jmh
opentelemetry-java-instrumentation
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jmh | opentelemetry-java-instrumentation | |
---|---|---|
26 | 12 | |
2,006 | 1,717 | |
4.6% | 3.4% | |
6.6 | 9.9 | |
19 days ago | 2 days ago | |
Java | Java | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
jmh
- Experimenting with GC-less (heap-less) Java
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
JMH for benchmarks
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Scala collections benchmark - revisited
I would recommend using JMH instead.
- What are some advantages to Java devs learning assembly?
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Is calling a method with reflection slower than calling a method normally? If so, by how much?
Reflection is probably very roughly between 10 and 1000 times slower. Why don't you measure it yourself using JMH?
- I benchmarked kotlin rust and go. The results will shock you , or not.
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Need help navigating the Java ecosystem (coming from C++)
Aleksey Shipilev is another such leader, whom is especially knowledgeable about the internals of the JVM. His writings are invaluable. He is (was) the lead of the Java microbenchmark framework (JMH} which is how one would write small performance experiments in Java, and learn what really makes a difference or now.
- Are Long better than Integer as keys for a Map?
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Threads vs Coroutines - ParallelMap Performance
In the last episode we implemented a parallelMap operation using streams, raw threads, a threadpool with futures, and coroutines. At first glance the raw threads was quickest, followed by futures, coroutines and then streams. In this, part 56 of an exploration of where a Test Driven Development implementation of the Gilded Rose stock control system might take us in Kotlin, we investigate the performance of the different functions further, in particular digging down into why coroutines seem to be slow and finding a way to speed them up. We also find a way to use a particular ForkJoinPool to run the streams code, making it as fast as the others (bar the raw threads). Frankly we only use very rough benchmarks here, with no statistical testing except 'it looks like'. That's OK for gross differences, but is highly suspect when deciding which of two similarly performant approaches is faster. For that check out JMH and you could watch my video from KotlinConf 2017
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Just another way to run JMH benchmark with Eclipse
A few months ago, we started to use JMH in our project to test and find performance issues. The tool provides multiple modes and profilers, and we found this useful for our purposes.
opentelemetry-java-instrumentation
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OpenTelemetry Journey #01 - Important concepts
Java
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Monitoring Spring Boot with OpenTelemetry
wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar
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Launch HN: Odigos (YC W23) – Instant distributed tracing for Kubernetes clusters
We are actually able to handle the long tail of tracing by leveraging the amazing open source community. For languages like Java we use the automatic instrumentation created by the OpenTelemetry community which is really great and support ton of libraries, you can see a list of supported libraries here: https://github.com/open-telemetry/opentelemetry-java-instrum...
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End-to-end tracing with OpenTelemetry
As in Python, it creates spans for every method call and HTTP entry point. It also instruments JDBC calls, but we have a Reactive stack and thus use R2DBC. For the record, a GitHub issue is open for adding support.
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OpenTelemetry Java: Getting Started Guide
Download the latest Java agent ‘JAR’ from the official repo on GitHub and copy the opentelemetry-javaagent-all.jar file to your project.
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Tracing MongoDB calls with OpenTelemetry
Java OpenTelemetry MongoDB library for Java applications
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Implementing Distributed Tracing in a Java application
Download the latest version of the Java JAR agent, and copy jar agent file in your application code. We have placed the agent under the folder named agents.
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Best performance monitoring tools?
OpenTelemetry and Java Flight Recorder (JFR) cover most bases. Use the OpenTelemetry Java agent if you want auto-instrumentation or just the APIs if you want to do your own instrumentation.
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Monitor Tomcat Java application with OpenTelemetry and SigNoz
Download the latest Java JAR agent.
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Everything you need to know about OpenTelemetry Java auto-instrumentation 👨🏽💻
OpenTelemetry provides three repositories to instrument applications. The opentelemetry-java-instrumentation repo contains the code for auto-instrumentation of Java applications.
What are some alternatives?
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events [Moved to: https://github.com/async-profiler/async-profiler]
spring-petclinic - A sample Spring-based application
OpenJ9 - Eclipse OpenJ9: A Java Virtual Machine for OpenJDK that's optimized for small footprint, fast start-up, and high throughput. Builds on Eclipse OMR (https://github.com/eclipse/omr) and combines with the Extensions for OpenJDK for OpenJ9 repo.
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events
opentelemetry-java - OpenTelemetry Java SDK
go - The Go programming language
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
opentelemetry-java-contrib