4/26/2023 0 Comments Jprofiler prerequisites![]() It has a number of probes that show you higher-level data from interesting subsystems in the JRE. With its JEE support, the program bridges the gap between a code profiler and a high-level JEE monitoring tool. Also, It adds a semantic layer on top of the low-level profiling data, like JDBC, JPA/Hibernate, JMS, and JNDI calls that are presented in the CPU profiling views. In addition, the call tree is split up for each request URI. For example, at the JEE aggregation level, you see the call tree in terms of the JEE components in your application. From the JDBC timeline view that shows you all JDBC connections with their activities, through the hot spots view that shows you slow statements to various telemetry views and a list of single events, the database probes are an essential tool for getting insight into your database layer.ĭedicated support for JEE is present in most views in the app. JProfiler's JDBC and JPA/Hibernate probes as well as the NoSQL probes for MongoDB, Cassandra, and HBase show the reasons for slow database access and how slow statements are called by your code. On all levels, It has been carefully designed to help you get started with solving your problems.ĭatabase calls are the top reasons for performance problems in business applications. ![]() Configuring sessions is straightforward, third-party integrations make getting started a breeze, and profiling data is presented in a natural way. JProfiler 64 bit is just that: simple and powerful at the same time. At the same time, you do not want to spend time learning how to use the tool. When your profile, you need the most powerful tool you can get. JProfiler's intuitive UI helps you resolve Java-based applications and performance bottlenecks, pin down memory leaks, and understand threading issues.
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