Generate massive concurrent load from diverse client channels
Lack of monitoring across all nodes in the call chain
Unable to replicate complex performance testing scenarios
System issues under high load:
Frequent Garbage Collection (GC)
Java Application Memory Overflow
Java Thread Blocking and Deadlock
High CPU Utilization
Traffic Surge
Slow Database Queries
Improper Reverse Proxy Configuration Leading to Poor Performance
Shared File System Access Anomalies
Tomcat Abnormalities / Tomcat Failures
APM Product Features
Comprehensive Monitoring Capabilities
APMoffers six core monitoring services, including JVM monitoring, JMX monitoring, server monitoring, MySQL slow query log monitoring, Redis monitoring, and Nginx monitoring.
Provides a web-based interface with rich visual dashboards; accessible via any browser without repeated installation of APM agents
Easy to Operate
To activate APM monitoring, simply deploy the monitoring agent on the target server, access the APM web console, and add the connection information.
Supports Interactive Analysis
Delivers real-time, interactive analysis for deep visibility into application components—including threads, source code, locks, and SQL statements—to accurately pinpoint root causes.
JMX Monitoring Service: Collects JVM metrics by enabling the built-in JMX functionality in the JDK.
The JMX monitoring service includes six key areas: thread data, metaspace usage, class loading statistics, memory utilization, CPU metrics, and Tomcat monitoring.
Monitors and manages Tomcat application servers.
Network device information and network usage monitoring.
CPU Usage Monitoring.
Redis Monitoring Service: Directly monitors Redis instances using connection credentials. Visual charts display Redis memory consumption and connected client count; slow logs are presented in tabular format for detailed review.
Thread Statistical Analysis: Displays all threads within the current process, including thread group, thread state, and associated lock objects.
Command-line analysis supports specific commands (e.g., thread) to analyze thread behavior—identifying high-CPU-consuming threads or detecting potential deadlocks based on thread states.
Use APM to Analyze Performance Bottlenecks
System Deployment Architecture Diagram – End-to-End Load Test Analysis