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It does things traditional profiling tools can’t. It allows developers to trace the impact of their code from beginning to end -- even in distributed applications. This, combined with real-time Java performance metrics, makes it a must-have tool for any Java developer. With this tool, developers can create better-performing applications that lead to better end user experience. | It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts. |
| - | give facts about the average response times and number of executions;
make decisions when trends are bad, before problems become too serious;
optimize based on the more limiting response times;
find the root causes of response times;
verify the real improvement after optimizations |
Statistics | |
GitHub Stars - | GitHub Stars 3.0K |
GitHub Forks - | GitHub Forks 754 |
Stacks 2 | Stacks 1 |
Followers 5 | Followers 6 |
Votes 0 | Votes 2 |
Pros & Cons | |
No community feedback yet | Pros
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