bytehound
pprof
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bytehound | pprof | |
---|---|---|
16 | 12 | |
3,852 | 7,423 | |
- | 2.1% | |
3.8 | 7.6 | |
9 months ago | 3 days ago | |
C | Go | |
GNU General Public License v3.0 or later | 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.
bytehound
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My Rust program (Well, game) is leaking memory, 4MB/s.
I've found bytehound helpful for tracking memory leaks: https://github.com/koute/bytehound
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Show HN: I wrote a tool in Rust for tracking all allocations in a Linux process
Interesting approach. How is performance compared to something like https://github.com/koute/bytehound
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Introducing alloc-track: Precise memory profiling by stack trace and thread.
https://github.com/koute/bytehound is another tool in this space to be aware of
- Out of the loop: WASM for non-web projects
- Which gui crate would you suggest for a simple program?
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Implementing a C++ memory allocator to track our framework memory usage
Ot sure if it will fit your needs but maybe bytehound is worth looking into.
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Memory leak in a long running process.
I had a great success recently with https://github.com/koute/bytehound/issues/86
- Hi, I’m new in rust, I have some expirience with c# and its classes ans structs. I can’t find information about that is happend with struct in rust when I pass it to function argument. Are there some copy effect ?
- Does rust have a visual analysis tool for memory and performance like pprof of golang?
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Memory freed but not immediately
Try using this: https://github.com/koute/bytehound
pprof
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Profiling Caddy
The pprof format is not tied to Go. From my understanding, it's used within Google across multiple languages. The format is defined in the pprof repository[0], and the visualization tool is source-language agnostic. I've seen libraries in numerous languages (e.g. Python, Java) to publish profiles in pprof format. This is an indicator the pprof format has become de-facto. Grafana Pyroscope[1] is a tool that's capable of parsing the pprof format, agnostic to the source programming language, and has instructions for Go, Java, Python, Ruby, node.js, Rust, and .NET.
My understanding is that you're searching for a combination of the profiles, metrics, and tracing. Caddy supports all 3.
[0] https://github.com/google/pprof/blob/main/doc/README.md
[1] https://grafana.com/docs/pyroscope/latest/
metrics and tracing need to be manually enabled (for now, perhaps)
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Why So Slow? Using Profilers to Pinpoint the Reasons of Performance Degradation
Because we couldn't identify the issue using the results we got from Callgrind, we reached for another profiler, gperftools. It's a sampling profiler and therefor it has a smaller impact on the application's performance in exchange for less accurate call statistics. After filtering out the unimportant parts and visualizing the rest with pprof, it was evident that something strange was happening with the send function. It took only 71 milliseconds with the previous implementation and more than 900 milliseconds with the new implementation of our Bolt server. It was very suspicious, but based on Callgrind, its cost was almost the same as before. We were confused as the two results seemed to conflict with each other.
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Improving the performance of your code starting with Go
github.com - google/pprof
- Proposal to Support Timestamps and Labels in Pprof Events
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A Generic Approach to Troubleshooting
The application performances in a specific code path (e.g. gdb, pprof, …).
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Does rust have a visual analysis tool for memory and performance like pprof of golang?
pprof is https://github.com/google/pprof, it's a very useful tool in golang , and really really really convenient
- pprof - tool for visualization and analysis of profiling data
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Tokio Console
Go also has pretty good out of the box profiling (pprof[0]) and third-party runtime debugging (delv[1]) that can be used both remotely and local.
These tools also have decent editor integration and can be use hand in hand:
https://blog.jetbrains.com/go/2019/04/03/profiling-go-applic...
https://blog.jetbrains.com/go/2020/03/03/how-to-find-gorouti...
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Cats and Clouds – There Are No Pillars in Observability with Yoshi Yamaguchi
And what we do in Google Cloud is that we still use the pprof. But it's a kind of forked version of the pprof because the visualization part is totally different. So we give that tool as the Cloud Profiler. So that is the product name. And then, the difference between the pprof and a Cloud Profiler is that Cloud Profiler provides the agent library for each famous programming language such as Java, Python, Node.js, and Go. And then what you need to do is to just write 5 to 10 lines of code in a new application. That launches the profile agent in your application as a subsidiary thread of the main thread. And then, that thread periodically collects the profile data of the application and then sends that data back to Google Cloud and the Cloud Profiler.
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Is there a way I can visualize all the function calls made while running the project(C++) in a graphical way?
gprftools (https://github.com/gperftools/gperftools) can be easily plugged in using LD_PRELOAD and signal, and has nice go implemented visualization tool https://github.com/google/pprof.
What are some alternatives?
memory-profiler - A memory profiler for Linux. [Moved to: https://github.com/koute/bytehound]
gperftools - Main gperftools repository
heaptrack - A heap memory profiler for Linux
prometheus - The Prometheus monitoring system and time series database.
goawk - A POSIX-compliant AWK interpreter written in Go, with CSV support
jaeger - CNCF Jaeger, a Distributed Tracing Platform
heappy - heap profiler for rust
tracy - Frame profiler
pprof-rs - A Rust CPU profiler implemented with the help of backtrace-rs
parca - Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
leakdice-rust - Rust re-implementation of leakdice
massif-visualizer - Visualizer for Valgrind Massif data files