flagger VS argo-rollouts

Flagger

Where appropriate, canary releases are an excellent option, as the percentage of traffic exposed to the canary is highly controlled. The trade-off is that the system must have good monitoring in place to be able to quickly identify an issue and roll back if necessary (which can be automated). This guide shows you how to use Apache APISIX and Flagger to quickly implement a canary release solution.

What is Flagger? Flagger is a Progressive Delivery tool that automates the release process for applications running on Kubernetes. Under the hood, both tools are built on top of a modular GitOps toolkit. It is the main reason why Flagger compliments Flux.

flagger: Automated canary using istio/linkerd

I would suggest trying a-b deployment in this case using flagger. It will spin up a new instance and gradually rotate out old ones. Maybe that can be helpful in this weird situation :)

ArgoRollouts offers Canary and BlueGreen deployment strategies for Kubernetes Pods. It's a drop-in replacement for the v1.Deployment object. Flagger is similar what it offers, extending Kubernetes to support Canary and BlueGreen deployment strategies.

Check https://argoproj.github.io/argo-rollouts/ and https://flagger.app/

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.