1. CIOREVIEW.COM CIOReview NOVEMBER - 2014
C I O R e v i e w| 1 | November 2014
IT SERVICES SpECIal
T h e N a v i g a t o r f o r E n t e r p r i s e S o l u t i o n s
WCI Consulting:
Methodically
Disintegrating
Business
Challenges
$ 10US
SE 12
Marty Carney,
President & CEO

2. Why IT Big Data
needs its
Own Analytics ?
Founded in 2007 and headquartered at Jersey City, NJ, Evolven's IT Operations Analytics provides intelligent
answers to key IT operations challenges: how to accelerate incident resolution, how to avoid harmful and risky
changes, and how to assess and optimize IT operations performance.
IT Operations Powers Business Big
Data
Using Big Data is currently seen as
a solution for everything these days.
Businesses and government agencies
alike are collecting large volumes
of diverse data from web logs, click
streams, sensors, and many other
sources, looking to extract insights
hidden in this poly-structured “big
data”, that can alert them to everything
from product problems to potential
market opportunities spawned by
specific events.
To get an understanding of the
interrelationships of this data, IT
support teams provide support for the
massive volumes of unstructured and
semi-structured big data, extracting
value from this data for the business,
by applying emerging Big Data
analytics solutions. IT management
teams can integrate unstructured
data with structured data from core
business applications, analyzing the
combined data set, and integrating big
data discoveries into the enterprise.
IT Operations, themselves,
also face their own "big data"
challenges due to the volume, variety
and velocity of IT information
overwhelming IT operations in the
data center. So by applying the Big
Data analytics perspective to IT
operations, there is an opportunity to
not only make a strategic change in
the way IT operates, but also extract
tremendous value. Now is the time
to apply some of the same Big Data
thinking that has been put to work
for business management to IT, and
bring the analysis of big data inwards
for IT Operations, with IT Operations
Analytics (ITOA) tools.
Overwhelming IT Ops Big Data Means
Big Outages
Over the last decade, headlines
have remained consistent, showing
how IT management chases critical
operational issues. It's no longer
good enough to try to react quickly
to outages, tracking down root causes
only gets more difficult as complexity
grows and IT operations has to wrestle
with both too much and incomplete
information from mountains of logs,
event data, configuration parameters,
APM systems, Security data, and IT
defined KPI’s.
This past year, for example,
Amazon.com, Microsoft's Outlook.
com, and Google all suffered
significant outages that not only
upset users, but also made headlines
everywhere. In August 2013, a short
Google outage sent web traffic
plummeting by as much as 40 percent,
where all its services from Google
Search to Gmail to YouTube stopped
By Sasha Gilenson, Co-founder & CEO, Evolven
Analyzing massive
amounts of data that
IT collects across the
increasingly dynamic
environments
can be a daunting task
CEO View Point

3. working across the world.
Analyzing IT Data makes IT
Operations More Effective
IT Operations Analytics tools have
the ability to collect and manage
every bit of IT data (performance
metrics, monitoring data, changes,
events, topology, logs and machine
data) to provide complete insight
into the IT environment, allowing
for easy correlation and contextual
analysis of harmful anomalies.
Analyzing the millions or billions of
daily changes, performance alerts,
machine events in log files, and other
structured and unstructured data
from a wide variety of sources, IT
operations can deal with the volume,
velocity, and variety of IT big data
and gain insight for early detection
of potential problems.
How IT Operations Analytics
Empowers IT
Analyzing these massive amounts
of data that IT collects across the
increasingly dynamic environments
can be a daunting task.
In a fast-changing world, it is
simply not acceptable anymore to
wait until customers complain that
something is wrong. Problems need
to be solved before they occur. With
IT Operations Analytics, this is a lot
easier to achieve as the latest tools
zero IT operations automatically
on a subset of relevant high-risk
events in business systems and IT
environments hosting them. For
example, there are IT Operations
Analytics technologies that
automatically highlight changes
applied to various layers of IT
environments that can produce
negative impact on performance,
availability or security of the critical
business systems. These modern
analytics tools provide actionable
insights in easily interpretable
context allowing IT Operations to
simply spot potential problems and
quickly avoid them before they can
cause any negative impact. ITOA
tools combine domain expertise with
mathematical algorithms, allowing
IT operations to recognize and
evaluate patterns and topology in
multi-dimensional data at a glance.
ITOA tools detect emerging
problems faster, allowing IT
operations pros to:
• Learn normal operational
behavior across the IT environments,
including how metrics behave
together.
• Identify metric relationship
changes that could signal a problem
long before traditional thresholds
change
• Identify problems before one
knows where to look for them
• Detect service impacts that are
not identifiable by fixed thresholds
alone.
• Address root cause analysis by
indicating the most likely suspects.
• Reduce expensive and time-consuming
false alerts.
Sasha Gilenson