cli VS terraform

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

This Docker image is designed to support implementing Github Actions with Python. As of version 4.0.0., it starts with the official python docker image as the base which is a Debian OS. It specifically uses python:3-slim to keep the image size down for faster loading of Github Actions that use pyaction. On top of the base, we've installed curl gpg, git, and the GitHub CLI. We added curl and gpg because they are needed to install the GitHub CLI, and they may come in handy anyway (especially curl) when implementing a GitHub Action.

You might be interested in GitHub's cli tool, which is open source, if you want to access GitHub without running their proprietary JS code.

https://cli.github.com/

👉 Note: This script uses the GitHub CLI. So make sure you've installed that if you haven't already. Instructions here.

View on GitHub

(Context: I'm pretty thick into Nix, and have been for about four years. Most of this post is focussed on the NixOS desktop experience, so DevOps nerds, ymmv.)

Unpopular opinion: Nix is not that hard.

What's "hard" from a nix-promotion strategy is motivating people to understand why they would want the benefits it offers. Mostly because Nix, especially with home-manager, dramatically worsens UX for several day-to-day tasks, simply by violating the Law of Least Surprise every couple of hours in normal use.

I want a fully idempotent, version-locked, rewindable user environment, with a version-controlled central config, because I have half a dozen devices that, for reasons, I need to keep perfectly interchangeable with one another. Most users do not want this, for the simple fact that mutating their configs and differentiating them locally on specific machines is not a bug, but a feature.

Even more than that, it's an expectation that most software developers share as well.

Case in point: I filed a bug against the GitHub CLI last week. If any org has the scope and motivation to build software that's compatible with NixOS, an OS most of whose users are developers, it should be GitHub, which is, at least notionally, all about developers, developers, developers. A change in GH required a config format migration, which was sensibly done by opening the config .yml and rewriting it.

Of course, this breaks NixOS not just in practice but in principle. NixOS/home-manager makes config files read-only. Surprise! https://github.com/cli/cli/issues/8462

The response from GitHub was basically, "yeah, we knew this was going to happen, we mentioned it to the packagers at NixOS, but we did it anyway, because it was still the best way to proceed for us." (And they weren't wrong.)

Now, once a month is an annoyance, but I run into these problems daily. I can't imagine any sane person -- which I am not -- would persist with using it.

Why do I keep using NixOS, then? Because I am terribly and disproprotionately annoyed by small changes in my user experience, which I find disruptive to my workflow and hence threaten my success. For me, forbidding apps from mutating the config files I established for them is a selling point. Being able to version-control an idempotent declarative config for all of them at once is heaven.

Unless you're like me, you'll hate NixOS. But some were meant for Nix.

Because

To use a proper dynamic auth for ghcr.io you can create a "credential helper" and then it is supported by flux, see here: https://fluxcd.io/flux/cheatsheets/oci-artifacts/#authentication Unfortunately the "official" credential helper for ghcr.io doesn't exist. I use this simple script as a helper: https://gist.github.com/pkit/a98411d21ecc9293066f4579088187d1 Which requires gh cli to be installed.

This Docker image is designed to support implementing Github Actions with Python. As of version 4.0.0., it starts with the official python docker image as the base which is a Debian OS. It specifically uses python:3-slim to keep the image size down for faster loading of Github Actions that use pyaction. On top of the base, we've installed curl gpg, git, and the GitHub CLI. We added curl and gpg because they are needed to install the GitHub CLI, and they may come in handy anyway (especially curl) when implementing a GitHub Action.

Two CLI tools I install right away are the GitHub CLI (via brew) and the Netlify CLI (via npm).

From the second article, a minor point but possibly helpful to other here, he contrasts doing everything in the terminal with stacked commits vs going to the Github UI. If people aren't aware, Github offers a cli tool[1]. I've been using it for a few months now and am finding it does make me more productive -- it's nice to be able to open up a PR directly from my terminal. I do still use the GH UI for a lot of things, but I'll often at least start in the terminal, and it also makes the transition from terminal to browser easy as many commands support the `--web` flag open up the right page for you (eg `gh repo view --web`).

[1] https://cli.github.com/

I am not only a big fan of hashicorp terraform. I'm also one of the early adopters of it. So this is my main go-to Infrastructure as a Code tool. However all the resources I use are supported by other IaaC solutions such as AWS CloudFormation and AWS CDK. You definitely got to use one to avoid loosing the track of resources you create.

State Encryption was one of those long requested features[0] (I had it on my ideas list for years[1]) that Hashicorp didn't have much incentive to build. I don't think it has to with distancing opentofu as such, but the opentofu team prioritizing the right things that customers actually need.

[0]: https://github.com/hashicorp/terraform/issues/9556

[1]: https://github.com/captn3m0/ideas#-mars-terraform-remote-htt...

https://github.com/hashicorp/terraform/issues/34402

I’m not a lawyer and have no idea who is right or wrong but I understand why Hashicorp is scrutinizing this.

Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

For example, integrating Terraform for infrastructure as code (IaC) into the IDP can streamline updates and rollbacks.

In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.

Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption, which can be called microservices if you have a lot of them. And often microservices use advanced networking options such as a service mesh instead of just the native private network offered by a VPC.