argo-rollouts VS terraform-controller

And support is on it's way for Argo Rollouts 🎉 https://github.com/argoproj/argo-rollouts/pull/2004

curl -LO https://github.com/argoproj/argo-rollouts/releases/latest/download/kubectl-argo-rollouts-linux-amd64 chmod +x ./kubectl-argo-rollouts-linux-amd64 sudo mv ./kubectl-argo-rollouts-linux-amd64 /usr/local/bin/kubectl-argo-rollouts kubectl argo rollouts version

kubectl create namespace argo-rollouts kubectl apply -n argo-rollouts -f https://github.com/argoproj/argo-rollouts/releases/latest/download/install.yaml

You can see in why argo section here what are the limitations of rolling updates and how rollouts solves it: https://github.com/argoproj/argo-rollouts

Argo Rollouts

Check the public users list https://github.com/argoproj/argo-rollouts/blob/master/USERS.md

Supplementary GitOps operators can also be used for deployment strategies, such as canary releases, A/B tests, and blue/green deployments, which have now been grouped under the term “progressive delivery”. The resources of most GitOps operators are not sufficient for this. One solution is Flagger. The tool that was launched by Weaveworks is now being developed as part of the Flux project. The Argo project also has an operator for this use case: Argo Rollouts. Both offer CRs for implementing progressive delivery strategies in interaction with various ingress controllers and service meshes.

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.