Flux VS terraform

Right. Flux was a handy little tool[1] that sync'd yaml manifests in git repos to live clusters. The concept was fascinating, and the tool was well done--small and efficient. Easy to learn.

In 2019, they announced they'd be "merging" with argocd[2]. It seems the merge never really took place, and after that they deprecated flux and announced flux2[3].

The sudden changes of course were a little confusing and perhaps not too well communicated.

1: https://github.com/fluxcd/flux

If you are looking at multiple instances of Flux on a cluster which is unmaintained, then most likely you are looking at Flux v1 which is the legacy version and users are all recommended to migrate to the new Flux v2 that has the feature of multiple git repositories and supporting to allow multiple syncs or even multiple tenants.

CI/CD: Tekton Flux

Use ArgoCD or Flux for Kubernetes, and Serverless Stack for your serverless Lambda applications.

HybridK8s Droid - Intelligence foor your favourite Delivery Platform Devtron - Software Delivery Workflow for Kubernetes Skaffold - Easy and Repeatable Kubernetes Development Apollo - Apollo - The logz.io continuous deployment solution over kubernetes Helm Cabin - Web UI that visualizes Helm releases in a Kubernetes cluster flagger - Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments) Kubeform - Kubernetes CRDs for Terraform providers https://kubeform.com Spinnaker - Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence. http://www.spinnaker.io/ werf - GitOps tool to deliver apps to Kubernetes and integrate this process with GitLab and other CI tools Flux - GitOps Kubernetes operator Argo CD - Declarative continuous deployment for Kubernetes Tekton - A cloud native continuous integration and delivery (CI/CD) solution Jenkins X - Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Tekton, Knative, Lighthouse, Skaffold and Helm KubeVela - KubeVela works as an application delivery control plane that is fully decoupled from runtime infrastructure ksonnet - A CLI-supported framework that streamlines writing and deployment of Kubernetes configurations to multiple clusters CircleCI - A cloud-based tool that helps build continuous integration and continuous delivery pipelines to Kubernetes.

Does a tool like this exist? I am aware of the argoCD image updater which is similar but not quite what I’m looking for, and am aware that flux has an old feature request for this https://github.com/fluxcd/flux/issues/2711

The blog post by Weaveworks, which coined the term GitOps in 2017, also names the first GitOps operator: Flux. In the meantime, this has been completely rewritten as Flux v2. In addition to Flux and Flux v2, the associated project "Flux" develops other components. Weaveworks has now handed the project over to the Cloud Native Computing Foundation (CNCF). By now, the project is in the second maturity level: incubator phase.

Here's our GitHub for Weave Flux and an overview of GitOps

Looks really neat. We have a not-super-trivial rails app that I want to move to docker one day, but kinda scared to make the jump. We're already using docker for development, plus even have a home-grown docker-compose setup for ephemeral labs, but it's clunky at best.

This seems like something that might provide a simple jumping board hopefully... Also bumped into fluxCD[0] recently which also looks interesting.

[0] https://github.com/fluxcd/flux

> It doesn't make all the other yaml files happen. It doesn't make the yaml files you no longer want happening, stop happening. It doesn't even tell you "these things were created by 'old' yaml files" and should be garbage collected (since it doesn't seem to have a sense of old yaml files).

This is definitely one piece of Kubernetes that is getting a lot of attention recently. The three tools I've been paying attention to are Argo CD[0], Flux[1], and Config Sync[2].

All of these allow you to point your repository to a cluster and sync resources from the repo to the cluster, including deletes.

[0] https://argoproj.github.io/argo-cd/

[1] https://github.com/fluxcd/flux

[2] https://cloud.google.com/kubernetes-engine/docs/add-on/confi...

Disclaimer: I work at GCP, but not on the GKE team. Opinions are my own.

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.

To quickly deploy the architecture, we will be using Terraform. With Terraform, we can automate the deployment process and have our infrastructure up and running in minutes.