312 lines
15 KiB
Markdown
312 lines
15 KiB
Markdown
---
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stage: Configure
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group: Configure
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
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---
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# Getting started with Auto DevOps **(FREE)**
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This step-by-step guide helps you use [Auto DevOps](index.md) to
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deploy a project hosted on GitLab.com to Google Kubernetes Engine.
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You are using the GitLab native Kubernetes integration, so you don't need
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to create a Kubernetes cluster manually using the Google Cloud Platform console.
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You are creating and deploying a simple application that you create from a GitLab template.
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These instructions also work for a self-managed GitLab instance;
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ensure your own [runners are configured](../../ci/runners/README.md) and
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[Google OAuth is enabled](../../integration/google.md).
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## Configure your Google account
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Before creating and connecting your Kubernetes cluster to your GitLab project,
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you need a [Google Cloud Platform account](https://console.cloud.google.com).
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Sign in with an existing Google account, such as the one you use to access Gmail
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or Google Drive, or create a new one.
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1. Follow the steps described in the ["Before you begin" section](https://cloud.google.com/kubernetes-engine/docs/quickstart#before-you-begin)
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of the Kubernetes Engine documentation to enable the required APIs and related services.
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1. Ensure you've created a [billing account](https://cloud.google.com/billing/docs/how-to/manage-billing-account)
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with Google Cloud Platform.
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NOTE:
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Every new Google Cloud Platform (GCP) account receives [$300 in credit](https://console.cloud.google.com/freetrial),
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and in partnership with Google, GitLab is able to offer an additional $200 for new
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GCP accounts to get started with the GitLab integration with Google Kubernetes Engine.
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[Follow this link](https://cloud.google.com/partners/partnercredit/?pcn_code=0014M00001h35gDQAQ#contact-form)
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and apply for credit.
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## Create a new project from a template
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We are using a GitLab project template to get started. As the name suggests,
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those projects provide a bare-bones application built on some well-known frameworks.
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1. In GitLab, click the plus icon (**{plus-square}**) at the top of the navigation bar, and select
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**New project**.
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1. Go to the **Create from template** tab, where you can choose among a Ruby on
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Rails, Spring, or NodeJS Express project.
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For this tutorial, use the Ruby on Rails template.
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1. Give your project a name, optionally a description, and make it public so that
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you can take advantage of the features available in the
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[GitLab Ultimate plan](https://about.gitlab.com/pricing/).
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1. Click **Create project**.
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Now that you've created a project, create the Kubernetes cluster
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to deploy this project to.
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## Create a Kubernetes cluster from within GitLab
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1. On your project's landing page, click **Add Kubernetes cluster**
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(note that this option is also available when you navigate to **Operations > Kubernetes**).
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1. On the **Add a Kubernetes cluster integration** page, click the **Create new cluster** tab,
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then click **Google GKE**.
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1. Connect with your Google account, and click **Allow** to allow access to your
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Google account. (This authorization request is only displayed the first time
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you connect GitLab with your Google account.)
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After authorizing access, the **Add a Kubernetes cluster integration** page
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is displayed.
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1. In the **Enter the details for your Kubernetes cluster** section, provide
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details about your cluster:
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- **Kubernetes cluster name**
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- **Environment scope** - Leave this field unchanged.
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- **Google Cloud Platform project** - Select a project. When you
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[configured your Google account](#configure-your-google-account), a project
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should have already been created for you.
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- **Zone** - The [region/zone](https://cloud.google.com/compute/docs/regions-zones/) to
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create the cluster in.
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- **Number of nodes**
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- **Machine type** - For more information about
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[machine types](https://cloud.google.com/compute/docs/machine-types), see Google's documentation.
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- **Enable Cloud Run for Anthos** - Select this checkbox to use the
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[Cloud Run](../../user/project/clusters/add_gke_clusters.md#cloud-run-for-anthos),
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Istio, and HTTP Load Balancing add-ons for this cluster.
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- **GitLab-managed cluster** - Select this checkbox to
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[allow GitLab to manage namespace and service accounts](../../user/project/clusters/index.md#gitlab-managed-clusters) for this cluster.
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1. Click **Create Kubernetes cluster**.
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After a couple of minutes, the cluster is created. You can also see its
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status on your [GCP dashboard](https://console.cloud.google.com/kubernetes).
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## Install Ingress
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After your cluster is running, you must install NGINX Ingress Controller as a
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load balancer, to route traffic from the internet to your application. Because
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you've created a Google GKE cluster in this guide, you can install NGINX Ingress Controller
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with Google Cloud Shell:
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1. Go to your cluster's details page, and click the **Advanced Settings** tab.
