case study: vivo automated it capacity management to optimize usage of its critical infrastructure...
DESCRIPTION
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/1wbjjqXTRANSCRIPT
Case Study: Vivo Automated IT Capacity Management to Optimize Usage of its Critical Infrastructure Environment Henio Aires Almeida
OCX58S @henioaires #CAWorld
ca Opscenter
Telefonica Vivo Telecom IT Capacity Manager
2 © 2014 CA. ALL RIGHTS RESERVED.
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
3 © 2014 CA. ALL RIGHTS RESERVED.
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
4 © 2014 CA. ALL RIGHTS RESERVED.
Company Introduction
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)
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Vivo and CA On The Journey To Capacity Planning Maturity
We are here!
The process requires a lot of
operational effort
We maintain a process to identify and address performance improvements in our IT environments
We have a formal annual capacity plan with regular monitoring reports of environment
We are part of the management process and requests for impact analysis and demands on infrastructure
We have a mature process management ability and structure, with dedicated staff
6 © 2014 CA. ALL RIGHTS RESERVED.
About our process automation for capacity manager
Level 1 • Manual processes
Level 2 • Reports
automated and centralized capacity
Level 3 • "What-if” scenario
modeling (manual)
• Correlate with volumetric business and environments consumption (manual)
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.
Automation levels
LOW HIGH
We are here!
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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
8 © 2014 CA. ALL RIGHTS RESERVED.
Our Deployment Challenges
CURRENT CAPACITY REPORTER (CCR)
CAPACITY COMMAND CENTER
(CCC)
CA
Cap
acit
y M
anag
em
en
t M
od
ule
s
DATA MANAGER (DM)
ADMINISTRATION
CAPACITY DATABASE
DATA MANAGER (DM)
DATA MANAGER DATA GATHERING ENGINE
DATA ADAPTER
DATA ADAPTER
DATA ADAPTER
DATA ADAPTER
DATA ADAPTER
DATA ADAPTER
DATA ADAPTER
access.log PARSER
PERFORMANCE OPTIMIZER (PO)
SPREAD SHEETS
SER
VIC
E O
PER
ATI
ON
APLICATION MANAGEMENT
VCENTER NMON SAR AUTOMATION
INFRASTRUCTURE MANAGEMENT
SERVICE DEFINITIONS
CAPACITY MANAGER (CAPMAN)
STAGING AREA HP
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
Development of specific scripts to collect capacity metrics
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CA Capacity Management Created Structure
CA Capacity
Management
New infrastructure for Control-M and SiteScope servers to support the entire data collection consumed and processed by CA Capacity Management.
Number of Collections:
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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)
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%
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Our Implementation
Data Manager is the performance data repository for our capacity analysis
In addition, responsible for environment monitoring report generation
Data Manager (DM)
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Executive Views Capacity Command Center (CCC)
Distribution of capacity available for server groups supporting critical applications
Drill down to individual server utilization metrics
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Standard Reporting Current Capacity Reporter (CCR)
CCR display capacity data in various dashbaord formats
VMware cluster CPU trends
CPU Heatmap
Usage graph & projected CPU consumption
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What are we doing now?
Capacity Manager will predict infrastructure performance against workloads
• Transferring our predictions from manual spreadsheets to CA Capacity Management • Currently working with simple projections, no automatic correlation between
transactions and infrastructure
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Our Next Steps
Performance Optimizer (PO) predicts application performance, response times and infrastrcuture utilization resulting in an end-to-end service view
• Preparation of complex projections with advanced "what-if“ scenarios, and create models of correlation between the transaction, infrastructure and business data
16 © 2014 CA. ALL RIGHTS RESERVED.
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
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For More Information
To learn more about DevOps, please visit:
http://bit.ly/1wbjjqX
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ensure it links to correct page DevOps
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