JEUS application server monitoring
Monitor your JEUS application stack within a single-pane-of-glass and get visibility into the performance of your JVM, web containers, application code, database connections, slow queries, external service calls, and more.
Free TrialWhy is JEUS Monitoring needed?
The JEUS application server is a popular application server for Java web applications. Implementing a "pure Java" HTTP web server, JEUS supports Java Servlets, Java Server Pages, and WebSockets, and can support highly transactional Java applications and services.
To ensure high application performance, it is essential to monitor the JEUS application server, the Java Virtual Machine (JVM) it uses, the application components it hosts, and the infrastructure tiers supporting it. IT teams and developers need the capability to proactively detect performance problems before they impact end-users of the Java application.

Full stack JEUS performance monitoring
eG Enterprise is a full-stack application performance monitoring that delivers in-depth insights into Java applications powered by JEUS. From an intuitive web console, application owners, developers, and administrators can:
- Monitor the JVM, the JEUS web container, and application transaction profiling from a single console
- Track problematic application code, database connections, slow queries, external web service calls, and more
- Get deep diagnostics on all aspects of JEUS performance including Connectors, Servlets, Thread pools, Jasper Compiler, Sessions and caching
eG Enterprise for JEUS Monitoring
eG Enterprise helps you enhance the performance of your JEUS applications:
- Monitor real user experience and proactively detect any slowness
- Troubleshoot faster by gaining deep performance insights and KPIs about JEUS performance
- Single monitor for everything Java: JVMs, containers, web front end, databases, and underlying physical and virtual infrastructure
- Eliminate finger-pointing between IT Ops, DevOps, and developers by automatically pinpointing the root cause of performance issues









