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Summary:

The goal is to automate a lot more of the actual fixing of applications to the mix with the AppDynamics 3.7 release, says CEO Jyoti Bansal.

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The goal of application performance management (APM) products is to monitor how applications work and alert IT if things start to go awry. AppDynamics says its new release will automatically fix many of those problems without human intervention — a tall order.

Appdynamics CEO Jyoti Bansal

Appdynamics CEO Jyoti Bansal “We need to

“We need to handle apps more dynamically and expand more into operational management. We started with monitoring and now we’re expanding into automating the fixing of problems as well. We have to move more work into the machine itself instead of doing it all manually,” said Jyoti Bansal, CEO and founder of the San Francisco-based company.

“I use the analogy ot flying Boeing 757.  You have to be trained and need instrumentation and dashboards to fly it but you also have autopilot,” he added. And the product, which previously handled Java and .NET applications — arguably comprising 90 percent of corporate workloads — is adding PHP apps to the mix with this release as well.

AppDynamics, which raised $50 million in Series D funding in January,  competes with New Relic in APM, although Bansal would argue that New Relic targets startups and smaller companies while AppDynamics takes on big, enterprise clients and claims noteworthy customers including Netflix, Time Warner Cable, Orbitz, Stubhub, and Fox News as customers. New Relic also manages .NET, Java, Ruby PHP and Python applications.

The new capabilities run both  as Software as a Service but can also  be run on premises if the company desires.

When companies trust more of their workloads to outside  cloud providers, the importance of dashboards, the Boeing instrumentation Bansal mentioned. The metrics provided must be reliable and  factual. If users cannot believe what they are seeing, as happened in the recent Rap Genius-Heroku case, the consequences could be huge.

  1. If Bansal is saying the only difference between AppDynamics and New Relic is their target market then he’s either bluffing or wrong. The route to the enterprise is through engineers – this is the open source model and has been proven most recently by the likes of 10gen with MongoDB. New Relic are playing the same game but with SaaS: target developers and engineers, get deployment and then use a more traditional inside sales model to get the deals done.

    New Relic’s outward marketing looks very startup/small business orientated but if you know anything about the market or what they’re doing (and I think Bansal probably does), then it’s clear they’re hitting the enterprise market pretty hard. And doing quite well too.

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  2. William Louth Monday, March 11, 2013

    Looks like AppDynamics is taken a leaf out of dynaTrace’s book and simply copying our previous feature set as their vision for the “next generation” thingy.

    http://www.jinspired.com/site/jxinsight-opencore-6-4

    “Whilst many companies today are increasing the time and expense spent in collecting, storing and analyzing application performance monitoring data the results viewed in terms of improved availability and reliability are invariably disappointing because monitoring is not management. To actually manage applications, operations need to go beyond passively watching an application crash as it uncontrollably (and with little regard for its safety) reaches and exceeds internal and external resource limits and barriers. Today sadly the most commonly practiced operation performed by management staff tasked with resolving a troubled or failing application instance is to kill and restart the runtime.

    With JXInsight/OpenCore 6.4 we are offering three powerful metering extensions based on our adaptive control valve technology that dynamically optimize the performance of an application in terms of throughput and response as well as safe guarding its execution from exceeding limits it is not fully aware of but that can be sensed via past, present and predicted activity metering.

    Adaptive control builds on and compliments our earlier ground breaking work in bringing many Quality of Service (QoS) technologies and techniques used in networking up into the application runtime.”

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