This document discusses the need for IT teams to unify big data and traditional IT infrastructure management. As big data projects grow rapidly within organizations in different silos, a unified approach is needed to manage complexity, scale, and visibility across systems. The CA Unified Infrastructure Management (CA UIM) solution provides a single pane of glass for monitoring big data frameworks like Hadoop, MongoDB, and Cassandra alongside traditional IT infrastructure. It offers comprehensive coverage, customizable dashboards, performance analytics and intelligent alerts to improve services levels and reduce costs associated with multiple monitoring tools.

1. Technology Primer: Hey IT—Your Big Data
Infrastructure Can’t Sit in a Silo Anymore
Rajaraman Sundaram
DevOps: Agile Ops
CA Technologies
Sr. Principal Product Marketing Manager
DO5X142S

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For Informational Purposes Only
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Abstract
The importance of adopting big data management technologies is
unquestionable these days. As a result the business side of organizations is
aggressively investing in big data, at times on their own without involving
central IT teams. Join us in session to learn why IT needs to unify big data
and traditional IT infrastructure to ensure optimal customer experience
and return on investment. We shall also be highlighting how CA Unified
Infrastructure Management (CA UIM) allows you to unify big data and IT
Infrastructure management through a unified view and architecture.
Rajaraman
Sundaram
CA Technologies
Sr. Principal Product
Marketing Manager

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Agenda
BIG DATA IN NUMBERS
WHY A SILOED APPROACH WON’T WORK ANYMORE?
CA UIM FOR MONGODB
CA UIM FOR BIG DATA
CA UIM FOR HADOOP
CA UIM FOR CASSANDRA
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Value of Big Data is Unquestionable
55%
of respondents’ have
already implemented
Big Data projects
are planning to
implement within the
next year
2X
likely to be in top
quartile of financial
performance within
their industries if they
use these technologies
29%
http://www.ca.com/us/~/media/Files/IndustryResearch/the-state-of-big-data-infrastructure.pdf
http://www.bain.com/Images/BAIN_BRIEF_Big_Data_The_organizational_challenge.pdf

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Big Data Projects Are Sitting In Silo’s
44%
integrating individual
projects across
functions and
departments
organizations’ Big
Data projects are not
integrated across
departments
21%
have a project limited
to a single
department or area
29%

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But this approach won’t cut it anymore here’s why….

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1. Both the growth and velocity of big data projects are increasing
 Continued growth of tools
and techniques
 More siloes and tools would
only result in more
complexity
 Lack of scale and visibility

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2. More transactional applications need to leverage Big Data
 Big Data not only for “top
management” decision
making anymore
 Examples include product
recommendation engines
 Need holistic visibility into
Big Data & IT Infrastructures

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3.Finding skilled staff would become even a bigger challenge
 Skills are high in demand
 More siloes and tools would
only result in more
complexity
 Lack of scale and visibility

11. CA UIM for Big Data

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Solution Overview
StorageSystems Network Database Apps Cloud
Data
center
CA Unified Infrastructure Management
Big
Data

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CA UIM for Big Data
Unify Big Data and traditional infrastructure performance management
 Unified visibility. Incorporate monitoring into a central
platform that can track all the environments from a
business service prospective.
 Proactive service management. Leverage intelligent
insights and alerts that help your team resolve issues
faster and before service levels take a hit.
 Reduce cost and complexity. Harness the
comprehensive coverage and capabilities that can
reduce the costs associated with buying and
supporting multiple, disconnected and complex tools.

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CA UIM for Big Data
Comprehensive picture of your entire IT & big data infrastructure

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Hadoop® 101
 Software framework for distributed storage and
distributed processing of very large data sets.
 Core components include
– Hadoop Common – contains libraries and utilities
needed by other Hadoop modules;
– Hadoop Distributed File System (HDFS) – a distributed
file-system
– Hadoop YARN – a resource-management platform
– Hadoop MapReduce – a programming model for large
scale data processing

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CA UIM for Hadoop
 Comprehensive monitoring coverage for all elements
daemons in Hadoop environments, including clusters
HDFS, NameNode, Resource Manager and Hbase.
 Out of the box monitoring dashboard and ability to
create custom dashboards
 Historical Performance trending and analysis
 Intelligent and predictive alerts

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Cassandra® 101
 Open source distributed database management system
designed to handle large amounts of data across many
commodity servers
 Providing high availability with no single point of failure.
 Cassandra offers robust support for clusters spanning
multiple datacenters, with asynchronous masterless
replication allowing low latency operations for all clients.

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CA UIM for Cassandra
 Comprehensive monitoring coverage for all elements daemons
in Hadoop environments, including Keyspace, JVM, column
family, storage volumes and more.
 Out of the box monitoring dashboard and ability to create
custom dashboards
 Historical Performance trending and analysis
 Intelligent and predictive alerts

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MongoDB® 101
 Open source database that uses a document-oriented data model.
 Document Database
– Documents (objects) map nicely to programming language data
types.
 High Performance
– Embedding makes reads and writes fast.
 High Availability
– Replicated servers with automatic master failover.
 Easy Scalability
– Automatic sharding distributes collection data across machines.

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CA UIM for MongoDB
 Monitors the internal performance and resource usage
throughout a node in a MongoDB cluster.
 Out of the box monitoring dashboard and ability to
create custom dashboards
 Historical Performance trending and analysis
 Intelligent and predictive alerts

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CA UIM for Big Data
Summary
• I want to monitor availability
and performance of all the
elements within the Big Data
framework and supporting IT
infrastructure.
• I want a single pane of glass
for my Big Data and traditional
IT environment.
• I don’t want to spend time
managing multiple
monitoring tools.
Customer Pain
• Comprehensive monitoring
coverage for Big Data
framework and supporting IT
Infrastructure.
• Real-time intelligent and,
automated alerts about your
Hadoop environment.
• Out of the box and
customizable reports and
dashboards for availability,
performance and SLA’s.
Solution Features
• Unified Visibility across Big
Data & traditional IT
infrastructures.
• Improved services levels with
holistic and proactive
performance monitoring.
• Reduce cost & complexity of
managing Big Data and IT
monitoring tools.
Benefits

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Q & A

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For More Information
To learn more, please visit:
http://cainc.to/Nv2VOe
CA World ’15