Optimizing Go code without a blindfold dotGo 2019 - Daniel Martí

Code available here:
https://github.com/alshdavid-edu/go-chi-api

We go through the high level of writing an HTTP server using the Chi router for Go.

Demonstrating how to test handler functions directly (without any external tools or running your server)

A bit of a breakdown on interfaces.

Any questions, feel free to leave a comment. If you'd like to see something, feel free to message me.

Thanks everyone for your support and I'll see you again next time.

Helper tool for manual Go code optimization. Contribute to cristaloleg/go-perftuner development by creating an account on GitHub.

Two commonly perceived problems of the programming language Go are that


handling errors is verbose and repetitive
parametric polymorphism is not available


This post is about the intersection of those problems
and Rob Pike’s recommendation on the former.

Things I've learned porting a 50 thousand lines of code from Java to Go

Google Groups allows you to create and participate in online forums and email-based groups with a rich experience for community conversations.

This post covers the implementation of pgreplay-go, a tool to realistically simulate captured Postgres traffic. I'll explain why existing tools didn't fit and explain some challenges in the implementation, focusing on what I learned personally from the process.

Google Groups allows you to create and participate in online forums and email-based groups with a rich experience for community conversations.

Faster, virtualized Output Formats, revised shortcodes, new return keyword, and much more …

Jean briefly describes modules and an interesting scenario called multi-module repositories. He continues by deep diving into their interesting consequences, and ways to use MVS to get around potential issues.

In this talk, we will compare Go and Elixir. These languages have similar principles but make core tradeoffs that affect when one might use them. We will specifically compare their concurrency paradigms to see what we might use when.

In this talk, we will compare Go and Elixir. These languages have similar principles but make core tradeoffs that affect when one might use them. We will specifically compare their concurrency paradigms to see what we might use when.

The Segment team's latest thinking on all things data, product, marketing, and growth.

Blast is a full text search and indexing server, written in Go, built on top of Bleve. - mosuka/blast