docs/content/guides/rust/deploy.md

---
title: Test your Rust deployment
linkTitle: Test your deployment
weight: 50
keywords: deploy, kubernetes, rust
description: Learn how to test your Rust deployment locally using Kubernetes
aliases:
  - /language/rust/deploy/
  - /guides/language/rust/deploy/
---

## Prerequisites

- Complete the previous sections of this guide, starting with [Develop your Rust application](develop.md).
- [Turn on Kubernetes](/manuals/desktop/features/kubernetes.md#install-and-turn-on-kubernetes) in Docker Desktop.

## Overview

In this section, you'll learn how to use Docker Desktop to deploy your application to a fully-featured Kubernetes environment on your development machine. This lets you to test and debug your workloads on Kubernetes locally before deploying.

## Create a Kubernetes YAML file

In your `docker-rust-postgres` directory, create a file named
`docker-rust-kubernetes.yaml`. Open the file in an IDE or text editor and add
the following contents. Replace `DOCKER_USERNAME/REPO_NAME` with your Docker
username and the name of the repository that you created in [Configure CI/CD for
your Rust application](configure-ci-cd.md).

```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    service: server
  name: server
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      service: server
  strategy: {}
  template:
    metadata:
      labels:
        service: server
    spec:
      initContainers:
        - name: wait-for-db
          image: busybox:1.28
          command:
            [
              "sh",
              "-c",
              'until nc -zv db 5432; do echo "waiting for db"; sleep 2; done;',
            ]
      containers:
        - image: DOCKER_USERNAME/REPO_NAME
          name: server
          imagePullPolicy: Always
          ports:
            - containerPort: 8000
              hostPort: 5000
              protocol: TCP
          env:
            - name: ADDRESS
              value: 0.0.0.0:8000
            - name: PG_DBNAME
              value: example
            - name: PG_HOST
              value: db
            - name: PG_PASSWORD
              value: mysecretpassword
            - name: PG_USER
              value: postgres
            - name: RUST_LOG
              value: debug
          resources: {}
      restartPolicy: Always
status: {}
---
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    service: db
  name: db
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      service: db
  strategy:
    type: Recreate
  template:
    metadata:
      labels:
        service: db
    spec:
      containers:
        - env:
            - name: POSTGRES_DB
              value: example
            - name: POSTGRES_PASSWORD
              value: mysecretpassword
            - name: POSTGRES_USER
              value: postgres
          image: postgres
          name: db
          ports:
            - containerPort: 5432
              protocol: TCP
          resources: {}
      restartPolicy: Always
status: {}
---
apiVersion: v1
kind: Service
metadata:
  labels:
    service: server
  name: server
  namespace: default
spec:
  type: NodePort
  ports:
    - name: "5000"
      port: 5000
      targetPort: 8000
      nodePort: 30001
  selector:
    service: server
status:
  loadBalancer: {}
---
apiVersion: v1
kind: Service
metadata:
  labels:
    service: db
  name: db
  namespace: default
spec:
  ports:
    - name: "5432"
      port: 5432
      targetPort: 5432
  selector:
    service: db
status:
  loadBalancer: {}
```

In this Kubernetes YAML file, there are four objects, separated by the `---`. In addition to a Service and Deployment for the database, the other two objects are:

- A Deployment, describing a scalable group of identical pods. In this case,
  you'll get just one replica, or copy of your pod. That pod, which is
  described under `template`, has just one container in it. The container is
  created from the image built by GitHub Actions in [Configure CI/CD for your
  Rust application](configure-ci-cd.md).
- A NodePort service, which will route traffic from port 30001 on your host to
  port 5000 inside the pods it routes to, allowing you to reach your app
  from the network.

To learn more about Kubernetes objects, see the [Kubernetes documentation](https://kubernetes.io/docs/home/).

## Deploy and check your application

1. In a terminal, navigate to `docker-rust-postgres` and deploy your application
   to Kubernetes.

   ```console
   $ kubectl apply -f docker-rust-kubernetes.yaml
   ```

   You should see output that looks like the following, indicating your Kubernetes objects were created successfully.

   ```shell
   deployment.apps/server created
   deployment.apps/db created
   service/server created
   service/db created
   ```

2. Make sure everything worked by listing your deployments.

   ```console
   $ kubectl get deployments
   ```

   Your deployment should be listed as follows:

   ```shell
   NAME                 READY   UP-TO-DATE   AVAILABLE   AGE
   db       1/1     1            1           2m21s
   server   1/1     1            1           2m21s
   ```

   This indicates all of the pods you asked for in your YAML are up and running. Do the same check for your services.

   ```console
   $ kubectl get services
   ```

   You should get output like the following.

   ```shell
   NAME         TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)          AGE
   db           ClusterIP   10.105.167.81    <none>        5432/TCP         109s
   kubernetes   ClusterIP   10.96.0.1        <none>        443/TCP          9d
   server       NodePort    10.101.235.213   <none>        5000:30001/TCP   109s
   ```

   In addition to the default `kubernetes` service, you can see your `service-entrypoint` service, accepting traffic on port 30001/TCP.

3. In a terminal, curl the service.

   ```console
   $ curl http://localhost:30001/users
   [{"id":1,"login":"root"}]
   ```

4. Run the following command to tear down your application.

   ```console
   $ kubectl delete -f docker-rust-kubernetes.yaml
   ```

## Summary

In this section, you learned how to use Docker Desktop to deploy your application to a fully-featured Kubernetes environment on your development machine.

Related information:

- [Kubernetes documentation](https://kubernetes.io/docs/home/)
- [Deploy on Kubernetes with Docker Desktop](/manuals/desktop/features/kubernetes.md)
- [Swarm mode overview](/manuals/engine/swarm/_index.md)