increased costs
Performance
Availability
RISK
Cost

Business Value of CA Capacity Management
IMPROVE
Data Center Efficiencies
Maximize performance
of existing infrastructure
to reduce the cost and
need for additional IT
resources
IMPROVE
Capacity Planning Process
Improve productivity with
accurate capacity
forecasts and a enterprise
view of utilization.
IMPROVE
Migrations, Consolidations,
Deployments
Predict cost v. performance
scenarios for consolidation,
virtualization, HW
upgrades & application
rollouts
Enabling IT to make informed business decisions to predictably, efficiently, and dependably deliver successful business outcomes

What You NEED From A Capacity Management Solution
MAINFRAME
TO
CLOUD
SCALE
IS
TRUST
BUSINESS
SERVICE
INTELLIGENCE
AGENT-LESS
PREDICTIVE
RELIABILITY

The Application Economy Runs On CA Capacity Management
24+
Months in advance predictive capacity plans
Large US Bank
2000
Unused applications eliminated saving millions
Large Telecommunications Company
$2.5M
HW savings with first project alone
Large Food & Beverage Distributor
50%
Reduction in HW costs
Large Financial Firm
40,000+
Servers Under Management
World’s Largest Retailer
$250M
Saved by deferring new DC build out
Large Oil & Gas Company

in depth

Increase Efficiency, Assure Delivery and Reduce Costs with Confidence
DECISION SUPPORT FOR IT INVESTMENTS
Model growth
Assess capacity efficiency
across IT
Identify utilization impact
to business services
PREDICTIVEANALYTICS
Anticipate potential issues before they impact the
customer experience
Strategic Business
Value

How It Works
CA Capacity Management Provides Prescriptive Answers
Performance Data
CMDB/CMS Config Data
Business Growth Plans
Plan for
Success
Assessment
of Efficiency
Best
Actions
CA
Capacity
Management
CA
Capacity
Management
• Cost Reductions
• Test to production
• Seasonal Peaks
• Hardware refresh
• Virtualization/Cloud initiatives
• M&A
• Datacenter transformation
• ITIL adoption
• Service Delivery

CA Capacity Management is Designed to Improve Data
Center Efficiencies
Improve resource utilization and reduce costs
 Increase Utilization of Existing Hardware
— Identify areas for consolidation and cost savings
— Cost vs. Performance scenarios for best need & value
 Optimize Virtual Environments
— Automatic placement of VMs
— Distribution of workloads to VMs and hosts
— Elimination of VM Sprawl
 Predictive planning and performance of platform migrations
— P2V, V2P, V2V, V2C, C2C
 Reduces CapEx & OpEx
— Hardware, software, power, space, cooling, etc.
 Insight for internal/external cloud initiatives and advanced
virtualization initiatives

Improve Data Center Efficiencies
Customer example: World’s Largest Retailer
Problem
Wasting 2 FTE/month
collecting data
Out of data center
space
Solution
Automate capacity
analysis process
Identify wasted resources
Balance data center
resources
Benefit
Deferred new $140M data
center
Increased productivity by
eliminating 900+ hours of
manual data collection
$250M/year OpEx savings

CA Capacity Management is Designed to Improve the
Capacity Planning Process
Eliminate manual, error-prone efforts & improve productivity
 Deliver IT Transparency to applicable stakeholders
— Predict and communicate the effects of business demand on IT resources
— Extend IT resource planning horizons
 Manage Capacity Planning
— Improve productivity
— Reduce manual, error-prone efforts
— Gain insight into business service capacity allocations
— Capacity reporting for all business levels
— Plan IT resource demands
— Effectively plan to support increased demand
 Manage Risk
— Confidently and efficiently bring new services on-line
— Account for seasonality in workloads
— Effectively plan for Disaster Recovery

Improve Capacity Planning Processes
Customer example: Large US Bank
Problem
No insight into the
capacity performance
of infrastructure
supporting critical
business services
No confidence from
the business in IT
capacity planning
Solution
Enterprise scalable capacity
analysis
Single repository for capacity
planning
Adopt formal capacity
planning methodology
Benefit
Insight into optimal
resource utilization
Millions in cost avoidance
for new HW/SW
purchases
IT/Business aligned – “IT
now has a seat at the table”

