With its JEE support, JProfiler bridges the gap between a code profiler and a high-level JEE monitoring tool. Also, JProfiler 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, in the JEE aggregation level you see the call tree in terms of the JEE components in your application. Excellent support for Java Enterprise Editionĭedicated support for JEE is present in most views in JProfiler. 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. 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. Database profiling for JDBC, JPA and NoSQLĭatabase calls are the top reasons for performance problems in business applications. On all levels, JProfiler has been carefully designed to help you get started with solving your problems. Configuring sessions is straight-forward, third party integrations make getting started a breeze and profiling data is presented in a natural way.
JProfiler is just that: simple and powerful at the same time.
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At the same time, you do not want to spend time learning how to use the tool. When you profile, you need the most powerful tool you can get. JProfiler's intuitive UI helps you resolve performance bottlenecks, pin down memory leaks and understand threading issues.
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