Stagemonitor alternatives and similar libraries
Based on the "Monitoring" category.
Alternatively, view Stagemonitor alternatives based on common mentions on social networks and blogs.
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Metrics
:chart_with_upwards_trend: Capturing JVM- and application-level metrics. So you know what's going on. -
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Automon
Automon combines the power of AOP (AspectJ) with monitoring or logging tools you already use to declaratively trace and monitor your Java code, the JDK, and 3rd party libraries. -
inspectIT
inspectIT is the leading Open Source APM (Application Performance Management) tool for analyzing your Java (EE) applications. -
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BugSnag
Exception and error monitoring with a integration of several third party tools for a better workflow and a free hobbyist tier. -
Instrumental
Real-time Java application performance monitoring. A commercial service with free development accounts.
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README
Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized.
More Information
For more information about the project, please see http://www.stagemonitor.org
Live Demo
http://stagemonitor-demo.isys-software.de
Getting Started
Check the Installation site of the wiki
Issues
If you encounter any issues or if you have a question, don't hesitate to create an issue.
Mailing List
The mailing list can be found at https://github.com/stagemonitor/stagemonitor-mailinglist
Snapshots
Use JitPack to get the latest snapshots from master. When using gradle, add the --refresh-dependencies flag to ensure you always check for an updated snapshot version.
Build Locally
To build this project locally, clone the repo and execute ./gradlew install (Linux) gradlew.bat install (Windows) to install stagemonitor to your local maven repo (~/.m2/repository/org/stagemonitor/).
Contributing
We love contributions from the community! Please read [CONTRIBUTING.md](CONTRIBUTING.md) before creating a pull request.