docs: kubernetes tutorial
Signed-off-by: Andrea Luzzardi <aluzzardi@gmail.com>
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docs/tutorials/_category_.json
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{
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"label": "Tutorials",
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"position": 5
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}
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docs/tutorials/kubernetes.md
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docs/tutorials/kubernetes.md
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# Kubernetes
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This example illustrates how to use `dagger` to build, push and deploy Docker
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images to Kubernetes.
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## Prerequisites
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### Setup a local Kubernetes cluster
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While dagger supports GKE and EKS, for the purpose of this example, we'll be
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using [kind](https://kind.sigs.k8s.io/) to install a local Kubernetes cluster
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in addition to a local container registry, no cloud account required.
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1\. Install kind
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Follow [these instructions](https://kind.sigs.k8s.io/docs/user/quick-start) to
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install kind.
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Alternatively, on macOS using [homebrew](https://brew.sh/):
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```shell
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brew install kind
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```
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2\. Start a local registry
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```shell
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docker run -d -p 5000:5000 --name registry registry:2
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```
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3\. Create a cluster with the local registry enabled in containerd
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```bash
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cat <<EOF | kind create cluster --config=-
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kind: Cluster
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apiVersion: kind.x-k8s.io/v1alpha4
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containerdConfigPatches:
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- |-
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[plugins."io.containerd.grpc.v1.cri".registry.mirrors."localhost:5000"]
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endpoint = ["http://registry:5000"]
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EOF
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```
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4\. Connect the registry to the cluster network
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```shell
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docker network connect kind registry
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```
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## Initialize a Dagger Workspace and Environment
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```shell
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mkdir dagger-kubernetes && cd dagger-kubernetes
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dagger init
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dagger new default
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```
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## Create a basic plan
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<!-- `.dagger/env/default/plan`
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- `manifest.cue`:
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- `deploy.cue`:
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[Stateless Application](https://kubernetes.io/docs/tasks/run-application/run-stateless-application-deployment/) -->
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Create a file named `.dagger/env/default/plan/manifest.cue` and add the
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following configuration to it.
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```cue title=".dagger/env/default/plan/manifest.cue"
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package main
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// inlined kubernetes manifest as a string
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manifest: """
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: nginx
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labels:
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app: nginx
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: nginx
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template:
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metadata:
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labels:
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app: nginx
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spec:
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containers:
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- name: nginx
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image: nginx:1.14.2
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ports:
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- containerPort: 80
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"""
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```
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This will define a `manifest` variable containing the inlined Kubernetes YAML
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used to create a _nginx_ deployment.
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Next, create `.dagger/env/default/plan/main.cue`.
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```cue title=".dagger/env/default/plan/main.cue"
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package main
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import (
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"dagger.io/kubernetes"
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)
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// input: ~/.kube/config file used for deployment
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// set with `dagger input text kubeconfig -f ~/.kube/config`
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kubeconfig: string @dagger(input)
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// deploy uses the `dagger.io/kubernetes` package to apply a manifest to a
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// Kubernetes cluster.
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deploy: kubernetes.#Apply & {
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// reference the `kubeconfig` input above
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"kubeconfig": kubeconfig
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// reference to the manifest defined in `manifest.cue`
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"manifest": manifest
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}
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```
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This defines:
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- `kubeconfig` a _string_ **input**: kubernetes configuration (`~/.kube/config`)
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used for `kubectl`
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- `deploy`: Deployment step using the package `dagger.io/kubernetes`. It takes
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the `manifest` defined earlier and deploys it to the Kubernetes cluster specified in `kubeconfig`.
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### Configure the environment
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Before we can bring up the deployment, we need to provide the `kubeconfig` input
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declared in the configuration. Otherwise, dagger will complain about a missing input:
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```shell
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$ dagger up
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6:53PM ERR system | required input is missing input=kubeconfig
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```
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You can inspect the list of inputs (both required and optional) using `dagger input list`:
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```shell
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$ dagger input list
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Input Type Description
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kubeconfig string ~/.kube/config file used for deployment
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deploy.namespace string Kubernetes Namespace to deploy to
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```
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Let's provide the missing input:
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```shell
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# we'll use the ~/.kube/config created by `kind`
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dagger input text kubeconfig -f ~/.kube/config
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```
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### Deploying
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Now is time to deploy to kubernetes.
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```shell
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$ dagger up
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deploy | computing
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deploy | #26 0.700 deployment.apps/nginx created
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deploy | completed duration=900ms
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```
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Let's verify the deployment worked:
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```shell
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$ kubectl get deployments
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NAME READY UP-TO-DATE AVAILABLE AGE
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nginx 1/1 1 1 1m
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```
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## CUE Kubernetes manifests
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In this section we will convert the inlined YAML manifest to CUE to take advantage of the language features.
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For a more advanced example, see the
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[official CUE Kubernetes tutorial](https://github.com/cuelang/cue/blob/v0.4.0/doc/tutorial/kubernetes/README.md)
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First, let's replace `manifest.cue` with the following configuration. This is a
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straightforward one-to-one conversion from YAML to CUE, only the syntax has changed.
