pprof
heaptrack
Our great sponsors
pprof | heaptrack | |
---|---|---|
12 | 19 | |
7,450 | 3,009 | |
2.5% | 3.1% | |
7.6 | 8.8 | |
1 day ago | 4 days ago | |
Go | C++ | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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
-
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)
-
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.
-
Improving the performance of your code starting with Go
github.com - google/pprof
- Proposal to Support Timestamps and Labels in Pprof Events
-
A Generic Approach to Troubleshooting
The application performances in a specific code path (e.g. gdb, pprof, …).
-
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
-
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...
[0] https://github.com/google/pprof
[1] https://github.com/go-delve/delve
-
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.
-
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.
heaptrack
-
Tracking Java Native Memory with JDK Flight Recorder
If we are talking replacing the libc allocator, then something like heaptrack is worth mentioning.
https://github.com/KDE/heaptrack
- Ask HN: Are There Viewers for Memory Layout?
-
How to Perf profile functions?
For accurate memory usage I prefer a memory profiler that overrides malloc and friends instead of the ones that probe the OS at regular intervals. You won't find memory spikes with the latter. Try heaptrack on Linux. I haven't found a good one for Windows yet.
-
What is your favourite profiling tool for C++?
I know it is not a profiler, but it is so criminally underrated that I decided to share it: https://github.com/KDE/heaptrack
-
My Rust program (Well, game) is leaking memory, 4MB/s.
If none of the above helps - I recommend heaptrack as a tool for tracking down your memory usage.
-
Lessons learned from 15 years of SumatraPDF, an open source Windows app
> memory leaks. It's surprisingly hard to find an easy to use memory leak detection tool.
I can vouch for heaptrack[1] nowadays, although it's pretty much Linux only. It's under the umbrella of KDE, but a heaptrack trace only requires a CLI app, and there is a nice Qt viewer to analyse the memory consumption.
It tracks the memory utilization at the level of malloc'd/free'd bytes. It's fine if your memory leak or other memory utilization problem is on this level. Recently I dealt with an issue, where increasing memory utilization was caused by fragmentation within the allocator. This didn't show up in heaptrack as an increasing memory utilization, but heaptrack still pointed out where most of the temporary allocations happened, leading to the culprit of the fragmentation.
[1] https://github.com/KDE/heaptrack
- Show HN: I wrote a tool in Rust for tracking all allocations in a Linux process
-
Implementing a C++ memory allocator to track our framework memory usage
This is probably what you are looking for https://github.com/KDE/heaptrack
-
Memory Leak? Free memory not being reclaimed? What is happening here
When I had this kind problems (heap related) I always use heaptrack. Take a look here for the details: https://github.com/KDE/heaptrack
- 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 ?
What are some alternatives?
gperftools - Main gperftools repository
bytehound - A memory profiler for Linux.
prometheus - The Prometheus monitoring system and time series database.
memory-profiler - A memory profiler for Linux. [Moved to: https://github.com/koute/bytehound]
jaeger - CNCF Jaeger, a Distributed Tracing Platform
dhat-rs - Heap profiling and ad hoc profiling for Rust programs.
tracy - Frame profiler
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
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.
profiler - Firefox Profiler — Web app for Firefox performance analysis
massif-visualizer - Visualizer for Valgrind Massif data files
jpegview - Fork of JPEGView by David Kleiner - fast and highly configurable viewer/editor for JPEG, BMP, PNG, WEBP, TGA, GIF and TIFF images with a minimal GUI. Basic on-the-fly image processing is provided - allowing adjusting typical parameters as sharpness, color balance, rotation, perspective, contrast and local under-/overexposure.