Golang notes – Telegram
This guide demonstrates how to deploy a server written in Go using GitLab CI/CD pipelines and Google Cloud, streamlining the process from code integration to scalable cloud deployment. By following the article, developers can automate building, containerizing, and launching Go applications on Google Cloud, leveraging modern DevOps practices for efficient and reliable releases.

https://about.gitlab.com/blog/2025/01/28/deploy-a-server-using-go-with-gitlab-google-cloud/
Go's new sync/test package introduces a set of tools for testing concurrent code, making it easier to catch subtle race conditions and concurrency bugs in your programs. This post on the Go Blog demonstrates how the package's deterministic scheduler and testing helpers can improve the reliability of your Go tests.

https://go.dev/blog/synctest
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Luca Vallin's guide explores how to achieve comprehensive observability in Go applications using OpenTelemetry, covering logs, metrics, and traces through a unified telemetry package. By abstracting away configuration and backend integration, the guide helps developers seamlessly add monitoring and debugging capabilities to their services.

https://www.lucavall.in/blog/opentelemetry-a-guide-to-observability-with-go
The Go Blog details how to export Go functions and values to JavaScript when compiling to WebAssembly, enabling seamless interoperability between Go and web applications. This tutorial walks through the new //go:wasmimport and //go:wasmexport directives, illustrating practical use cases for building richer browser-based experiences.

https://go.dev/blog/wasmexport
Alex Edwards explains how Go 1.24's go tool directive streamlines the management of tool dependencies, replacing older approaches like tools.go files. This walkthrough demonstrates how the new system makes it easier to track, install, and update development tools alongside your Go modules.

https://www.alexedwards.net/blog/how-to-manage-tool-dependencies-in-go-1.24-plus
Go's new SwissTable implementation brings a high-performance, memory-efficient hash map to the language's runtime. In this announcement, the Go team explains how adopting SwissTable improves map iteration speed, reduces memory usage, and enhances overall performance for Go developers.

https://go.dev/blog/swisstable
Michael Stapelberg's walkthrough provides practical strategies for diagnosing and debugging hanging Go programs, from identifying goroutine leaks to using runtime profiling tools. The guide emphasizes reproducible techniques to help developers quickly pinpoint and resolve deadlocks or stalls in their code.

https://michael.stapelberg.ch/posts/2025-02-27-debug-hanging-go-programs/
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This technical analysis by jub0bs investigates the performance cost of using Go's panic and recover mechanisms for error handling. By benchmarking real-world scenarios, the post reveals the significant overhead of panics and offers recommendations for when to use them judiciously.

https://jub0bs.com/posts/2025-02-28-cost-of-panic-recover/
In this blogpost, Alex Edwards guides Go developers through the enhanced tool dependency management features introduced in version 1.24 and beyond. He demonstrates how to pin, update, and audit third-party utilities to maintain consistent and reproducible builds.

https://www.alexedwards.net/blog/how-to-manage-tool-dependencies-in-go-1.24-plus
In this tutorial, Pliutau guides developers through recreating the classic Minesweeper game in Go using the raylib-go bindings. He demonstrates how raygui handles UI elements while raylib configures the game window and detects mouse input for an authentic Minesweeper experience.

https://pliutau.com/minesweeper-in-golang-raylib/
In this guide, AppliedGo presents a comprehensive roadmap for debugging Go applications, covering everything from writing clear, test-driven code to strategic and ad-hoc logging. It also demonstrates how to leverage tools like Delve, GoTutor, and git bisect to isolate and resolve bugs effectively.

https://appliedgo.net/debug/
In this walkthrough, Akash Joshi shows how to wrap OpenAI’s Whisper speech recognition model into a streamlined command-line interface written in Go . He outlines chaining ffmpeg preprocessing steps, leveraging GoReleaser for cross-platform builds, and distributing the resulting “better-whisper” tool via Homebrew .

https://appliedgo.net/whisper-cli/
In “From Java to Go,” Philip narrates his transition from Java and Kotlin to Go, revealing dramatic gains in startup speed and resource efficiency . This article compares JVM tooling and Go’s AOT compilation, dependency management, and IDE support to demonstrate why Go empowers the team’s Distr platform on Kubernetes .

https://glasskube.dev/blog/from-java-to-go/