Learn how Vivo used CA Capacity Management to monitor current capacity and assure the optimized usage of their critical infrastructure environments, enabling them to dispose of manual procedures and spreadsheets and achieve increased time to value and high speed. For more information on DevOps solutions from CA Technologies, please visit: http://bit.ly/1wbjjqX

1. ca Opscenter
Case Study: Vivo Automated IT Capacity
Management to Optimize Usage of its Critical
Infrastructure Environment
Henio Aires Almeida
Telefonica Vivo
Telecom IT Capacity Manager
OCX58S @henioaires #CAWorld

2. Abstract
The main IT challenges in business today are to support new business
offers and the fast implementation of new applications that the
business requires. Vivo uses CA Capacity Management to monitor
current capacity and assure the optimized usage of their critical
infrastructure environments. This enables them to dispose of manual
procedures and spreadsheets and reveals increased time to value and
high speed to deliver, accelerating the resolution to business requests
and helping the company to shorten strategic application and business
initiatives’ time to market. The solution also allows Vivo to stay in
compliance with local regulatory agencies. (See related session: Meet
The Experts: Q&A for “Vivo Automated IT Capacity Management to
Optimize Usage of its Critical Infrastructure Environment.")
Henio Aires
Almeida
Telefonica Vivo
Telecom IT Capacity
Manager
2 © 2014 CA. ALL RIGHTS RESERVED.

3. Agenda
COMPANY INTRODUCTION
CHALLENGES BEFORE/DURING DEPLOYMENT
SUCCESS/BENEFITS AFTER DEPLOYMENT
OUR IMPLEMENTED CAPMAN SOLUTION/GENERAL RECOMMENDATIONS
OUR NEXT STEPS – WHERE WE’RE GOING & EXPECTED SUCCESSES
1
2
3
4
5
3 © 2014 CA. ALL RIGHTS RESERVED.

4. Company Introduction
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Telefónica (Brazil Accesses June 2014)
 Fixed Telephony: 10,929.1
 Mobile: 79,350.7
 Telefónica is one of the largest telecommunications
companies in the world in terms of market capitalization
and number of customers.
 Present in 24 countries and a customer base that
amounts more than 315.7 million accesses around the
world.
 At the end of 2013 Telefónica's revenue in Brazil reached
12,217 million euros. Brazil is now firmly established as
Telefónica's largest market in the region and it generates
almost 42% of the revenue of Telefónica in the region.
 Our Brazilian customers know us as Vivo
 Internet & Data:
4,103.5
 Pay TV: 687.8
Total Accesses: 95,098.1
(Data in thousands accesses)

5. Vivo and CA On The Journey To Capacity Planning
Maturity
We are here!
We have a mature process management ability and structure, with dedicated staff
We are part of the management process and requests for impact analysis and demands on infrastructure
We have a formal annual capacity plan with regular monitoring reports of environment
5 © 2014 CA. ALL RIGHTS RESERVED.
The process
requires a lot of
operational
effort
We maintain a process to identify and address performance improvements in our IT environments

6. About our process automation for capacity manager
Automation levels
Level 1
• Manual processes
Level 2
• Reports
automated and
centralized
capacity
We are
here!
Level 3
• "What-if” scenario
modeling
(manual)
• Correlate with
volumetric
business and
environments
consumption
(manual)
LOW HIGH
6 © 2014 CA. ALL RIGHTS RESERVED.
Level 4
• "What-if“ scenario
modeling
(automatic)
• Correlate with
volumetric
business and
environments
consumption
(automatic)
Level 5
• Proactive
• Transactional
applications
• Predictive
analytics for
optimal sizing &
performance
Automation
Although our management process capability is mature, our automation was low and the process of
analysis depended on operational effort to transform the raw data collected for analysis.

7. Our Challenges
 Raise the level of automation at the same level of process maturity, but how?
 Implement a specialized tool to accelerate the process and be able to:
– Reduce manual effort applied to current capacity planning allowing the scope of new
systems as well as increase participation in the analysis of business demands
– Rapid identification of changes in the behavior of systems allowing preventive actions to
mitigate impacts on environments and consequently on business
– Elaborate ‘what-if’ scenarios projections correlating transactions, infrastructure and
business data
7 © 2014 CA. ALL RIGHTS RESERVED.

