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Java Profiler for Intelligent Code Profiling

Resolve Performance Problems Faster with JProbe


JProbe Java Profler

JProbe is an enterprise-class Java profiler providing intelligent diagnostics on memory usage, performance and test coverage, allowing developers to quickly pinpoint and repair the root cause of application code performance and stability problems that obstruct component and integration integrity.

With JProbe, developers can rapidly discover, diagnose and resolve performance problems and minimize time spent in problem resolution cycles. This helps developers remain focused on designing code and meeting project deadlines.

Through one console, JProbe provides three robust Java profiling tools for memory, performance and coverage:


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Java Profiler for Memory Analysis – JProbe helps developers identify and resolve Java memory leaks and object cycling to ensure optimal program efficiency and stability.
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Java Profiler for Performance Analysis – JProbe helps developers identify and resolve Java bottlenecks and deadlocks to ensure optimal program performance and scalability.
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Java Profiler for Coverage Analysis – JProbe helps developers and QA identify unexecuted lines of code during unit testing to ensure test coverage and program correctness.
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Additional Information:

Other Useful Sites:

"Our users were experiencing significant slow down, waiting more than a minute between screens. We found ourselves many times having to reboot our servers to clear out-of-memory problems. With the use of JProbe, we were able to quickly find and fix the memory leaks in our application and re-deploy a new version into production. In turn, we were able to do more transactions, leading to more revenue for the organization."

               -Nicky A. - Sr. Systems Programmer






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Related Solutions

PerformaSure complements JProbe with robust, multi-tier Java transaction profiling: easily isolate, diagnose and resolve application performance problems across the Java technology stack at both the integration and load testing phases of the application lifecycle in pre-production.

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