Survey Finds that Application Environments are Expected to Grow 20% in 2012, Yet IT Ops and Dev Teams Aren't Ready
Over 80% of Respondents Experienced at Least One Major Application Performance Issue in 2011
SAN FRANCISCO, CA – December 28, 2011 – AppDynamics, the leading Java/.NET application performance management (APM) solution for the cloud generation, today announced the results of its annual Application Performance Management survey. Based on the responses by over 250 IT operations and development professionals, the survey revealed the existence of a “perfect storm” on the horizon in terms of the growth of complex application environments, the relatively long Mean-Time-to-Resolution to resolve performance problems, and the overreliance on outdated tools such as log files during production firefights.
According to the survey:
Applications are heading for massive growth. Survey respondents indicated that they have a significant number of applications under their watch: over 40% have more than 10 mission-critical applications, with many being customer-facing and a surprising percentage (nearly 40%) processing more than 10,000 transactions a day. In addition, the need for agile release cycles is clearly the “new normal” with 85% of respondents participating in either multiple releases per year or even daily/weekly releases. At the same time, the majority of survey respondents expect to see growth in their environments in 10-25% range or even more throughout 2012.
The Cloud is adding to the complexity. Nearly 50% of respondents plan to move 20% or more of their mission-critical applications to the cloud. This demonstrates the significant upswing in planned cloud adoption versus the same survey last year (where only around 15% were seriously considering the cloud in the design of their applications). 36% of respondents have begun architecting their new applications to fit the cloud.
Managing application performance has never been more difficult. Over 80% of respondents reported that they have experienced at least one Severity 1 problem in regards to mission-critical apps in the past 12 months, and over 50% have experienced five or more such problems. Furthermore, the Mean-Time-to-Resolution to resolve these issues was not speedy: over 60% of respondents took longer than 2 hours to achieve problem resolution.
Despite all of this change and complexity, Application Teams are relying on log files for troubleshooting. Surprisingly, very few respondents—despite their general expectation for growth in their application environments throughout 2012—are using modern products designed for managing distributed applications. In fact, over 60% are using log files as their primary approach to application performance.
“These survey results confirm what we see every day: application performance environments are already complex and facing a high rate of change, and the complexity is only going to grow in 2012,” said Jyoti Bansal, CEO of AppDynamics. “Our customers tell us that prior to using AppDynamics, they engaged in production firefights that took hours or even days. Given the expected growth in business-critical applications throughout 2012, AppDynamics recommends that Ops and Dev teams consider the new breed of JVM Monitoring and .NET Monitoring solutions designed to make their lives easier. AppDynamics is built from the ground up for dynamic and distributed environments and is uniquely suited for the challenges of agile release cycles.”
AppDynamics is the Application Intelligence company. With AppDynamics, enterprises have real-time insights into application performance, user performance and business performance so they can move faster in an increasingly sophisticated, software-driven world. AppDynamics’ integrated suite of applications is built on its innovative, enterprise-grade App iQ Platform that enables its customers to make faster decisions that enhance customer engagement and improve operational and business performance. AppDynamics is uniquely positioned to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale.
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