eG Enterprise monitors all aspects of JVM performance and unearths server-side bottlenecks that impact the operation of your Java applications. Identify run-away threads, memory leaks, deadlocks, Garbage Collection issues and more.
Start Your TrialThe Java Virtual Machine (JVM) is the core of the Java application architecture. It interprets and translates the Java byte code into operations on the host platform. Because the Java middleware - including application servers such as Tomcat, JBoss EAP, WildFly, GlassFish, WebSphere, WebLogic - runs on the JVM, a performance issue in the JVM has a significant impact on business services it supports.
Monitoring of the JVM is an integral part of any Java application performance monitoring strategy. IT Ops and DevOps teams use JVM performance metrics to troubleshoot server-side bottlenecks. Developers and architects can also benefit from JVM monitoring by uncovering code-level issues.
eG Enterprise is a state-of-the-art Java performance monitoring solution that goes deep into analyzing issues across all Java tiers—from user experience, web front-end, application server, JVM, all the way to backend database and storage. Using JMX, eG Enterprise monitors JVMs in depth, tracking key performance indicators of all aspects of a JVM’s performance.
Unlike other JVM monitoring tools, from a single, easy-to-use web console, administrators and developers can analyze JVM performance, correlate it with other infrastructure metrics (server, virtualization, storage, etc.), and see actionable insights in the form of proactive alerts and intuitive dashboards for rapid problem diagnosis.
eG Enterprise analyzes hundreds of JVM performance metrics and identifies code-level bottlenecks including thread synchronization issues, deadlocks, memory leaks, GC issues and application configuration issues such as insufficient heap memory.
Since we don't control everything between our data center and client locations, events occasionally occur where service availability or application performance issues arise. eG Enterprise helps us pinpoint the nature and origin of the problem right away so we can resume normal operations as quickly as possible.
Java applications can fail or slow down if the memory available in the JVM is insufficient to handle the workload. eG Enterprise tracks usage levels of the JVM’s heap and non-heap memory and proactively alerts if memory usage levels are high.
Analysis of each of the memory pools including Eden space, Survivor space, Tenured gen and Perm gen space highlights how the JVM’s memory pool settings can be right-sized for improved performance. Memory monitoring at the JVM level also highlights any out-of-memory exceptions and potential memory leaks. In the latter case, top object types consuming memory are highlighted, making it easier for Java developers to fix memory leaks.
Most production Java applications are multi-threaded. eG Enterprise tracks all the thread activity in the JVM. With thread-level metrics, Java application administrators and developers can:
eG Enterprise allows you to easily track all garbage collection activity in the JVM: Identify when garbage collection happened, how often it is happening, how much memory is being collected each time and how long the garbage collection activity is running for.
JVM is at the heart of any Java application. Monitoring of the JVM provides insights into how the JVM is functioning – its CPU usage, memory usage, activities of functions like Garbage Collection, etc. Monitoring of the JVM can provide proactive alerts that can help an application operations team/DevOps team understand if there are bottlenecks in the JVM that are affecting application performance.
There are hundreds of JVM metrics that you can be monitoring. The more metrics you monitor, the more visibility you get into the performance of your Java application. Some of the key JVM metrics to monitor include usage of the heap and non-heap memory vs. the maximum limits set, CPU usage, garbage collection activity, and thread activities (deadlocks, blocked threads, etc.).
Yes, monitoring of the JVM can highlight issues in the application code. E.g., if a JVM is taking a lot of CPU, you can determine which thread and which line of code in which class (including the full stack trace) is being executed when the CPU usage is high. Likewise, analysis of JVM heap dumps can highlight which class or object has a memory leak, which could be because of a bug in the application code.
Yes, the configuration parameters used when a JVM is started can affect its performance. For example, the maximum size of the JVM heap is specified at JVM start-up. If this value is too small for the application workload, this will lead to excessive garbage collection, which in turn will slow down the Java application. JVM monitoring tools can highlight such issues by reporting the percentage of JVM heap being used.
JVM metrics can be obtained in different ways. There are several free tools available including JConsole, JVisualVM, etc. that provide insights into JVM performance. If you want continuous and proactive monitoring of the JVM, you will need to deploy a comprehensive monitoring solution that includes AIOps capabilities, will alert on anomalous behavior, will store historical metrics in a database and perform trend analysis and so on. eG Enterprise is one of the popular JVM monitoring tools in the market.
There are dozens of JVM monitoring tools available and the best tool depends on your requirements. A free tool might give you an instant snapshot of the resource usage of your JVM, but it might not be able to constantly monitor and send alerts if thresholds are breached. A more comprehensive Java application monitoring tool like eG Enterprise can monitor your entire Java application stack (JVM, application server and application code) as well as the underlying IT infrastructure to help you quickly pin-point the root-cause of an application slowdown.