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A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team

In this tutorial, we are going to build a TypeScript project from scratch. We’ll go from designing in Excalidraw to using TDD to deploying to npm.

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Tokio is a runtime for writing reliable asynchronous applications with Rust. It provides async I/O, networking, scheduling, timers, and more.

The good news is you don't have to master complex theoretical optimizations to get meaningful speed boosts…

As a maintainer of the GCC register allocator (RA), I naturally have a keen interest in the register allocators used in various industrial compilers.

Read writing from Ben Johnson on Medium. Writing databases and distributed systems in Go. Every day, Ben Johnson and thousands of other voices read, write, and share important stories on Medium.

Render is a unified cloud to build and run all your apps and websites with free TLS certificates, global CDN, private networks and auto deploys from Git.

By profiling Go applications at runtime, the Go compiler can make better optimization decisions in subsequent builds, leading to substantial improvements in ...

Golang - Soham Kamani

Get insights into building modern Go applications from the best Go veterans. Our blog covers best practices, tips, and tricks for creating high-performance, advanced Go apps.

Drive in the true real-time functionality to your app with WebSockets in Go. In out post, we explain what WebSockets are and how to add them to your app.

In this article, I'll describe how I implemented German string and the challenges of doing so in Rust. Specifically, I'll examine how to enable shared ownership for such data structure. Providing unique ownership is relatively trivial, and there is already a nicely written tutorial from the Rustonomicon teaching you how to [implement a `Vec`], which is not much different from a `String`. But first, let's talk about the concept of German string.

How to write a generic collection type in Go: 2 wrong ways and the right way.

An exploration of Go's adoption at Google from the perspective of an SRE and early adopter, detailing the challenges and milestones of integrating Go into production systems.

Videos from all of our great GopherCon UK speakers, recorded in August 2024.

Map is a built-in type that acts as a key-value storage. Unlike arrays where you’re stuck with keys as increasing indices like 0, 1, 2, and so on, with maps, the key can be any comparable type.

Welcome to Stream. If you’re reading the public version of this consider checking out our careers page. We’re currently hiring for Go roles of entry to principal/director levels.

Due to recent work circumstances, I’ve been exposed heavily to reading documentation written in Chinese (中文文档). As someone who grew up in…

Identify and fix common JavaScript memory leaks (Node.js and Deno.js)

I share the story of a frustrating debugging journey with a Rust application that was migrated to Kubernetes. Everything seemed fine until a suspected memory leak caused our application to scale uncontrollably. I dove deep into tracing memory usage with eBPF, heaptrack, and jemalloc profiling tools. The real twist came when I discovered that the memory leak was a phantom menace - a misinterpretation of Kubernetes memory metrics rather than a genuine issue. This post details the steps I took, the tools I used, and the lessons I learned about problem-solving, metric accuracy, and effective debugging in containerized environments.

Shows how much the performance of Go has improved from version 1.0 through to 1.22 (including PGO) -- in its compiler, runtime, and libraries.

In the One Billion Row Challenge, the task is to write a program capable of reading an 1-billion-line file (with around 13GB), process and aggregate temperature readings from various weather stations, and present a report of the results on console. In this article, I share my experience attempting the challenge with Golang, providing the details of how I achieved 1.96 seconds.

Advice for new Go programmers