pprof
mirage
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pprof | mirage | |
---|---|---|
12 | 32 | |
7,423 | 2,425 | |
2.1% | 0.9% | |
7.6 | 8.7 | |
3 days ago | 9 days ago | |
Go | OCaml | |
Apache License 2.0 | ISC License |
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.
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.
mirage
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Gokrazy – Go Appliances
Interesting, and thanks.
I didn't know about those. I kind of thought you may have used MirageOS, which I had read about earlier. It is done in OCaml.
- Mirage – A programming framework for building type-safe, modular systems
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What's Zig got that C, Rust and Go don't have? [video]
Unix system programming in OCaml (2014)
https://ocaml.github.io/ocamlunix/
"MirageOS is a library operating system that constructs unikernels for secure, high-performance network applications across a variety of cloud computing and mobile platforms."
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PostgreSQL reconsiders its process-based model
That was/is part of the promise of the whole unikernel thing, no?
https://mirage.io/ or similar could then let you boot your database. That said, it's not really taken off from what I can tell, so I'm guessing there's more to it than that.
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Writing an OS in Rust to run on RISC-V
MirageOS is not Rust, but in the ballpark!
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Container runtime as a static binary?
OCaml MirageOS? https://mirage.io/
- OCaml 5.0 Multicore is out
- Ask HN: Operating Systems built with functional languages?
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Is there an operating systems that is a runtime of a programming language?
MirageOS is a runtime for OCaml to create unikernels. They describe themselves as "library operating system". Probably not quite what you were asking for, but I think it's quite interesting for certain use cases (e.g. running services as standalone unikernels in VMs or embedded devices instead of "traditional" programs on top of a general purpose OS).
What are some alternatives?
gperftools - Main gperftools repository
unikraft - A next-generation cloud native kernel designed to unlock best-in-class performance, security primitives and efficiency savings.
prometheus - The Prometheus monitoring system and time series database.
oberon-riscv - Oberon RISC-V port, based on Samuel Falvo's RISC-V compiler and Peter de Wachter's Project Norebo. Part of an academic project to evaluate Project Oberon on RISC-V.
jaeger - CNCF Jaeger, a Distributed Tracing Platform
Carp - A statically typed lisp, without a GC, for real-time applications.
tracy - Frame profiler
linuxkit - A toolkit for building secure, portable and lean operating systems for containers
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.
Mezzano - An operating system written in Common Lisp
massif-visualizer - Visualizer for Valgrind Massif data files
console - a debugger for async rust!