CA Capacity Management is Designed to Improve Migration
and Consolidation Initiatives
Predict risk, cost, performance & return
 Virtualization
— Predict how workloads will effect performance of IT resources consumed
— Provide automatic placement of workloads to VMs and clusters for business
continuity
 Data Center Consolidation
— Understand what resources are consumed by lines of business and how they
are provisioned
— Identify areas for consolidation while maintaining SLAs
 Hardware Upgrades
— Predict the performance of various hosting or hardware options for the
application portfolio managers / lines of business.
 New Application Rollouts
— Determine current and projected utilization of existing infrastructure
including CPUs, memory, disk and other metrics when new applications are
deployed

Improve Migration and Consolidation Initiatives
Customer example: Large US Telecommunications Company
Problem
Growth & acquisition
resulted in a complex
infrastructure of 2000 VMs
and 3400 applications.
Cannot accurately plan for
future IT services demand.
Increase demand expected
for iPhone launch
Solution
Identify consolidation
opportunities
Forecast changes required
to remediate bottlenecks
Ensuring adequate capacity
for future business needs
Benefit
Supported successful
iPhone launch
$20M/year saved in
infrastructure costs
Eliminated thousands of
applications & servers
Eliminated need for
additional data centers
Doubled utilization to 60%

Predictive Reliability
Combine the power of CA APM/IM & Capacity
Management to reliably predict capacity needs
Ensure Service
Delivery
Control Costs
Reduce Risk

Predictive Reliability is Designed to Guarantee Application
Deployments
‘What if’ modeling to reduce risk, ensure service delivery
and control costs
 Improve Application Performance and Scalability Testing
₋ Smooth transition from test to production
₋ Simplified test environments using cost effective infrastructure
₋ Reduce risks of service impact of platform, architecture or test load
volumes
₋ Determine production scalability
 Improve Application Development Release Cycles & Code Quality
₋ Increase time to market
₋ Improve application code quality
₋ Optimize the application lifecycle
 Ensure Expected Application Performance & overall Service Delivery
₋ Prescribe optimum sizing for business services
₋ Improve end-user experience
₋ Support risk, cost and performance decision making throughout
application life cycles

Guarantee Application Deployments
Customer example: Large Food & Beverage Distributor
Problem
Full testing of complex
SAP system very
expensive
Cannot uncover potential
bottlenecks
Exec Request: Reduce
cost & risk, improve
service delivery
Solution
Provide warning system
during design, test &
production that reduces
time, cost & risk with SAP
performance testing
Benefit
$2.5M savings in HW with
1st project alone
Reduces $millions in time,
cost & resources needed
to build/execute tests
Developed Model-based
Performance Testing
processes

Baseline
infrastructure
utilization
Profile &
correlate
workload
volumetrics
Predictive
analytics to
prescribe
optimum sizing
Quantified risk
and investment
support ROI and
business case
Predictive Reliability
How It Works

Application
Delivery
Capacity
Management
Application
Performance
Management
DevOps
=> [developers]:/collaborate/Operations Staff
=>
<= /accelerate /(new applications).delivery <=
There is No Ops in DevOps Without Capacity Management

Quantitative Benefits
25% 20% 10X 5X +/- 3%
Minimum
HW/SW
savings
Improvement
in application
response
times
Improvement
in capacity
planning
times
ROI realized
on first
project alone
Highly
accurate
projections
against
actuals

CA Capacity Management Proof of Value (PoV)…
The FREE CA Capacity Management Proof of Value
package will demonstrate the key benefits of how
the solution helps:
• REDUCE IT spend,
• IDENTIFY consolidation/virtualization
opportunities and
• Accurately identify and PREDICT future
infrastructure needs
• in half the time that a traditional PoC would
take.
How it works:
 Provide data backup (APM, VMware only)
 3 days to deliver PoV results
 CA PoV results presentation
 CA removes client data from PoV system
“We couldn’t believe how under-utilized our virtual environment actually
was. We can now have a better understanding of how to avoid
overspending and reclaim infrastructure that can support our future
initiatives.” – Data Center Manager, Large Managed Service Provider, March 2014

White Paper: Six Critical Steps to Building a
Successful Capacity Management Practice
Or visit ca.com/capacity
For More Information

CA Capacity Management: End-to-end Capacity Analysis to Cost Optimize & Right-Size Your IT Environment

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CA Capacity Management: End-to-end Capacity Analysis to Cost Optimize & Right-Size Your IT Environment