--- title: Performing a Rolling Update weight: 10 --- ## {{% heading "objectives" %}} Perform a rolling update using kubectl. ## Updating an application {{% alert %}} _Rolling updates allow Deployments' update to take place with zero downtime by incrementally updating Pods instances with new ones._ {{% /alert %}} Users expect applications to be available all the time, and developers are expected to deploy new versions of them several times a day. In Kubernetes this is done with rolling updates. A **rolling update** allows a Deployment update to take place with zero downtime. It does this by incrementally replacing the current Pods with new ones. The new Pods are scheduled on Nodes with available resources, and Kubernetes waits for those new Pods to start before removing the old Pods. In the previous module we scaled our application to run multiple instances. This is a requirement for performing updates without affecting application availability. By default, the maximum number of Pods that can be unavailable during the update and the maximum number of new Pods that can be created, is one. Both options can be configured to either numbers or percentages (of Pods). In Kubernetes, updates are versioned and any Deployment update can be reverted to a previous (stable) version. ## Rolling updates overview
{{% alert %}} _If a Deployment is exposed publicly, the Service will load-balance the traffic only to available Pods during the update._ {{% /alert %}} Similar to application Scaling, if a Deployment is exposed publicly, the Service will load-balance the traffic only to available Pods during the update. An available Pod is an instance that is available to the users of the application. Rolling updates allow the following actions: * Promote an application from one environment to another (via container image updates) * Rollback to previous versions * Continuous Integration and Continuous Delivery of applications with zero downtime In the following interactive tutorial, we'll update our application to a new version, and also perform a rollback. ### Update the version of the app To list your Deployments, run the `get deployments` subcommand: ```shell kubectl get deployments ``` To list the running Pods, run the `get pods` subcommand: ```shell kubectl get pods ``` To view the current image version of the app, run the `describe pods` subcommand and look for the `Image` field: ```shell kubectl describe pods ``` To update the image of the application to version 2, use the `set image` subcommand, followed by the deployment name and the new image version: ```shell kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=docker.io/jocatalin/kubernetes-bootcamp:v2 ``` The command notified the Deployment to use a different image for your app and initiated a rolling update. Check the status of the new Pods, and view the old one terminating with the `get pods` subcommand: ```shell kubectl get pods ``` ### Verify an update First, check that the service is running, as you might have deleted it in previous tutorial step, run `describe services/kubernetes-bootcamp`. If it's missing, you can create it again with: ```shell kubectl expose deployment/kubernetes-bootcamp --type="NodePort" --port 8080 ``` Create an environment variable called `NODE_PORT` that has the value of the Node port assigned: ```shell export NODE_PORT="$(kubectl get services/kubernetes-bootcamp -o go-template='{{(index .spec.ports 0).nodePort}}')" echo "NODE_PORT=$NODE_PORT" ``` Next, do a `curl` to the exposed IP and port: ```shell curl http://"$(minikube ip):$NODE_PORT" ``` Every time you run the `curl` command, you will hit a different Pod. Notice that all Pods are now running the latest version (`v2`). You can also confirm the update by running the `rollout status` subcommand: ```shell kubectl rollout status deployments/kubernetes-bootcamp ``` To view the current image version of the app, run the describe pods subcommand: ```shell kubectl describe pods ``` In the `Image` field of the output, verify that you are running the latest image version (`v2`). ### Roll back an update Let’s perform another update, and try to deploy an image tagged with `v10`: ```shell kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=gcr.io/google-samples/kubernetes-bootcamp:v10 ``` Use `get deployments` to see the status of the deployment: ```shell kubectl get deployments ``` Notice that the output doesn't list the desired number of available Pods. Run the `get pods` subcommand to list all Pods: ```shell kubectl get pods ``` Notice that some of the Pods have a status of `ImagePullBackOff`. To get more insight into the problem, run the `describe pods` subcommand: ```shell kubectl describe pods ``` In the `Events` section of the output for the affected Pods, notice that the `v10` image version did not exist in the repository. To roll back the deployment to your last working version, use the `rollout undo` subcommand: ```shell kubectl rollout undo deployments/kubernetes-bootcamp ``` The `rollout undo` command reverts the deployment to the previous known state (`v2` of the image). Updates are versioned and you can revert to any previously known state of a Deployment. Use the `get pods` subcommand to list the Pods again: ```shell kubectl get pods ``` To check the image deployed on the running Pods, use the `describe pods` subcommand: ```shell kubectl describe pods ``` The Deployment is once again using a stable version of the app (`v2`). The rollback was successful. Remember to clean up your local cluster. ```shell kubectl delete deployments/kubernetes-bootcamp services/kubernetes-bootcamp ``` ## {{% heading "whatsnext" %}} * Learn more about [Deployments](/docs/concepts/workloads/controllers/deployment/).