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Java application monitoring

Gain deep visibility into your Java applications, JVM performance, and memory usage.

Modern Java applications power mission-critical systems, from enterprise apps to large-scale e-commerce platforms. But with growing complexity in codebases, threads, and distributed services, monitoring Java applications has become crucial to ensure optimal performance and prevent downtime.

ManageEngine Applications Manager helps you monitor Java applications, JVM health, and memory usage in real time, so you can detect performance issues early, optimize resource consumption, and deliver smooth end-user experiences.

What is Java application monitoring?

Java application monitoring is the process of tracking key performance metrics and runtime behavior of Java-based applications and the Java Virtual Machine (JVM). It provides insights into how your application performs under different loads, identifies bottlenecks in code or resource utilization, and helps maintain consistent performance.

By using a dedicated Java monitoring tool, IT teams can:

  • Detect performance degradation before it impacts users.
  • Monitor heap memory usage, garbage collection, and thread activity.
  • Understand how application code interacts with the JVM.
  • Optimize CPU and memory utilization.
  • Ensure stable, predictable application performance across environments.

Understanding the JVM architecture

At the heart of every Java application lies the Java Virtual Machine (JVM), the runtime environment that executes Java bytecode. Understanding its components is essential for effective monitoring.

A JVM typically comprises:

  • Class loader: Loads classes into memory at runtime.
  • Memory areas (heap & non-heap): Store objects, classes, and method data.
  • Execution engine: Executes the loaded classes.
  • Garbage collector (GC): Automatically reclaims unused memory.
  • Native interface & libraries: Facilitate interaction with system-level resources.

Each of these components affects how your Java application behaves under load. Monitoring JVM performance metrics helps you identify issues like excessive garbage collection, memory leaks, and thread contention, all of leading to sluggish performance or crashes.

Key metrics for Java application monitoring

To truly understand the health, stability, and performance of your Java applications, it's essential to track the right JVM and application-level KPIs. Here are the core metric categories that matter:

1. Memory metrics

Efficient memory usage is at the heart of JVM performance. Monitoring memory helps teams prevent slowdowns, optimize resource allocation, and avoid costly outages caused by memory leaks or inefficient garbage collection.

Includes:

  • Heap memory usage: Total, used, and committed heap memory.
  • Non-heap memory: Meta-space, code cache, and other areas.
  • Garbage collection metrics: Frequency and duration of GC cycles.

2. Thread metrics

Threads directly impact concurrency and application responsiveness. Keeping an eye on thread health helps detect bottlenecks, stuck threads, or deadlocks before they impact end-users.

Includes:

  • Active, runnable, and blocked threads.
  • Thread pool usage and deadlock detection.

3. CPU and load metrics

High CPU usage or excessive load can degrade performance and slow down request processing. Tracking these metrics helps teams quickly identify resource contention, scaling needs, or inefficient code paths.

Includes:

  • CPU utilization by JVM process.
  • System load average and process-level load.

4. Application-level metrics

These metrics tie JVM performance directly to real user experience. Monitoring them provides clarity on how your application behaves under varying loads and helps pinpoint issues in business transactions.

Includes:

  • Response time and throughput.
  • Error rates and exceptions.
  • JDBC connection pool usage and latency.

Applications Manager automatically collects, correlates, and visualizes all these metrics, giving you a complete 360° view of your Java environment, whether deployed on-premises, in containers, or on the cloud.

Understanding Java application memory usage

Memory management plays a pivotal role in Java application stability. The JVM heap memory is divided into generations (Young, Old, and Permanent/Metaspace), and each serves a specific purpose.

Poor memory management or unmonitored memory growth can result in OutOfMemoryErrors, frequent garbage collection cycles, or application hangs.

With Applications Manager, you can:

  • Monitor Java application memory usage in real time.
  • View heap and non-heap memory consumption trends.
  • Analyze GC behavior and tuning efficiency.
  • Identify objects consuming excessive memory.
  • Detect and troubleshoot memory leaks early.

