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JVM Metrics

The JVM Metrics Dashboard provides real-time monitoring of Java Virtual Machine performance metrics across your services. It offers comprehensive insights into system resources and JVM health.

JVM Metrics Dashboard showing system performance

Overview​

The dashboard displays critical system metrics in real-time:

  • CPU Usage
  • Memory Utilization
  • Thread Management
  • Disk Space
  • Swap Memory

Key Features​

1. Service Selection and Time Range​

  • Service Selector: Choose specific Java services to monitor
  • Time Range Control: Adjustable monitoring window (default: 10 minutes)
  • Auto-refresh: Real-time updates every 10 seconds

2. Key Performance Indicators (KPIs)​

The header displays four primary metrics:

MetricDescription
CPU UsageCurrent system CPU load (%)
Memory UsedActive heap memory usage (MB)
Thread CountNumber of active threads
ProcessorsAvailable CPU cores

3. Detailed Metrics Charts​

CPU Metrics​

  • System CPU load percentage
  • Process CPU utilization
  • Trend visualization over time

Memory Metrics​

  • Heap Memory Usage
  • Non-Heap Memory Usage
  • Maximum Memory Limit
  • Memory allocation trends

Thread Metrics​

  • Total Thread Count
  • Daemon Thread Count
  • Thread lifecycle patterns

Disk Space​

  • Used Space
  • Free Space
  • Total Usable Space

Swap Memory​

  • Used Swap Memory
  • Free Swap Memory
  • System memory pressure indicators

Using JVM Metrics​

1. Regular Monitoring​

  • Monitor CPU and memory trends
  • Track thread count changes
  • Watch swap usage patterns
  • Check disk space utilization

2. Performance Analysis​

  • Compare metrics across time periods
  • Correlate CPU and thread activity
  • Monitor memory allocation patterns
  • Track garbage collection impact

3. Troubleshooting​

For high CPU usage:

  • Check thread count spikes
  • Monitor process load
  • Review service activity

For memory issues:

  • Monitor heap usage
  • Track garbage collection
  • Check swap activity

For disk space:

  • Monitor free space trends
  • Watch for sudden changes
  • Check space allocation

Best Practices​

1. Daily Monitoring​

  • Review CPU trends
  • Check memory utilization
  • Monitor thread counts
  • Verify disk space

2. Performance Optimization​

  • Set appropriate memory limits
  • Monitor garbage collection
  • Optimize thread usage
  • Manage disk space

3. Problem Prevention​

  • Set up alerts for thresholds
  • Monitor trend changes
  • Document baseline metrics
  • Plan capacity upgrades

Tips and Tricks​

  1. Efficient Monitoring

    • Focus on critical metrics
    • Use appropriate time ranges
    • Monitor during peak loads

  2. Resource Management

    • Track memory leaks
    • Monitor thread growth
    • Manage disk usage

  3. Team Collaboration

    • Share monitoring views
    • Document issues found
    • Track improvements