Write a Kubernetes Ready Service with Go

if you have ever tried Go, you probably know that writing services with Go is an easy thing. Yes, we really need only few lines to be able to run http service. But what do we need to add if we want to prepare our service for production? Let’s discuss it by an example of a service which is ready to be run in Kubernetes.

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Watch on YouTube

The Ultimate Guide to Writing Dockerfiles for Go Web-apps

You probably want to use Docker with Go, because:

1. You have to work with different versions of Go on the same machine.

2. You need exact, reproducible, shareable and deterministic environments for development as well as production.

3. You need a quick and easy way of building and deploying a final compiled binary.

4. You might want to get started quickly (anyone with Docker installed can start coding right away without setting up any other dependencies or GOPATH variables).

Well, you’ve come to the right place. READ MORE

Define configuration schema and Create go files, A wrapper over viper.

Elasticsearch query examples with Golang

Queries in Elastic differ quite a lot from standard (No)SQL ones. Even though the end result is pretty much the same (get all from table A, order by column B,C desc where column D like ‘E’) and you could easily draw a line between those two, the complexity of queries in Elastic is way much higher compared to SQL ones.

Create and manage MacOS LaunchAgents using Go Blog Post

So just how fast are channels anyway?

The speed of channels isn’t really the point, but I couldn’t help but wonder how fast they are. So I wrote a benchmark!

Phone Normalizer Exercise Videos

JustForFunc #27 - two ways of merging N channels

An article aimed at beginners to understand how to compose more complex packages, beyond making the usual “one package - one binary” ones. You can check it out here.

Instrumenting a Buffalo Application with New Relic - Blog Post

Write your HTTP application in Go once, deploy it everywhere (on-premise & AWS Lambda supported)

Usage

Just call gluo.ListenAndServe instead of http.ListenAndServe.

package main

import (
        "github.com/imdario/gluo"
        "net/http"
)

func handler(w http.ResponseWriter, r *http.Request) {
        w.Write([]byte("Hello from Gluo"))
}

func main() {
        gluo.ListenAndServe(":3000", http.HandlerFunc(handler))
}

AWS Blog

Buffalo Blog https://blog.gobuffalo.io/buffalo-v0-10-3-released-d871076013d1

https://golangbot.com/panic-and-recover/

Colly - Fast and Elegant Scraping Framework for Gophers.

With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving.

Features:

Clean API
Fast (>1k request/sec on a single core)
Manages request delays and maximum concurrency per domain
Automatic cookie and session handling
Sync/async/parallel scraping
Caching
Automatic encoding of non-unicode responses
Robots.txt support
Google App Engine support

Gophercises.com - coding exercises for budding gophers

Gophercises is a FREE course that will help you become more familiar with Go while developing your skills as a programmer. In the course we will build roughly 20 different mini-applications, packages, and tools that are each designed to teach you something different.

Datacol is a control layer on top of cloud(AWS/GCP), to provide Heroku like experience with power of Kubernetes under the hood

More: https://www.datacol.io/

Github : https://github.com/datacol-io/datacol

https://github.com/covrom/distchan

Let me explain my setup to keep backups of my repositories on my own server.

jorin.me/automating-github-backup-with-ghbackup