--- slug: /learn/107-kubernetes --- # Dagger 107: deploy to Kubernetes This tutorial illustrates how to use dagger to build, push and deploy Docker images to Kubernetes. import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; ## Prerequisites For this tutorial, you will need a Kubernetes cluster. [Kind](https://kind.sigs.k8s.io/docs/user/quick-start) is a tool for running local Kubernetes clusters using Docker. 1\. Install kind Follow [these instructions](https://kind.sigs.k8s.io/docs/user/quick-start) to install kind. Alternatively, on macOS using [homebrew](https://brew.sh/): ```shell brew install kind ``` 2\. Start a local registry ```shell docker run -d -p 5000:5000 --name registry registry:2 ``` 3\. Create a cluster with the local registry enabled in containerd ```shell cat < This tutorial can be run against a [GCP GKE](https://cloud.google.com/kubernetes-engine) cluster and [GCR](https://cloud.google.com/container-registry) This tutorial can be run against a [AWS EKS](https://aws.amazon.com/eks/) cluster and [ECR](https://aws.amazon.com/ecr/) ## Initialize a Dagger Workspace and Environment ### (optional) Setup example app You will need the local copy of the [Dagger examples repository](https://github.com/dagger/examples) used in previous guides ```shell git clone https://github.com/dagger/examples ``` Make sure that all commands are run from the todoapp directory: ```shell cd examples/todoapp ``` ### (optional) Initialize a Cue module In this guide we will use the same directory as the root of the Dagger workspace and the root of the Cue module; but you can create your Cue module anywhere inside the Dagger workspace. ```shell cue mod init ``` ### Organize your package Let's create a new directory for our Cue package: ```shell mkdir kube ``` ## Create a basic plan Create a file named `manifest.cue` and add the following configuration to it. ```cue title="todoapp/kube/manifest.cue" package kube // inlined kubernetes manifest as a string manifest: """ apiVersion: apps/v1 kind: Deployment metadata: name: nginx labels: app: nginx spec: replicas: 1 selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: nginx:1.14.2 ports: - containerPort: 80 """ ``` This will define a `manifest` variable containing the inlined Kubernetes YAML used to create a _nginx_ deployment. Next, create `source.cue`. ```cue title="todoapp/kube/source.cue" package kube import ( "dagger.io/kubernetes" ) // input: ~/.kube/config file used for deployment // set with `dagger input text kubeconfig -f ~/.kube/config` kubeconfig: string @dagger(input) // deploy uses the `dagger.io/kubernetes` package to apply a manifest to a // Kubernetes cluster. deploy: kubernetes.#Resources & { // reference the `kubeconfig` input above "kubeconfig": kubeconfig // reference to the manifest defined in `manifest.cue` "manifest": manifest } ``` ```cue title="todoapp/kube/source.cue" package kube import ( "dagger.io/kubernetes" "dagger.io/gcp/gke" ) // gkeConfig used for deployment gkeConfig: gke.#KubeConfig @dagger(input) kubeconfig: gkeConfig.kubeconfig // deploy uses the `dagger.io/kubernetes` package to apply a manifest to a // Kubernetes cluster. deploy: kubernetes.#Resources & { // reference the `kubeconfig` input above "kubeconfig": kubeconfig // reference to the manifest defined in `manifest.cue` "manifest": manifest } ``` ```cue title="todoapp/kube/source.cue" package kube import ( "dagger.io/kubernetes" "dagger.io/aws/eks" ) // eksConfig used for deployment eksConfig: eks.#KubeConfig @dagger(input) kubeconfig: eksConfig.kubeconfig // deploy uses the `dagger.io/kubernetes` package to apply a manifest to a // Kubernetes cluster. deploy: kubernetes.