async-profiler
opentelemetry-java
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async-profiler | opentelemetry-java | |
---|---|---|
10 | 5 | |
7,112 | 1,839 | |
2.8% | 3.0% | |
8.7 | 9.7 | |
11 days ago | 6 days ago | |
C++ | Java | |
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.
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.
opentelemetry-java
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Prometheus JMX Exporter for Java17
After doing some research it appears this class references internal packages and therefore "makes it unusable for modern Java apps" (https://github.com/prometheus/client_java/issues/533 , https://github.com/open-telemetry/opentelemetry-java/issues/4192)
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Python in SRE?
For monitoring: If you want to go the open source route, the open telemetry ecosystem is booming. You could use the open telemetry java agent along with their collector, and then use Elastic APM, which could give you a good starting point. Here is a small example project I found on github that was fun to play around with and explore the capabilities of a setup like this: https://github.com/riferrei/otel-with-apache-pulsar
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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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Everything you need to know about OpenTelemetry Java auto-instrumentation 👨🏽💻
opentelemetry-java - contains components for manual instrumentation as well as the API and SDK.
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Everything you need to know about OpenTelemetry Java agent
opentelemetry-java This repo is the main OpenTelemetry Java SDK and provides components for manual instrumentation. Top-level components include OpenTelemetry API, extensions, SDK, bridge layers for OpenTracing and OpenCensus.
What are some alternatives?
jmh - https://openjdk.org/projects/code-tools/jmh
Zabbix - Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.
container-jfr - Secure JDK Flight Recorder management for containerized JVMs
opentelemetry-java-instrumentation - OpenTelemetry auto-instrumentation and instrumentation libraries for Java
jfr-libraries - a list of libraries that generate JFR events
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
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
otel-with-apache-pulsar - Example of application that produces and consumes events to/from Apache Pulsar. Traces from the transactions are captured using OpenTelemetry and sent to Elastic Observability.
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