werf VS terraform-k8s

I am looking as well for this kind of tool. I just took a look today by exploring the CNCF landscape this tool : https://werf.io/ , I haven't used it, but it seems to take care of painful stuff like automatic versioning for example. (If someone here tried it, I will be happy to listen to your feedbacks)

Werf - um ok

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.

Check out https://werf.io/ tool. It features giterminism which is somewhat similar to gitops, but it does not require pull model. Giterminism aims to improve reproducibility of your build and deploy configuration. werf also features content-based-tagging out of the box, which allows creating immutable images, stored in the container-registry, shared between multiple runners (werf uses distributed locking to prevent overriding image which is already published). Giterminism and content-based-tagging enables easy rollbacks to any git-commit in the history of your project. By design werf could be embedded into any ci/cd system.

Rename of dapp to werf was in Jan'19 to be precise (https://github.com/werf/werf/pull/1213).

Werf

You can try werf, it has Helm under the hood and there are github actions available for it: https://github.com/werf/actions

As you know, there's plenty of tools that can be used to build your Docker images, besides the docker build itself. werf is an Open Source project with a long history (started in 2016 as a simple wrapper around Docker CLI). Still being a CLI tool, today it is focused not just on the building but also delivering these images to Kubernetes — and this is what makes it really different.

Is anyone here using the Terraform Cloud Operator in production? If so, how are you managing workspace secrets?

So I’m using the terraform cloud operator for kubernetes (https://github.com/hashicorp/terraform-k8s) to create workspaces from an EKS cluster. I’ve had to use a forked helm chart. However, the issue I have right now is that when I create a workspace via the CRD, it creates on Terraform cloud and then is just stuck. Doesn’t try to apply the module, plan, apply etc. The logs of the operator pod talks about not being able to find the workspace.

Did anyone try https://github.com/hashicorp/terraform-k8s for applying GitOps principles to IaC?

In addition to creating Kubernetes clusters, there is also an increasing number of opportunities to use various Infrastructure-as-Code (IaC) tools, such as Terraform, with GitOps. As was already mentioned, PipeCD offers support for Terraform. Terraform's vendor, HashiCorp, now also offers an official Terraform Kubernetes operator. However, it needs access to HashiCorp's Terraform Cloud. Alternatively, there are also third-party operators that can function without Terraform Cloud, such as the one developed by Rancher. However, it is still in alpha stage.

Pretty neat. I really want to test it out, and see how it compares to https://github.com/hashicorp/terraform-k8s and https://github.com/rancher/terraform-controller