awesome-gitops VS atlantis

https://github.com/weaveworks/awesome-gitops but also, like, a shell script?

There are books (The Path to GitOps, GitOps and Kubernetes or GitOps Cloud-native Continuous Deployment), whitepapers, and more blog posts than we can manage to count but let us elaborate on the GitOps purpose by taking a quick look on how things evolved in the last few years.

Websites such as awesome-gitops, which was launched by Weaveworks, or gitops.tech, which was put together by INNOQ employees, provide an introductory overview of the available tools. When you take a closer look, you will see that the listed tools can be used to perform a wide variety of tasks related to implementing GitOps, and of course they also differ from one another in terms of their adoption, maturity, and how actively they are maintained. This article identifies three categories from the various use cases: Tools for Kubernetes, supplementary tools, and tools close to infrastructure. In addition, we compiled a table that summarizes the tools and their properties. The tables also contain various Git and GitHub-based metrics (current as of February 2021) that allow you to better assess their adoption, maturity, and how actively they are maintained.

huge fan of k8s. drop what you're doing & use a cross-system object-storage/"apiserver" & control-loops to automate everything; embrace desired state management & thank me latter. but, Heroku &al have a lot of value left.

there's just not that many folk trying to tame deploys on k8s via gitops. flux2 is the rage, it's all over the alpha geek's efforts[1], but it's usually used by someone carefully authoring a fairly complex Helm file, then building out a significant Flux2 HelmRelease object (ex: [2]).

there's a bunch of other tools[3], & i'm frankly not familiar enough. but this idea of having a bunch of source that can deploy itself, simply, is still extremely rare even among the alpha-geek #gitops types. i'm sure some of these tools better match the simplicity of the Heroku model, corresponding branches to environments, which makes so so much sense, but so far i feel like such attempts are still basically unknown.

heroku's really simmered it down to something that made extremely natural sense. huge props to that. too too much of this effort had to go into creating buildpacks & supporting language environments very very carefully very actively, that ability to stealth-containerize an app & not even notice is so much of the special sauce that makes this a hard, hard & eternal problem (because langauges/envs keep changing). there's still a lot of ease of use to Heroku that's potentially will be underrated and/or lost by the oncoming generations. i have high respect for how operateable Heroku is.

[1] https://github.com/k8s-at-home/awesome-home-kubernetes

[2] https://github.com/onedr0p/home-cluster/blob/main/cluster/ap...

[3] https://github.com/weaveworks/awesome-gitops#tools

None of these are a replacement of Terraform Cloud (recently rebranded to HCP Terraform). For example, when you create a PR, it could affect multiple workspaces. The new experimental version of TFC/TFE (I refuse to call it HCP!) implements Stacks, which is something like a workflow, and links one workspace output to other workspace inputs. None of the open-source solutions, including the paid Digger [0], support this - only the paid one, such as Spacelift [1] (which is the closest to TFC if you ask me). Having a monorepo of Terraform is a common design pattern, so, if I change an embedded module, it could trigger changes it many workspaces. As far as I know, Atlantis [2] can't really help in this case.

By the way, the reason I singled-out Spacelift is due to its quality, and the great Terraform provider it has. Scalr [3], for example, has a really low-quality Terraform provider. I extensively use the hashicorp/tfe provider to manage TFC itself.

[0]: https://digger.dev/

[1]: https://spacelift.io/

[2]: https://www.runatlantis.io/

[3]: https://www.scalr.com/

Atlantis is a pull request automation tool that works well with plain Terraform right away. But what if we're already using Terramate to generate Terraform code?

Atlantis automates reviewing and deploying Terraform via pull requests, streamlining collaboration and ensuring consistency across Terraform deployments.

For example, Atlantisgo for Terraform, Zapier’s Kubechecks for Argo CD, Quizlet’s GitHub action all do something similar to this. But a generic, extensible tool for IaC providers doesn’t seem to exist. Additionally, many of them require exposing your Kubernetes cluster or other infrastructure to third-party access, webhooks, etc.

Our first attempt was to introduce other engineering teams to Terraform - the Platform team was already using it extensively with Terragrunt, and using Atlantis to automate plan and apply operations in a Git flow to ensure infrastructure was consistent. We'd written modules, with documentation, and an engineer would simply need to raise a PR to use the module and provide the right values, and Atlantis (once the PR was approved by Platform) would go ahead and set it up for them.

Alternatively, you can look at solutions like Atlantis or spacelift.

Atlantis: https://www.runatlantis.io/

Looking at the commits at https://github.com/runatlantis/atlantis, it looks like 1.6.5. Am I right?

We use Atlantis [0] for CI/CD automation of Terraform pull requests to a centralized repository. It's pretty good too, especially for a self-hosted solution. I can't see how Terraform Cloud's costs would be justifiable for us without a custom contract.

[0] https://www.runatlantis.io/