--- title: Multi-Cluster Deployment --- ## Introduction Modern application infrastructure involves multiple clusters to ensure high availability and maximize service throughput. In this section, we will introduce how to use KubeVela to achieve application deployment across multiple clusters with following features supported: - Rolling Upgrade: To continuously deploy apps requires to rollout in a safe manner which usually involves step by step rollout batches and analysis. - Traffic shifting: When rolling upgrade an app, it needs to split the traffic onto both the old and new revisions to verify the new version while preserving service availability. ### AppDeployment The `AppDeployment` API in KubeVela is provided to satisfy such requirements. Here's an overview of the API: ```yaml apiVersion: core.oam.dev/v1beta1 kind: AppDeployment metadata: name: sample-appdeploy spec: traffic: hosts: - example.com http: - match: # match any requests to 'example.com/example-app' - uri: prefix: "/example-app" # split traffic 50/50 on v1/v2 versions of the app weightedTargets: - revisionName: example-app-v1 componentName: testsvc port: 80 weight: 50 - revisionName: example-app-v2 componentName: testsvc port: 80 weight: 50 appRevisions: - # Name of the AppRevision. # Each modification to Application would generate a new AppRevision. revisionName: example-app-v1 # Cluster specific workload placement config placement: - clusterSelector: # You can select Clusters by name or labels. # If multiple clusters is selected, one will be picked via a unique hashing algorithm. labels: tier: production name: prod-cluster-1 distribution: replicas: 5 - # If no clusterSelector is given, it will use the host cluster in which this CR exists distribution: replicas: 5 - revisionName: example-app-v2 placement: - clusterSelector: labels: tier: production name: prod-cluster-1 distribution: replicas: 5 - distribution: replicas: 5 ``` ### Cluster The clusters selected in the `placement` part from above is defined in Cluster CRD. Here's what it looks like: ```yaml apiVersion: core.oam.dev/v1beta1 kind: Cluster metadata: name: prod-cluster-1 labels: tier: production spec: kubeconfigSecretRef: name: kubeconfig-cluster-1 # the secret name ``` The secret must contain the kubeconfig credentials in `config` field: ```yaml apiVersion: v1 kind: Secret metadata: name: kubeconfig-cluster-1 data: config: ... # kubeconfig data ``` ## Quickstart Here's a step-by-step tutorial for you to try out. All of the yaml files are from [`docs/examples/appdeployment/`](https://github.com/oam-dev/kubevela/tree/master/docs/examples/appdeployment). You must run all commands in that directory. 1. Create an Application ```bash $ cat < Note: with `app.oam.dev/revision-only: "true"` annotation, above `Application` resource won't create any pod instances and leave the real deployment process to `AppDeployment`. 1. Then use the above AppRevision to create an AppDeployment. ```bash $ kubectl apply -f appdeployment-1.yaml ``` > Note: in order to AppDeployment to work, your workload object must have a `spec.replicas` field for scaling. 1. Now you can check that there will 1 deployment and 2 pod instances deployed ```bash $ kubectl get deploy NAME READY UP-TO-DATE AVAILABLE AGE testsvc-v1 2/2 2 0 27s ``` 1. Update Application properties: ```bash $ cat < 8080 Forwarding from [::1]:8080 -> 8080 # The command should return pages of either docker whale or nginx in 50/50 $ curl -H "Host: example-app.example.com" http://localhost:8080/ ``` 1. Cleanup: ```bash kubectl delete appdeployments.core.oam.dev --all kubectl delete applications.core.oam.dev --all ```