By correlating memory data with response times and CPU usage, you can pinpoint inefficiencies before they impact performance.

Memory concepts and leak detection

Memory leaks are one of the most common causes of performance degradation in Java applications. A leak occurs when objects remain referenced in memory even after they’re no longer needed, preventing the garbage collector from reclaiming that space.

Applications Manager's memory leak detection capabilities help you:

  • Track object creation and retention patterns.
  • Identify classes responsible for growing memory usage.
  • Set intelligent alerts for abnormal memory growth.
  • Generate memory usage reports for trend analysis.

These insights allow you to fine-tune JVM configurations, adjust heap sizes, and improve overall stability.

Best practices for Java application memory management

Effective Java performance monitoring goes hand-in-hand with good memory management. Here are some best practices to ensure a healthy JVM:

  1. Tune JVM parameters: Optimize heap size (-Xms, -Xmx) and GC algorithms for your workload.
  2. Monitor and tune GC behavior: Use data from Applications Manager to find the ideal GC configuration.
  3. Avoid object churn: Reuse objects where possible and reduce frequent allocations.
  4. Profile code regularly: Identify methods causing excessive memory usage.
  5. Enable alerting: Configure threshold-based alerts for heap and thread metrics

With Applications Manager, you can automate much of this process, using intelligent baselines, anomaly detection, and historical trend analysis to guide tuning decisions.

Implementing Java monitoring with Applications Manager

Setting up Java application monitoring with Applications Manager is quick and code-free.

1. Auto-discovery and setup

Simply add your Java application or JVM instance, and Applications Manager automatically discovers performance metrics using built-in agents or JMX.

2. Real-time dashboards

Get unified dashboards that show memory, threads, GC, and transaction performance at a glance.

3. Intelligent alerts and reports

Receive alerts for abnormal spikes or degradation. Generate detailed performance reports to share with teams.

4. Root-cause analysis

Drill down from high-level performance views to detailed traces, logs, and method-level execution details for faster troubleshooting.

5. Integrations

Integrate seamlessly with ServiceNow, PagerDuty, Slack, and more to enhance collaboration and incident response.

6. Supported Java application frameworks

  • JAX-WS
  • Micronaut 2.2.0 - 3.x
  • Play 2.0.x - 2.7
  • Restlet 2.2, 2.3
  • Spring 3.x - 4.x
  • Struts 1.x, 2.x
  • gRPC server and client(v1.20.x to v1.60.x)
  • Wso2mi (Apache synapse)
  • Spring Cloud Gateway and reactor-netty HttpClient

Why choose Applications Manager for Java monitoring?

  • End-to-end visibility: Monitor applications, servers, and JVMs from a single console.
  • Low-overhead monitoring: Non-intrusive agents ensure minimal performance impact.
  • Smart analytics: Identify trends and anomalies with ML-based insights.
  • Custom alerts & dashboards: Stay proactive with personalized monitoring setups.
  • Hybrid support: Works across on-premises, cloud, and containerized Java deployments.

Whether you're running Tomcat, JBoss, WebLogic, WebSphere, or standalone JVM applications, Applications Manager helps you maintain consistent performance and reliability.

Get started with Java monitoring today

Eliminate blind spots in your Java ecosystem. Gain end-to-end visibility into application performance, memory usage, and JVM behavior, all from a single, intuitive platform.

Try ManageEngine Applications Manager free for 30 days

Empower your team with smarter Java monitoring and faster performance insights.

Loved by customers all over the world

"Standout Tool With Extensive Monitoring Capabilities"

It allows us to track crucial metrics such as response times, resource utilization, error rates, and transaction performance. The real-time monitoring alerts promptly notify us of any issues or anomalies, enabling us to take immediate action.

Reviewer Role: Research and Development

carlos-rivero

"I like Applications Manager because it helps us to detect issues present in our servers and SQL databases."

Carlos Rivero

Tech Support Manager, Lexmark

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