#Resources & { // reference the `kubeconfig` input above "kubeconfig": kubeconfig // reference to the manifest defined in `manifest.cue` "manifest": manifest } ``` This defines: - `kubeconfig` a _string_ **input**: kubernetes configuration (`~/.kube/config`) used for `kubectl` - `deploy`: Deployment step using the package `dagger.io/kubernetes`. It takes the `manifest` defined earlier and deploys it to the Kubernetes cluster specified in `kubeconfig`. ### Setup the environment #### Create a new environment Now that your Cue package is ready, let's create an environment to run it: ```shell dagger new 'kube' ``` #### Load the plan into the environment Now let's configure the new environment to use our package as its plan: ```shell cp kube/*.cue .dagger/env/kube/plan/ ``` Note: you need to copy the files from your package into the environment, as shown above. If you make more changes to your package, you will need to copy the new version, or it will not be used. In the future, we will add the ability to reference your Cue package directory, making this manual copy unnecessary. ### Configure the environment Before we can bring up the deployment, we need to provide the `kubeconfig` input declared in the configuration. Otherwise, dagger will complain about a missing input: ```shell $ dagger up 6:53PM ERR system | required input is missing input=kubeconfig ``` You can inspect the list of inputs (both required and optional) using `dagger input list`: ```shell $ dagger input list Input Type Description kubeconfig string ~/.kube/config file used for deployment deploy.namespace string Kubernetes Namespace to deploy to ``` ```shell $ dagger input list Input Type Description deploy.namespace string Kubernetes Namespace to deploy to gkeConfig.config.region string GCP region gkeConfig.config.project string GCP project gkeConfig.config.serviceKey dagger.#Secret GCP service key gkeConfig.clusterName string GKE cluster name ``` ```shell $ dagger input list Input Type Description deploy.namespace string Kubernetes Namespace to deploy to eksConfig.config.region string AWS region eksConfig.config.accessKey dagger.#Secret AWS access key eksConfig.config.secretKey dagger.#Secret AWS secret key eksConfig.clusterName string EKS cluster name ``` Let's provide the missing inputs: ```shell # we'll use the ~/.kube/config created by `kind` dagger input text kubeconfig -f ~/.kube/config ``` ```shell dagger input text gkeConfig.config.project dagger input text gkeConfig.config.region dagger input text gkeConfig.clusterName dagger input secret gkeConfig.config.serviceKey -f ``` ```shell dagger input text eksConfig.config.region dagger input text eksConfig.clusterName dagger input secret eksConfig.config.accessKey dagger input secret eksConfig.config.secretKey ``` ### Deploying Now is time to deploy to kubernetes. ```shell $ dagger up deploy | computing deploy | #26 0.700 deployment.apps/nginx created deploy | completed duration=900ms ``` Let's verify the deployment worked: ```shell $ kubectl get deployments NAME READY UP-TO-DATE AVAILABLE AGE nginx 1/1 1 1 1m ``` ## CUE Kubernetes manifests In this section we will convert the inlined YAML manifest to CUE to take advantage of the language features. For a more advanced example, see the [official CUE Kubernetes tutorial](https://github.com/cuelang/cue/blob/v0.4.0/doc/tutorial/kubernetes/README.md) First, let's replace `manifest.cue` with the following configuration. This is a straightforward one-to-one conversion from YAML to CUE, only the syntax has changed. ```cue title="todoapp/kube/manifest.cue" package kube import ( "encoding/yaml" ) nginx: { apiVersion: "apps/v1" kind: "Deployment" metadata: { "name": "nginx" labels: app: "nginx" } spec: { replicas: 1 selector: matchLabels: app: "nginx" template: { metadata: labels: app: "nginx" spec: containers: [{ "name": "nginx" "image": "nginx:1.14.2" ports: [{ containerPort: "80" }] }] } } } manifest: yaml.Marshal(nginx) ``` We're using the built-in `yaml.Marshal` function to convert CUE back to YAML so Kubernetes still receives the same manifest. You need to copy the changes to the plan in order for Dagger to reference them ```shell cp kube/*.cue .dagger/env/kube/plan/ ``` You can inspect the configuration using `dagger query` to verify it produces the same manifest: ```shell $ dagger query manifest -f text apiVersion: apps/v1 kind: Deployment ... ``` Now that the manifest is defined in CUE, we can take advantage of the language to remove a lot of boilerplate and repetition. Let's define a re-usable `#Deployment` definition in `todoapp/kube/deployment.cue"`: ```cue title="todoapp/kube/deployment.cue" package kube // Deployment template containing all the common boilerplate shared by // deployments of this application. #Deployment: { // name of the deployment. This will be used to automatically label resouces // and generate selectors. name: string // container image image: string // 80 is the default port port: *80 | int // 1 is the default, but we allow any number replicas: *1 | int // Deployment manifest. Uses the name, image, port and replicas above to // generate the resource manifest. manifest: { apiVersion: "apps/v1" kind: "Deployment" metadata: { "name": name labels: app: name } spec: { "replicas": replicas selector: matchLabels: app: name template: { metadata: labels: app: name spec: containers: [{ "name": name "image": image ports: [{ containerPort: port }] }] } } } } ``` `manifest.cue` can be rewritten as follows: ```cue title="todoapp/kube/manifest.cue" package kube import ( "encoding/yaml" ) nginx: #Deployment & { name: "nginx" image: "nginx:1.14.2" } manifest: yaml.Marshal(nginx.manifest) ``` Update the plan ```shell cp kube/*.cue .dagger/env/kube/plan/ ``` Let's make sure it yields the same result: ```shell $ dagger query deploy.manifest -f text apiVersion: apps/v1 kind: Deployment ... ``` And we can now deploy it: ```shell $ dagger up deploy | computing deploy | #26 0.700 deployment.apps/nginx unchanged deploy | completed duration=900ms ``` ## Building, pushing and deploying Docker images Rather than deploying an existing (`nginx`) image, we're going to build a Docker image from source, push it to a registry and update the kubernetes configuration. ### Update the plan The following configuration will: - Declare a `repository` input as a `dagger.#Artifact`. This will be mapped to the source code directory. - Declare a `registry` input. This is the address used for docker push - Use `dagger.io/docker` to build and push the image - Use the registry image reference (`push.ref`) as the image for the deployment. ```cue title="todoapp/kube/manifest.cue" package kube import ( "encoding/yaml" "dagger.io/dagger" "dagger.io/docker" ) // input: source code repository, must contain a Dockerfile // set with `dagger input dir repository ./app` repository: dagger.#Artifact @dagger(input) // registry to push images to registry: string @dagger(input) // docker build the `repository` directory image: docker.#Build & { source: repository } // push the `image` to the `registry` push: docker.#Push & { source: image ref: registry } // use the `#Deployment` template to generate the kubernetes manifest app: #Deployment & { name: "test" // use the reference of the image we just pushed // this creates a dependency: `app` will only be deployed after the image is // built and pushed. "image": push.ref } manifest: yaml.Marshal(app.manifest) ``` Update the plan ```shell cp kube/*.cue .dagger/env/kube/plan/ ``` ### Connect the Inputs Next, we'll provide the two new inputs, `repository` and `registry`. For the purpose of this tutorial we'll be using [hello-go](https://github.com/aluzzardi/hello-go) as example source code. ```shell $ git clone https://github.com/aluzzardi/hello-go.git dagger input dir repository ./hello-go dagger input text registry "localhost:5000/image" ``` ### Bring up the changes ```shell $ dagger up repository | computing repository | completed duration=0s image | computing image | completed duration=1s deploy | computing deploy | #26 0.709 deployment.apps/hello created deploy | completed duration=900ms ``` Let's verify the deployment worked: ```shell $ kubectl get deployments NAME READY UP-TO-DATE AVAILABLE AGE nginx 1/1 1 1 1m hello 1/1 1 1 1m ``` ## Next Steps Deploy on a hosted Kubernetes cluster: - [GKE](https://github.com/dagger/dagger/tree/main/stdlib/gcp/gke) - [EKS](https://github.com/dagger/dagger/tree/main/stdlib/aws/eks) Authenticate to a remote registry: - [ECR](https://github.com/dagger/dagger/tree/main/stdlib/aws/ecr) - [GCR](https://github.com/dagger/dagger/tree/main/stdlib/gcp/gcr) Integrate kubernetes tools with Dagger: - [Helm](https://github.com/dagger/dagger/tree/main/stdlib/kubernetes/helm) - [Kustomize](https://github.com/dagger/dagger/tree/main/stdlib/kubernetes/kustomize)