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

https://github.com/pioz/tvdb

Learn how to use channels to model your data flow by building a web crawler in Go.

jorin.me/use-go-channels-to-build-a-crawler

Bulldog is an amazing hunting dog that checks for you a list of URLs and warns you by email if one of them returns a http code that is not 200.

https://github.com/pioz/bulldog

https://golangbot.com/error-handling/

A program that supports concurrency can carry out several operations at the same time. That’s especially important on today’s multi-core computer processors. A program that uses 4 cores at once could theoretically run almost 4 times as fast (well, for certain operations). But programs without concurrency support can usually only use a single core, which lets a lot of processing power go to waste.

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