Golang notes – Telegram
Uncover the complexities of cross-compiling a large number of Go CLI packages statically, addressing challenges and optimization techniques for efficient and reliable builds. This article provides a detailed look at a complex Go build process.
https://blog.pkgforge.dev/cross-compiling-10000-go-cli-packages-statically
This article explores a method to accelerate shuffling operations within Go programs. The author, Daniel Lemire, demonstrates a significant performance improvement by implementing batching.
https://lemire.me/blog/2025/04/06/faster-shuffling-in-go-with-batching/
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The official Go blog recently published a blogpost detailing the use of testing.B.Loop for more precise benchmarking. It provides insights into how this feature can refine performance tests and lead to better code.
https://go.dev/blog/testing-b-loop
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This write-up from a DoltHub engineer shares their experiences developing with Go on the Windows operating system. It covers the tools, challenges, and overall workflow from a Windows-centric viewpoint.
https://www.dolthub.com/blog/2025-04-04-go-windows-developer/
Sentry provides a comprehensive overview of its error monitoring and performance tracing capabilities for Go applications. Their platform helps developers quickly identify and resolve issues in their Golang services.
https://sentry.io/for/go/
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In his latest tutorial, Jon Calhoun explains how to effectively handle operating system signals within a Go program. This is essential for creating robust applications that can shut down gracefully.
https://www.calhoun.io/using-signals-with-go/
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Security Research Labs presents a technical piece on GoLibAFL, a new tool for fuzzing Go binaries. It details how to leverage LibAFL for more effective security testing of compiled Go code.
https://www.srlabs.de/blog-post/golibafl---fuzzing-go-binaries-using-libafl
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This post from WunderGraph delves into the mechanics of sync.Pool and how it can be used to reduce memory allocations. It's a valuable resource for optimizing Go applications for high-performance scenarios.
https://wundergraph.com/blog/golang-sync-pool
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A recent publication on the Cubed.Run blog uses a creative card analogy to explain the concepts of concurrency in Go. This unique approach makes complex topics like goroutines and channels easier to understand.
https://blog.cubed.run/the-cards-of-concurrency-in-go-0d7582cecb79