opentelemetry-java-instrumentation
async-profiler
Our great sponsors
opentelemetry-java-instrumentation | async-profiler | |
---|---|---|
12 | 10 | |
1,717 | 7,112 | |
3.4% | 2.8% | |
9.9 | 8.7 | |
4 days ago | 10 days ago | |
Java | C++ | |
Apache License 2.0 | 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.
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.
async-profiler
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JVM Profiling in Action
We'll use async-profiler and flame graphs for profiling. To simplify the process, we'll run the code using JBang.
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The Return of the Frame Pointers
JIT'ed code is sadly poorly supported, but LLVM has had great hooks for noting each method that is produced and its address. So you can build a simple mixed-mode unwinder, pretty easily, but mostly in process.
I think Intel's DNN things dump their info out to some common file that perf can read instead, but because the *kernels* themselves reuse rbp throughout oneDNN, it's totally useless.
Finally, can any JVM folks explain this claim about DWARF info from the article:
> Doesn't exist for JIT'd runtimes like the Java JVM
that just sounds surprising to me. Is it off by default or literally not available? (Google searches have mostly pointed to people wanting to include the JNI/C side of a JVM stack, like https://github.com/async-profiler/async-profiler/issues/215).
- FLaNK Stack 29 Jan 2024
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Tracking Java Native Memory with JDK Flight Recorder
debugging native calls in itself is also painful. I have switched to using async-profiler (https://github.com/async-profiler/async-profiler) instead of JFR for most of my usecases.
A. it tracks native calls by default
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Show HN: Javaflame – Simple Flamegraph for your Java application
https://github.com/async-profiler/async-profiler#flame-graph...
Ok, Windows is not supported. But IntelliJ made a fork which works on Windows.
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Lettuce (Redis) + Mybatis (MySQL) take up most of the CPU in production - Is it normal? Did you observe that in your environment? Any ways to optimize it?
Hi, today I used async-profiler to check the CPU usage of my Spring Boot app (just a normal backend) in production. Surprisingly, Lettuce (Redis) + Mybatis (MySQL) take up most of the CPU time. I am not talking about wall time here, but CPU time, since I know database requests need to wait for milliseconds and thus wall time will be very long. Therefore, I wonder:
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A question about Http4s new major version
You can use async-profiler to see what is happening under the hood.
- Reducing code size in (Rust) librsvg by removing an unnecessary generic struct
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what is your favorite programming trick/tool that not many People know about?
I have used visual vm quite a bit. https://github.com/async-profiler/async-profiler is also amazing... Throw the binary on the system and fire it up. It also profiles down into native code as well if you do that kind of thing.
What are some alternatives?
spring-petclinic - A sample Spring-based application
jmh - https://openjdk.org/projects/code-tools/jmh
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
container-jfr - Secure JDK Flight Recorder management for containerized JVMs
opentelemetry-java - OpenTelemetry Java SDK
jfr-libraries - a list of libraries that generate JFR events
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events [Moved to: https://github.com/async-profiler/async-profiler]
junit-jfr - a JUnit 5 extension that generates JFR events
jfr-streaming - Library for streaming Java Flight Recording (JFR) files from local or remote JVMs