Every millisecond matters when you're in the critical path of API authentication. After two years of fighting serverless limitations, we rebuilt our entire API stack and slashed the end-to-end latency.

I have been writing production applications in Go for a few years now. I like some aspects of Go. One aspect I do not like is how easy it is to create data races in Go.

There are so many static site generators: Jekyll, Gatsby, Hexo, Hugo, Zola, Eleventy, and many more. So why did I build another one?

After using Zola for a while and hitting some problems when I tried to customize my blog, I realized something: I wanted to understand how these tools work, not just how to use them. That's how Gozzi was born.

Task automation Go library

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Eino['aino] (pronounced similarly to "I know") aims to be the ultimate LLM application development framework in Golang. Drawing inspirations from many excellent LLM application development frameworks in the open-source community such as LangChain & LlamaIndex, etc., as well as learning from cutting-edge research and real world applications, Eino offers an LLM application development framework that emphasizes on simplicity, scalability, reliability and effectiveness that better aligns with Golang programming conventions.

A simple and standalone WebDAV server.

In this article, we’re going to cover a few things that might’ve puzzled you if you’ve been running your applications, especially Go applications, in Kubernetes:

- How Kubernetes and the Linux kernel handle CPU stuff for containers
- What the Go runtime does with CPU, and whether you should bother setting GOMAXPROCS
- Which metrics are actually worth paying attention to

Maybe you’ve seen some of these metrics before while keeping an eye on your applications, but didn’t fully know what to make of them. This should help clear that up.