|Compuware brings enterprise APM to cloud, Big Data applications|
Compuware Corp. introduced a transaction management solution for dynamic cloud and big data applications.
The Compuware APM Spring 2012 Platform Release introduces new innovations in Compuware dynaTrace Enterprise that simplify performance optimization, operation and management of modern, dynamic applications.
These transformational application environments require a new approach to application performance management to support massively scalable architectures and dynamic, elastic resource allocation. With dynaTrace Enterprise and its patented PurePath technology, EC2 and Azure cloud applications as well as Cassandra and Hadoop Big Data applications can be easily optimized and managed for greater performance and availability.
"Today's application landscape is rapidly changing as virtualized environments become more dynamic and flexible and as elastic cloud applications take hold in the enterprise," said Julie Craig, research director at Enterprise Management Associates. "This means that businesses are moving beyond private cloud and expanding use of public and even hybrid cloud. At the same time, Big Data is becoming increasingly integral to enterprise applications, as companies seek to incorporate massive amounts of data into business analytics, decision support, BI, and many other types of data analytics solutions."
dynaTrace Enterprise provides visibility into both Cassandra NoSQL and Hadoop Map/Reduce Big Data environments, supporting these scalable elastic environments in several ways:
• Zero-configuration instrumentation: for real-time code-level clarity for faster tuning and more scalable instances at lower costs.
• Out-of-the-box analytics and dashboards: optimized for Cassandra and Hadoop.
• Auto-adaptive instrumentation and dashboards for zero-touch elastic use.
• Smart auto-baselines for fast time-to-value and no false-positive alerting even for dynamic, highly elastic environments.
• Automatic log file correlation to transaction detail for deeper application context and faster mean-time-to-resolve (MTTR) than any alternative approach in the market.
[This article was posted on June 12, 2012, on the website of ABA Banking Journal, www.ababj.com.]
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