jvm-profiler
A Java Agent for distributed JVM profiling, collecting metrics and tracing methods for Hadoop/Spark applications.
What is jvm-profiler?
Uber JVM Profiler is a Java Agent that collects performance metrics and stack traces from JVM processes in distributed environments like Hadoop and Spark. It helps developers monitor CPU, memory, and IO usage across multiple machines, trace method calls, and generate flame graphs to identify performance bottlenecks.
Developers and engineers working with distributed JVM applications, particularly those using Hadoop, Spark, or other large-scale Java-based data processing frameworks who need to profile performance across clusters.
It offers distributed profiling without code changes, supports flexible metric reporting to Kafka or custom endpoints, and provides advanced features like method argument tracing and flame graph generation for deep performance analysis.
Overview
JVM Profiler Sending Metrics to Kafka, Console Output or Custom Reporter
Use Cases
Best For
- Profiling Spark applications across multiple executors
- Tracing HDFS call latencies in distributed systems
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
