Pprof Alternatives
Similar projects and alternatives to pprof
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minitrace
Simple C/C++ library for producing JSON traces suitable for Chrome's built-in trace viewer (about:tracing).
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parca
Continuous profiling for analysis of CPU, memory usage over time, and down to the line number. Saving infrastructure cost, improving performance, and increasing reliability.
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OPS
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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tokio
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
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fluent-bit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX and Windows
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opentracing-javascript
OpenTracing API for Javascript (both Node and browser). 🛑 This library is DEPRECATED!
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Reviews and mentions
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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...
Go has pprof (https://github.com/google/pprof), which I've heard good things about --- and, the pprof data model was one of the influences I looked at when designing the Tokio console's wire format. But, I'm not sure if pprof has any similar UIs to the one we've implemented for the Tokio console; and I haven't actually used it all that much.
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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.
Would pprof's visualizations (especially the tree graph) work for you?
Stats
google/pprof is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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