What's New and Unique In AppDynamics 3.0?

AppDynamics 3.0 Interview

Jessica Thornsby
What-s-New-and-Unique-In-AppDynamics-3-0

“Modern application architectures and production environments have changed dramatically in the last 5 years.”

JAXenter.com talks Application Performance Management, leak
detection and secret-sauce, with founder and CEO of AppDynamics,
Jyoti Bansal…….

JAXenter: What makes AppDynamics unique in the
world of Application Performance
Management?

Jyoti Bansal: Modern application architectures
and production environments have changed dramatically in the last 5
years. Today’s applications are highly-distributed,
service-oriented, use open source components and advanced caching
strategies, and change frequently because of agile development.
Today’s production environments often run across hybrid cloud,
virtual and physical data center environments. What this means is
that applications are now harder to manage than ever because a)
there are more components to manage and b) there is a higher rate
of change.

AppDynamics is the only solution built specifically for these
dynamic applications. Legacy solutions that require users to set
manual instrumentation, set manual thresholds and manually trigger
diagnostic sessions quickly develop blind-spots in dynamic
environments. With more to manage and a higher rate of change, our
focus has been to add intelligence to dynamically discover,
instrument and monitor these applications. One of our customers
releases 2500 builds per month and another customer fluctuates
their cloud capacity by 100’s of nodes per day. Our ability to
dynamically adapt to application & infrastructure change makes
us quite unique.

JAXenter: How does AppDynamics 3.0 build on the
product’s leak detection
functionality?

Jyoti Bansal: As companies re-architect their
mission-critical applications to leverage caching strategies and
improve performance, they realize they need new solutions to better
monitor and troubleshoot memory leaks and trash. What they find is
that legacy solutions, like Java profilers, are not a good fit for
production environments. For applications in production,
AppDynamics 3.0 provides real-time monitoring of Java heap and
garbage collection to automatically detect memory leaks as they
happen. What makes us unique is our ability to diagnose the root
cause by analyzing the content of the memory structure and
determining which code paths or transactions are causing memory to
grow.

JAXenter: What is ‘Deep-on-Demand
Diagnostics’?

Jyoti Bansal: Deep-on-Demand Diagnostics is our
patent-pending algorithms that are core to our secret-sauce. There
are three underlying algorithms designed to provide the following
customer benefits:

1) In-flight Response Analysis: Whenever a problematic session
is observed,
AppDynamics will collect diagnostic data.

2) Performance Pattern Analysis: Accurately distinguishes
one-time anamolies
from consistent patterns of poor performance.

3) Call Stack Analysis: Intelligently collects code-level
diagnostics with
less than 2% overhead.

JAXenter: Who are you targeting, with
AppDynamics 3.0?

Jyoti Bansal: AppDynamics can help any
enterprise that has mission-critical or revenue-critical Java
applications running in their organization or in the cloud. Some of
our customers include companies like Priceline, TiVo, NASA, Taleo,
etc. With AppDynamics 3.0, we become the standard bearer for
performance management in the cloud. We’ve worked very closely with
Netflix over the past 7 months as they rolled out their movie
streaming applications in cloud environments and are well equipped
to handle the unique performance challenges of any large-scale
cloud application deployments.

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