I hadn’t put any thought into using the github or gitlab CLI for a long time, but both are pretty useful. We are using standard github for projects and also a self installed gitlab. Both CLIs are golang programs.

First we need to authenticate.

⋊> ◦ gh auth login                                                         

? What account do you want to log into? GitHub.com
? You're already logged into github.com. Do you want to re-authenticate? Yes
? What is your preferred protocol for Git operations? SSH
? Upload your SSH public key to your GitHub account? /Users/niko/.ssh/id_rsa_m1.pub
? Title for your SSH key: GitHub CLI
? How would you like to authenticate GitHub CLI? Login with a web browser

! First copy your one-time code: 4024-84CC
Press Enter to open github.com in your browser... 
✓ Authentication complete.
- gh config set -h github.com git_protocol ssh
✓ Configured git protocol

✓ Uploaded the SSH key to your GitHub account: 
✓ Logged in as hellonico

gh extension install redraw/gh-install  

https://pkg.go.dev/github.com/cli/go-gh#section-readme

We recently deployed a Kubernetes cluster based on KubeSpray at a client. Since there is no out of the box cloud storage, one of the first task to clear for the cluster deployment is the data persistence.

We gave sshfs a try, and then thought we could actually also manage the distributed persistence using Goofys. Goofys allows you to simply mount an AWS S3 bucket as a file system. In effect, all the S3 data is synchronized between the different nodes of the cluster.

Thanks to the (very friendly) reviewers team at Manning I just got my hands on the newly released Shipping Go, and first of all I had a great time reading from start to finish which hasn’t happened in a long time as far as IT books go.

I was actually pleasantly surprised.

• the amount of code in the book is kept to a minimum
• the focus is on keeping the product to a minimal set of features,
• shows how to push a quality code out,
• and to a various set of plateforms and environments (and why both production and developpers environment should be kept as close as possible to each other )

The book focuses and explores the lifecycle of go projects in particular, but the techniques presented can be easily reused in the scope of other languages.

Autumn is coming !

	A piece of magic is a hat - Martha Sliter

Heart Hat

Space Hat

Camera Hat

Flower Hat

Pumpkin Hat

If you do analytics, you probably usually go straight for Python Notebooks, and create a bunch of graphs to visualize the analysed data.

When you don’t want to show that data to someone outside, and hide implementation details, a nice alternative, and my de facto favourite, is to go and use IcCube.

As an exercice, I was teaching how to get ready and graph quickly with IcCube, using air quality data.