8. Our Deployment Challenges
CURRENT CAPACITY
REPORTER (CCR)
CAPACITY
COMMAND CENTER
(CCC)
CA Capacity
Management
Modules
DATA MANAGER
(DM)
ADMINISTRATION
CAPACITY DATABASE
DATA MANAGER (DM)
DATA MANAGER DATA GATHERING ENGINE
Development of specific scripts to collect
DATA
ADAPTER
capacity metrics
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DATA
ADAPTER
DATA
ADAPTER
DATA
ADAPTER
DATA
ADAPTER
DATA
ADAPTER
DATA
ADAPTER
access.log
PARSER
PERFORMANCE
OPTIMIZER (PO)
SPREAD
SHEETS
SERVICE
OPERATION
APLICATION
MANAGEMENT
VCENTER NMON AUTOMATION SAR
INFRASTRUCTURE
MANAGEMENT
SERVICE
DEFINITIONS
CAPACITY
MANAGER
(CAPMAN)
STAGING
ARHEPA
SITESCOPE
Staging elaborate structure to normalize
and transform the data intended for
custom reports
Challenge: Replacing the basic data
collection infrastructure tool during the
project

9. CA Capacity Management Created Structure
CA
Capacity
Management
Number of Collections:
New infrastructure for Control-M and SiteScope servers to support the entire data collection consumed
and processed by CA Capacity Management.
9 © 2014 CA. ALL RIGHTS RESERVED.

10. Successes/Benefits Measured
Description of the effective gain Before After Unit Effective gain
Effort for creating technical periodical reports 410 10 Min 97%
Effort for data collection to fill out the Capacity Panel (Executive Weekly
Report)
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80 7 Min 91%
Time invested in impact analysis for business demands 64 96 hour/month 50%
Number of servers covered by the capacity team 1.143 1.500 Amount 31%
Number of environments covered by the capacity team 84 93 Amount 11%

11. Our Implementation
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
Data Manager is the performance data
repository for our capacity analysis

In addition, responsible for environment
monitoring report generation
Data Manager (DM)

12. Executive Views
Capacity Command Center (CCC)
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
Distribution of capacity
available for server groups
supporting critical applications

Drill down to individual server
utilization metrics

13. Standard Reporting
Current Capacity Reporter (CCR)
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
VMware cluster CPU trends

CCR display capacity data in
various dashbaord formats

CPU Heatmap

Usage graph & projected CPU
consumption

14. What are we doing now?
• Transferring our predictions from manual spreadsheets to CA Capacity Management
• Currently working with simple projections, no automatic correlation between
14 © 2014 CA. ALL RIGHTS RESERVED.

Capacity Manager will predict infrastructure
performance against workloads
transactions and infrastructure

15. Our Next Steps
• Preparation of complex projections with advanced "what-if“ scenarios, and create

models of correlation between the transaction, infrastructure and business data
Performance Optimizer (PO) predicts
application performance, response times and
infrastrcuture utilization resulting in an end-to-
end service view
15 © 2014 CA. ALL RIGHTS RESERVED.

16. General Recommendations
 Before implementing the tool
– create a formal process for capacity analysis and implement the tool to support this
process with a dedicated team
– have a structured method for data collection
 Start with critical environments first
 Take part of the management demand process for impact analysis on infrastructure
 Make periodic analysis of current consumption vs projections
 Have a process for dealing with identified deviations
16 © 2014 CA. ALL RIGHTS RESERVED.

17. For More Information
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from following “More Info Graphics” slide here;
DevOps
ensure it links to correct page
To learn more about DevOps, please visit:
http://bit.ly/1wbjjqX
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18. For Informational Purposes Only
© 2014 CA. All rights reserved. All trademarks referenced herein belong to their respective companies.
This presentation provided at CA World 2014 is intended for information purposes only and does not form any type of warranty. Content
provided in this presentation has not been reviewed for accuracy and is based on information provided by CA Partners and Customers.
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