Riverbed Applies Big Data Techniques to Application Performance Monitoring

Riverbed Applies Big Data Techniques to Application Performance Monitoring 
Big Data Collection and Analysis Reveals Deeper Insights on the End
User Experience 
SAN FRANCISCO, CA -- (Marketwired) -- 04/02/13 --   Riverbed
Technology (NASDAQ: RVBD), the application performance company, today
announced that users of Riverbed (R) OPNET AppInternals Xpert(R) can
now apply big data collection and analysis techniques to application
performance management. Big data techniques offer application
support, developer, and QA teams deep insight into the end-user
experience, speeding problem diagnosis, increasing IT efficiency, and
improving application service levels. OPNET AppInternals Xpert
provides these capabilities through the combination of Transaction
Trace Warehouse, a comprehensive record of all application
transactions, and big data analytics. 
"The full potential of application performance management lies in
exploiting the information that resides in large volumes of detailed
data about transaction performance and behavior," said Alain Cohen,
co-founder of OPNET Technologies, Inc. and chief technology officer,
Riverbed Performance Management. "Our big data capabilities go far
beyond traditional statistical performance summaries by enabling
massive retention of transactional data and powerful unstructured
search that gives IT the ability to quickly find and analyze the
right set of transactions to definitively answer questions. Equipped
with these capabilities, IT organizations can rapidly detect
performance problems and pinpoint their root causes before users or
the business are impacted." 
The scale, diversity, and granularity of data required to
comprehensively manage application performance quickly overwhelms
traditional performance management solutions. Redundant and
virtualized infrastructure, load-balanced applications, and
service-oriented architectures further contribute to the exploding
volume of available performance data. Given the volume and speed of
available data, analytics are essential to identify potential threats
and service disruptions. Historically, performance management
solutions have dealt with this volume of data by sampling, averaging,
or otherwise reducing the granularity of data they collect. These
techniques l
eave customers with inadequate data and insight, losing
the ability to track the complete application performance picture for
each user and every application. 
In contrast, big data collection and analysis techniques gather all
data, however large and varied, into a single framework for analysis.
Application support teams, development teams, and IT managers gain
the ability to search, analyze, and respond to the specific
challenges of specific users or individual transactions rather than
just managing performance averages. This level of insight is often
completely hidden by traditional application performance management
tools. The result is faster troubleshooting, increased uptime and the
opportunity to proactively identify application issues before they
impact business. 
"Enterprise IT organizations are rapidly becoming overloaded with
data, but in many cases still lack the complete visibility and
insight they need to resolve issues quickly and communicate a view of
what is really going on with application performance," said Bojon
Simic, president and principal analyst at TRAC Research. "By
incorporating big data techniques into performance management,
organizations can get to the root cause of problems faster and gain
new views into patterns that can make their organization more
OPNET AppInternals Xpert: Applying Big Data Techniques to Application
Performance Management
 OPNET AppInternals Xpert applies big data
techniques to APM through its Transaction Trace Warehouse, which
records all application transactions across all application tiers.
With every transaction captured, application teams have the deep
insights they need at hand. A simple, powerful open-ended search
speeds troubleshooting by making it fast and easy to find a single
problematic transaction among a billion good ones. In addition, OPNET
AppInternals Xpert includes a correlation engine that automates
troubleshooting by identifying cause-and-effect relationships across
hundreds of thousands of performance metrics from across multiple
application tiers. 
"Transaction Trace Warehouse has proven to be the ideal tool to allow
us to rapidly execute root cause analysis for enterprise application
performance or operational issues," said Keith O'Connell, delivery
manager, Enterprise and Portal Solutions Group at Xtivia. "The level
of detail that is captured and maintained is unparalleled in the APM
space, and the ability to rapidly execute custom historical analysis
of performance data transforms the identification of problem trends
or recurring events into an almost trivial task." 
Additional Resources 

--  OPNET AppInternals Xpert Overview
--  Facebook
--  LinkedIn
--  Riverbed Blog
--  Riverbed Community
--  Twitter (@Riverbed)
--  YouTube

Forward Looking Statements
 This press release contains forward-looking
statements, including statements relating to the expected demand for
Riverbed's products and services. These forward-looking statements
involve risks and uncertainties, as well as assumptions that, if they
do not fully materialize or prove incorrect, could cause our results
to differ materially from those expressed or implied by such
forward-looking statements. The risks and uncertainties that could
cause our results to differ materially from those expressed or
implied by such forward-looking statements include our ability to
react to trends and challenges in our business and the markets in
which we operate; our ability to anticipate market needs or develop
new or enhanced products to meet those needs; the adoption rate of
our products; our ability to establish and maintain successful
relationships with our distribution partners; our ability to compete
in our industry; fluctuations in demand, sales cycles and prices for
our products and services; shortages or price fluctuations in our
supply chain; our ability to protect our intellectual property
rights; general political, economic and market conditions and events;
and other risks and uncertainties described more fully in our
documents filed with or furnished to the Securities and Exchange
Commission. More information about these and other risks that may
impact Riverbed's business are set forth in our Form 10-K filed with
the SEC on February 19, 2013. All forward-looking statements in this
press release are based on information available to us as of the date
hereof, and we assume no obligation to update these forward-looking
statements. Any future product, feature or related specification that
may be referenced in this release are for information purposes only
and are not commitments to deliver any technology or enhancement.
Riverbed reserves the right to modify future product plans at any
About Riverbed
 Riverbed delivers application performance for the
globally connected enterprise. With Riverbed, enterprises can
successfully and intelligently implement strategic initiatives such
as virtualization, consolidation, cloud computing, and disaster
recovery without fear of compromising performance. By giving
enterprises the platform they need to understand, optimize and
consolidate their IT, Riverbed helps enterprises to build a fast,
fluid and dynamic IT architecture that aligns with the business needs
of the organization. 
Additional information about Riverbed (NASDAQ:
RVBD) is available at www.riverbed.com. 
Riverbed and any Riverbed product or service name or logo used herein
are trademarks of Riverbed 'Technology, Inc. All other trademarks
used herein belong to their respective owners. 
Alissa Vasilevskis
Riverbed Technology
Renee Lyall
Riverbed Technology
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