dropwizard/metrics
Metrics
This project is an application performance monitoring tool and JVM metrics library designed to measure workload behavior and export performance data to external monitoring databases. It serves as an instrumentation toolkit for tracking resource usage and internal runtime behavior within a Java execution environment.
The system focuses on application performance measurement and JVM application monitoring, specifically tracking system health and runtime resource analysis to identify bottlenecks and stability issues. It provides a mechanism for external metrics export, sending captured data to third-party tools for long-term analysis and visualization.
Features
- Application Performance Monitoring - Provides a comprehensive system for tracking runtime performance bottlenecks and operational health of applications.
- JVM Instrumentation Toolkits - Provides a toolkit for tracking resource usage and internal runtime behavior within a Java execution environment.
- Global Metric Registries - Maintains a central registry to store and organize active measurement objects for coordinated reporting and lifecycle management.
- JVM Application Monitoring - Monitors the internal health and resource utilization of the Java Virtual Machine runtime.
- Metrics Exporters - Exposes captured performance metrics to external monitoring tools and databases for long-term storage and analysis.
- Performance Measurement - Captures real-time execution data and high-resolution resource tracking to optimize software efficiency.
- Point-In-Time Snapshots - Captures current metric values as immutable point-in-time snapshots to ensure consistency during reporting cycles.
- JVM Runtime Analysis - Monitors internal memory and CPU behavior within the JVM to detect leaks and stability issues.
- Reporting Plugins - Provides pluggable reporter classes that translate internal metric data into specific formats for external monitoring tools.
- Latency Distribution Histograms - Captures performance data in buckets to approximate the statistical distribution of request latencies and sizes.
- Hardware Metric Polling - Utilizes a polling mechanism to periodically read real-time metrics and export them to external systems.
- Thread-Safe Metric Counters - Implements thread-safe counters to track real-time numerical metrics across concurrent operations without data corruption.
- Monitoring - Library for exposing application metrics.
- Logging Frameworks - Exposes application metrics via JMX or HTTP.
