kafkaflow
async-profiler
| kafkaflow | async-profiler | |
|---|---|---|
| 3 | 10 | |
| 579 | 7,126 | |
| 1.6% | 1.2% | |
| 8.6 | 8.7 | |
| 3 days ago | 3 days ago | |
| C# | C++ | |
| MIT License | Apache License 2.0 |
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kafkaflow
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?
ikvm - A Java Virtual Machine and Bytecode-to-IL Converter for .NET [Moved to: https://github.com/ikvmnet/ikvm]
jmh - https://openjdk.org/projects/code-tools/jmh
ikvm - A Java Virtual Machine and Bytecode-to-IL Converter for .NET
container-jfr - Secure JDK Flight Recorder management for containerized JVMs
flameshow - A terminal Flamegraph viewer.
jfr-libraries - a list of libraries that generate JFR events
Confluent's .NET Client for Apache KafkaTM - Confluent's Apache Kafka .NET client
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
bigcapital - 💵 Bigcapital is financial accounting with intelligent reporting for faster decision-making, an open-source alternative to Quickbooks, Xero, etc.
opentelemetry-java-instrumentation - OpenTelemetry auto-instrumentation and instrumentation libraries for Java
minum - A minimalist Java web framework built from scratch
junit-jfr - a JUnit 5 extension that generates JFR events