We need progressive delivery using canary deployments. Here is a demonstration video (click to watch on Youtube): The native Kubernetes Deployment Object supports the RollingUpdate strategy which provides a basic set of safety guarantees (readiness probes) during an update. So, we need a way to visualize the actual and desired state, backed with the ability to travel through time and see what is and what was. A very important aspect in any development process is Security, this has always been an issue for Kubernetes since companies who wanted to migrate to Kubernetes couldnt easily implement their current security principles. Argo CD and Argo Rollouts integration One thing to note is that, instead of a deployment, you will create a rollout object. Krew is an essential tool to manage Kubectl plugins, this is a must have for any K8s user. Install linkerd and flagger in linkerd namespace: Create a test namespace, enable Linkerd proxy injection and install load testing tool to generate traffic during canary analysis: Before we continue, you need to validate both ingress-nginx and the flagger-loadtester pods are injected with the linkerd-proxy container. Kubernetes has been build with the idea of control loops from the ground up, this means that Kubernetes is always watching the state of the cluster to make sure it matches the desired state, for example, that the number of replicas running matches the desired number of replicas. Below, I discuss two of them briefly. Argo Rollouts is completely oblivious to what is happening in Git. Kubernetes: Deployment Strategies types, and Argo Rollouts - DRS Flux vs argo-rollouts - compare differences and reviews? - LibHunt Non-meshed Pods would forward / receive traffic regularly, If you want ingress traffic to reach the Canary version, your ingress controller has to have meshed, Service-to-service communication, which bypasses Ingress, wont be affected and never reach the Canary, Pretty easy Service Mesh to setup with great Flagger integration, Controls all traffic reaching to the service, both from Ingress and service-to-service communication, For Ingress traffic, requires some special annotations. You just specify the desired state and SchemaHero manages the rest. Argo Workflows is an orchestration engine similar to Apache Airflow but native to Kubernetes. Focused on application rather than container or orchestrator, Open Application Model [OAM] brings modular, extensible, and portable design for modeling application deployment with higher level yet consistent API. Maybe it should revert the commit that defined the new state that has to be rolled back. Install Argo Rollouts kubectl plugin An application's deploy Deployment Strategies and Kubernetes Let's take a short overview of the deployment strategies which are used in Kubernetes. The following video demonstrates BlueGreen deployments: This video discusses a canary deployment with Argo Rollouts albeit a simple one without metric analysis: This video shows the integration between Argo Rollouts and Argo CD: One thing to note is that, instead of a deployment, you will create a rollout object. Version N runs on the cluster as a Rollout (managed by Argo CD). unpause a Rollout). Certified Java Architect/AWS/GCP/Azure/K8s: Microservices/Docker/Kubernetes, AWS/Serverless/BigData, Kafka/Akka/Spark/AI, JS/React/Angular/PWA @JavierRamosRod, Automated rollbacks and promotions or Manual judgement, Customizable metric queries and analysis of business KPIs, Ingress controller integration: NGINX, ALB, Service Mesh integration: Istio, Linkerd, SMI.
flagger vs argo rollouts