async-profiler
rest.li
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| async-profiler | rest.li | |
|---|---|---|
| 10 | 2 | |
| 7,112 | 2,437 | |
| 2.8% | 2.6% | |
| 8.7 | 8.4 | |
| 11 days ago | 5 days ago | |
| C++ | Java | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
rest.li
- FLaNK Stack 29 Jan 2024
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LinkedIn Adopts Protocol Buffers and Reduces Latency Up to 60%
From rest.li's github page[0] -
At LinkedIn, we are focusing our efforts on advanced automation to enable a seamless, LinkedIn-wide migration from Rest.li to gRPC. gRPC will offer better performance, support for more programming languages, streaming, and a robust open source community. There is no active development at LinkedIn on new features for Rest.li. The repository will also be deprecated soon once we have migrated services to use gRPC. Refer to this blog[1] for more details on why we are moving to gRPC.
[0] - https://github.com/linkedin/rest.li
[1] - https://engineering.linkedin.com/blog/2023/linkedin-integrat...
What are some alternatives?
jmh - https://openjdk.org/projects/code-tools/jmh
Swagger - The content of swagger.io
container-jfr - Secure JDK Flight Recorder management for containerized JVMs
Feign - Feign makes writing java http clients easier
jfr-libraries - a list of libraries that generate JFR events
Jersey - Eclipse Jersey Project - Read our Wiki:
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
Dropwizard - A damn simple library for building production-ready RESTful web services.
opentelemetry-java-instrumentation - OpenTelemetry auto-instrumentation and instrumentation libraries for Java
Retrofit - A type-safe HTTP client for Android and the JVM
junit-jfr - a JUnit 5 extension that generates JFR events
Microserver - Microserver is a Java 8 native, zero configuration, standards based, battle hardened library to run Java Rest Microservices via a standard Java main class. Supporting pure Microservice or Micro-monolith styles.