jmxtrans
A connector that collects JMX metrics from JVMs and outputs them to various monitoring and graphing systems.
What is jmxtrans?
jmxtrans is an open-source tool that collects Java Management Extensions (JMX) metrics from JVMs and outputs them to various monitoring and graphing systems like Graphite, StatsD, and OpenTSDB. It solves the problem of bridging JMX data with external observability tools using JSON or YAML configuration files. The tool is designed for scalability, capable of handling thousands of machines from a single instance.
DevOps engineers, SREs, and Java developers who need to monitor JVM performance and metrics in production environments, especially those using multiple monitoring backends.
Developers choose jmxtrans for its efficient, scalable engine and flexible configuration that supports a wide range of output formats, making it a versatile and reliable connector for JVM monitoring without being tied to a single vendor or system.
Overview
jmxtrans
Use Cases
Best For
- Collecting JMX metrics from large-scale Java applications
- Integrating JVM monitoring with Graphite or StatsD backends
- Building custom monitoring pipelines for Java-based microservices
- Exporting JMX data to time-series databases like OpenTSDB
- Automating metric collection from thousands of JVMs efficiently
- Replacing manual JMX queries with automated, configurable outputs
Not Ideal For
- Teams relying solely on built-in JMX consoles without need for external metric export
- Non-Java environments or applications not using JMX for monitoring
- Organizations seeking an all-in-one monitoring platform with integrated dashboards and alerting
- Projects requiring real-time data processing or advanced filtering beyond basic metric collection
Pros & Cons
Pros
Uses JSON or YAML files to define JMX metrics and outputs, allowing easy adaptation to various monitoring setups as highlighted in the README.
Engine designed to handle thousands of machines from a single instance, making it suitable for large-scale deployments per the project description.
Includes writers for popular backends like Graphite, StatsD, and OpenTSDB, ensuring compatibility with diverse monitoring ecosystems as listed in the features.
Solid core engine allows community-driven addition of new output writers, enabling support for other monitoring packages, as mentioned in the README.
Cons
Defining metrics in JSON or YAML files can be manual and error-prone, especially for complex or numerous JVMs, requiring significant upfront setup.
Full documentation is hosted on a separate Wiki, which may lead to outdated or scattered information, as noted in the README, complicating troubleshooting.
Acts only as a data bridge, requiring additional tools for visualization and alerting, increasing the monitoring stack complexity and dependency on external systems.
Frequently Asked Questions
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