jmx_exporter
JMX Exporter is a Java agent that collects metrics from Java applications via JMX MBeans and exposes them in Prometheus format. It bridges the gap between traditional Java monitoring and modern observability platforms, enabling pull-based metric collection from any JVM application.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | prometheus/jmx_exporter |
| Owner | prometheus |
| Primary language | Java |
| License | Apache-2.0 — OSI-approved |
| Stars | 3.3k |
| Forks | 1.2k |
| Open issues | 16 |
| Latest release | v1.6.0 (2026-06-05) |
| Last updated | 2026-07-07 |
| Source | https://github.com/prometheus/jmx_exporter |
What jmx_exporter is
A Java-based Prometheus exporter that attaches as a JVM agent or runs standalone to scrape JMX MBean attributes and export them as Prometheus metrics. Supports flexible configuration, custom metric transformations, and integrates directly with Prometheus scrape endpoints.
Get the jmx_exporter source
Clone the repository and explore it locally.
git clone https://github.com/prometheus/jmx_exporter.gitcd jmx_exporter# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- JVM agent attachment requires JVM startup flags or explicit jar invocation; confirm deployment mechanism supports this.
- JMX must be enabled and accessible on the target JVM (network port, authentication); firewall and security group rules are prerequisites.
- Configuration is YAML-based with regex rules for MBean selection; test selectors thoroughly to avoid metric cardinality issues.
- Requires Java 8+; verify JVM compatibility and that agent jar is compatible with your JVM version.
- Memory footprint of agent is typically low, but high-cardinality metrics can increase heap usage; monitor agent process.
When to avoid it — and what to weigh
- No JMX Available — If your Java application does not expose JMX MBeans or JMX is intentionally disabled, this tool cannot collect metrics.
- Real-Time Sub-Second Latency Requirements — Prometheus scrape-based collection introduces polling overhead; not suitable for ultra-low-latency metric delivery.
- High-Cardinality Metric Explosion Risk — Misconfigured JMX selectors can create unbounded label combinations, degrading Prometheus cardinality and performance.
- Proprietary JMX Extensions Without Documentation — Custom or vendor-specific MBean hierarchies require deep knowledge to map correctly; may demand significant integration effort.
License & commercial use
Apache License 2.0 (Apache-2.0). Permissive OSI-approved license allowing commercial use, modification, and distribution with minimal restrictions.
Apache-2.0 is a permissive license that explicitly permits commercial use. However, review the LICENSE file and ensure compliance with attribution and liability disclaimers. If bundling or heavily modifying, consider consulting legal guidance.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Strong |
| Assessment confidence | High |
JMX network exposure requires authentication and network isolation; ensure JMX port is not publicly accessible. Agent runs with JVM privileges; vet any custom configuration files. No explicit security audit data provided; review release notes for vulnerability disclosures. TLS support for JMX connections depends on JVM and exporter version; verify if encryption is required.
Alternatives to consider
Micrometer + Prometheus Registry
Requires code instrumentation but provides type-safe metrics and native Spring Boot integration; better for greenfield Java apps.
New Relic Java Agent or Datadog APM
Commercial, full-stack observability with auto-instrumentation; better for teams unwilling to manage Prometheus infrastructure.
Jolokia (REST-based JMX)
Exposes JMX as REST endpoints; simpler HTTP-based alternative, but no native Prometheus format export.
Build on jmx_exporter with DEV.co software developers
Deploy JMX Exporter to bridge legacy Java monitoring with Prometheus. Contact our team to plan integration with your observability stack.
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jmx_exporter FAQ
Do I need to modify my Java application code?
How do I configure which JMX metrics to export?
Can I use this in Kubernetes?
What happens if I export too many metrics?
Software developers & web developers for hire
DEV.co helps companies turn open-source tools like jmx_exporter into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source observability stack.
Ready to Export JMX Metrics?
Deploy JMX Exporter to bridge legacy Java monitoring with Prometheus. Contact our team to plan integration with your observability stack.