Metrics
:chart_with_upwards_trend: Capturing JVM- and application-level metrics. So you know what's going on. (by dropwizard)
JavaMelody
JavaMelody : monitoring of JavaEE applications (by javamelody)
Metrics | JavaMelody | |
---|---|---|
2 | 3 | |
7,842 | 2,996 | |
0.0% | 0.1% | |
9.4 | 7.9 | |
2 days ago | 27 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Metrics
Posts with mentions or reviews of Metrics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-24.
- Dropwizard 2.1.0 has been released
-
Metriki: a client-aggregate metrics library ported from Dropwizard Metrics
I have been a loyal user of Java's Dropwizard Metrics library. And it's the most important missing part when our team writing a large-scale rust application. So I decide to port the library to Rust: Metriki
JavaMelody
Posts with mentions or reviews of JavaMelody.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-28.
- JavaMelody 2.0.0, Jakarta EE 9 compatible
-
Need performance debugging advice.
Apart from the good answers here from others, you might have to investigate other sources of the bottleneck such as locks / synchronized, database connections or threads in a pool running out. If it is a Java/JakartaEE application you could try JavaMelody for monitoring.
-
Top 13 open source APM tools in 2021
💻 GitHub
What are some alternatives?
When comparing Metrics and JavaMelody you can also consider the following projects:
Glowroot - Easy to use, very low overhead, Java APM
prometheus - The Prometheus monitoring system and time series database.
Kamon - Distributed Tracing, Metrics and Context Propagation for applications running on the JVM