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```cue title=".dagger/env/default/plan/manifest.cue"
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package main
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import (
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"encoding/yaml"
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)
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nginx: {
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apiVersion: "apps/v1"
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kind: "Deployment"
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metadata: {
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"name": "nginx"
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labels: app: "nginx"
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}
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spec: {
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replicas: 1
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selector: matchLabels: app: "nginx"
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template: {
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metadata: labels: app: "nginx"
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spec: containers: [{
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"name": "nginx"
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"image": image
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ports: [{
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containerPort: port
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}]
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}]
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}
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}
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}
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manifest: yaml.Marshal(nginx)
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```
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We're using the built-in `yaml.Marshal` function to convert CUE back to YAML so
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Kubernetes still receives the same manifest.
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You can inspect the configuration using `dagger query` to verify it produces the
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same manifest:
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```shell
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$ dagger query manifest -f text
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apiVersion: apps/v1
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kind: Deployment
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...
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```
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Now that the manifest is defined in CUE, we can take advantage of the language
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to remove a lot of boilerplate and repetition.
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Let's define a re-usable `#Deployment` definition in `.dagger/env/default/plan/deployment.cue"`:
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```cue title=".dagger/env/default/plan/deployment.cue"
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package main
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// Deployment template containing all the common boilerplate shared by
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// deployments of this application.
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#Deployment: {
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// name of the deployment. This will be used to automatically label resouces
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// and generate selectors.
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name: string
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// container image
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image: string
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// 80 is the default port
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port: *80 | int
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// 1 is the default, but we allow any number
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replicas: *1 | int
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// Deployment manifest. Uses the name, image, port and replicas above to
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// generate the resource manifest.
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manifest: {
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apiVersion: "apps/v1"
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kind: "Deployment"
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metadata: {
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"name": name
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labels: app: name
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}
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spec: {
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"replicas": replicas
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selector: matchLabels: app: name
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template: {
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metadata: labels: app: name
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spec: containers: [{
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"name": name
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"image": image
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ports: [{
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containerPort: port
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}]
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}]
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}
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}
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}
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}
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```
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`manifest.cue` can be rewritten as follows:
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```cue title=".dagger/env/default/plan/manifest.cue"
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import (
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"encoding/yaml"
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)
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nginx: #Deployment & {
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name: "nginx"
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image: "nginx:1.14.2"
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}
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manifest: yaml.Marshal(nginx.manifest)
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```
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Let's make sure it yields the same result:
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```shell
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$ dagger query deploy.manifest -f text
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apiVersion: apps/v1
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kind: Deployment
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...
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```
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And we can now deploy it:
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```shell
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$ dagger up
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deploy | computing
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deploy | #26 0.700 deployment.apps/nginx unchanged
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deploy | completed duration=900ms
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```
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## Building, pushing and deploying Docker images
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Rather than deploying an existing (`nginx`) image, we're going to build a Docker
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image from source, push it to a registry and update the kubernetes configuration.
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### Update the plan
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The following configuration will:
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- Declare a `repository` input as a `dagger.#Artifact`. This will be mapped to
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the source code directory.
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- Declare a `registry` input. This is the address used for docker push
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- Use `dagger.io/docker` to build and push the image
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- Use the registry image reference (`push.ref`) as the image for the deployment.
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```cue title=".dagger/env/default/plan/manifest.cue"
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package main
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import (
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"encoding/yaml"
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"dagger.io/docker"
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)
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// input: source code repository, must contain a Dockerfile
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// set with `dagger input dir repository ./app`
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repository: dagger.#Artifact @dagger(input)
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// registry to push images to
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registry: string @dagger(input)
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// docker build the `repository` directory
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image: docker.#Build & {
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source: repository
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}
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// push the `image` to the `registry`
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push: docker.#Push & {
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source: image
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ref: registry
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}
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// use the `#Deployment` template to generate the kubernetes manifest
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app: #Deployment & {
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name: "test"
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// use the reference of the image we just pushed
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// this creates a dependency: `app` will only be deployed after the image is
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// built and pushed.
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"image": push.ref
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}
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manifest: yaml.Marshal(app.manifest)
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```
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### Connect the Inputs
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Next, we'll provide the two new inputs, `repository` and `registry`.
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For the purpose of this tutorial we'll be using
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[hello-go](https://github.com/aluzzardi/hello-go) as example source code.
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```shell
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$ git clone https://github.com/aluzzardi/hello-go.git
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dagger input dir repository ./hello-go
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dagger input text registry "localhost:5000/image"
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```
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### Bring up the changes
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```shell
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$ dagger up
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repository | computing
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repository | completed duration=0s
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image | computing
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image | completed duration=1s
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deploy | computing
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deploy | #26 0.709 deployment.apps/hello created
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deploy | completed duration=900ms
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```
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Let's verify the deployment worked:
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```shell
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$ kubectl get deployments
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NAME READY UP-TO-DATE AVAILABLE AGE
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nginx 1/1 1 1 1m
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hello 1/1 1 1 1m
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```
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## Next Steps
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Deploy on a hosted Kubernetes cluster:
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- [GKE](https://github.com/dagger/dagger/tree/main/stdlib/gcp/gke)
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- [EKS](https://github.com/dagger/dagger/tree/main/stdlib/aws/eks)
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Authenticate to a remote registry:
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- [ECR](https://github.com/dagger/dagger/tree/main/stdlib/aws/ecr)
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- [GCR](https://github.com/dagger/dagger/tree/main/stdlib/gcp/gcr)
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Integrate kubernetes tools with Dagger:
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- [Helm](https://github.com/dagger/dagger/tree/main/stdlib/kubernetes/helm)
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- [Kustomize](https://github.com/dagger/dagger/tree/main/stdlib/kubernetes/kustomize)
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