Fig 1. Continuous Profiler alerting configeration Memory affects everything; therefore, it is critical to be able to pinpoint memory issues throughout an application development life cycle. One of the most useful functionalities of continuous profiling is that it can show us how much memory was allocated for a specific transaction or web request. With continuous profiling, you can actively track memory and subsequently optimize memory usage. This allows developers to get an instant insight into the heap in their production java applications with low overhead memory. Also, having a wider overview of how specific threads are running is essential to understanding performance syntax. A continuous profiler provides an interface where users can instrument individual threads in order to get to the root cause of the stability of performance-related issues.
Fig 2. Continuous Profiler – Thread profiling Interface.
Another notable feature of continuous profiling is its ability to profile code and spot performance bottlenecks on the go. Continuous profilers come equipped with a low overhead performance analysis feature, which is perfect for your production environment. Configured to take snapshots at regular intervals, continuous profiling provides excellent real-time insight so you will never miss an issue. Since profiling involves the process of measuring what part of your application is consuming a particular resource, a continuous profiler is able to track not just memory but also CPU usage on individual threads. As well as find and tune inefficient processes running on your application server.
Fig 3. Continuous Profiler – CPU Snapshots.
The heap memory is the runtime data area where the Java Virtual Machine (JVM) allocates memory for all class instances, methods and arrays. A continuous profiler such as FusionReactor, utilizes a graph to display such metadata as; how much heap has been used and how much is freed as the garbage collector is running. Continuous profiling also enables you to look at the heap in close detail by comparing heap snapshots from the memory view heap screen. While the stack-trace mechanism (mainly for debugging purpose) can be triggered to expose the various classes and methods for de-compilation.
Fig 4. Continuous Profiler – Heap Histogram.
Although profiling in a development environment is easy, it is hardly enough. More so, to say that pinpointing performance issues in a production environment is easy is far from true. Hence selecting the best tool for continuous profiling becomes really necessary. However, it is pertinent to consider the following conditions when choosing one, such as; That said, the aforementioned tasks would normally require the intuition of an expert. Nonetheless, with such sampling profilers like FusionReactor, there would be no need for a specialized software analyst during production-level profiling. Would you like to know more about the FusionReactor profiler? Click here to start a free trial or book a demo.
Reduce Server cost and Find Bottlenecks
Determine performance issues in a particular method.
What is the best tool for profiling?
Memory affects everything; therefore, it is critical to be able to pinpoint memory issues throughout an application development life cycle. One of the most useful functionalities of continuous profiling is that it can show us how much memory was allocated for a specific transaction or web request. With continuous profiling, you can actively track memory and subsequently optimize memory usage. This allows developers to get an instant insight into the heap in their production java applications with low overhead memory. Also, having a wider overview of how specific threads are running is essential to understanding performance syntax. A continuous profiler provides an interface where users can instrument individual threads in order to get to the root cause of the stability of performance-related issues.