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1. Click the link to Google Kubernetes Engine to visit the cluster on Google Cloud Console.
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1. On the GKE cluster page, select **Connect**, then click **Run in Cloud Shell**.
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1. After the Cloud Shell starts, run these commands to install NGINX Ingress Controller:
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```shell
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helm repo add nginx-stable https://helm.nginx.com/stable
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helm repo update
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helm install nginx-ingress nginx-stable/nginx-ingress
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# Check that the ingress controller is installed successfully
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kubectl get service nginx-ingress-nginx-ingress
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```
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1. A few minutes after you install NGINX, the load balancer obtains an IP address, and you can
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get the external IP address with this command:
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```shell
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kubectl get service nginx-ingress-nginx-ingress -ojson | jq -r '.status.loadBalancer.ingress[].ip'
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```
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Copy this IP address, as you need it in the next step.
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1. Go back to the cluster page on GitLab, and go to the **Details** tab.
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- Add your **Base domain**. For this guide, use the domain `<IP address>.nip.io`.
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- Click **Save changes**.
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## Enable Auto DevOps (optional)
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While Auto DevOps is enabled by default, Auto DevOps can be disabled at both
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the instance level (for self-managed instances) and the group level. Complete
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these steps to enable Auto DevOps if it's disabled:
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1. Navigate to **Settings > CI/CD > Auto DevOps**, and click **Expand**.
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1. Select **Default to Auto DevOps pipeline** to display more options.
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1. In **Deployment strategy**, select your desired [continuous deployment strategy](index.md#deployment-strategy)
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to deploy the application to production after the pipeline successfully runs on the `master` branch.
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1. Click **Save changes**.
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After you save your changes, GitLab creates a new pipeline. To view it, go to
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**{rocket}** **CI/CD > Pipelines**.
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In the next section, we explain what each job does in the pipeline.
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## Deploy the application
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When your pipeline runs, what is it doing?
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To view the jobs in the pipeline, click the pipeline's status badge. The
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**{status_running}** icon displays when pipeline jobs are running, and updates
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without refreshing the page to **{status_success}** (for success) or
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**{status_failed}** (for failure) when the jobs complete.
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The jobs are separated into stages:
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- **Build** - The application builds a Docker image and uploads it to your project's
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[Container Registry](../../user/packages/container_registry/index.md) ([Auto Build](stages.md#auto-build)).
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- **Test** - GitLab runs various checks on the application, but all jobs except `test`
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are allowed to fail in the test stage:
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- The `test` job runs unit and integration tests by detecting the language and
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framework ([Auto Test](stages.md#auto-test))
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- The `code_quality` job checks the code quality and is allowed to fail
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([Auto Code Quality](stages.md#auto-code-quality))
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- The `container_scanning` job checks the Docker container if it has any
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vulnerabilities and is allowed to fail ([Auto Container Scanning](stages.md#auto-container-scanning))
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- The `dependency_scanning` job checks if the application has any dependencies
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susceptible to vulnerabilities and is allowed to fail
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([Auto Dependency Scanning](stages.md#auto-dependency-scanning)) **(ULTIMATE)**
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- Jobs suffixed with `-sast` run static analysis on the current code to check for potential
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security issues, and are allowed to fail ([Auto SAST](stages.md#auto-sast)) **(ULTIMATE)**
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- The `secret-detection` job checks for leaked secrets and is allowed to fail ([Auto Secret Detection](stages.md#auto-secret-detection)) **(ULTIMATE)**
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- The `license_management` job searches the application's dependencies to determine each of their
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licenses and is allowed to fail
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([Auto License Compliance](stages.md#auto-license-compliance)) **(ULTIMATE)**
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- **Review** - Pipelines on `master` include this stage with a `dast_environment_deploy` job.
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To learn more, see [Dynamic Application Security Testing (DAST)](../../user/application_security/dast/index.md).
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- **Production** - After the tests and checks finish, the application deploys in
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Kubernetes ([Auto Deploy](stages.md#auto-deploy)).
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- **Performance** - Performance tests are run on the deployed application
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([Auto Browser Performance Testing](stages.md#auto-browser-performance-testing)). **(PREMIUM)**
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- **Cleanup** - Pipelines on `master` include this stage with a `stop_dast_environment` job.
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After running a pipeline, you should view your deployed website and learn how
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to monitor it.
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### Monitor your project
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After successfully deploying your application, you can view its website and check
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on its health on the **Environments** page by navigating to
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**Operations > Environments**. This page displays details about
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the deployed applications, and the right-hand column displays icons that link
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you to common environment tasks:
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- **Open live environment** (**{external-link}**) - Opens the URL of the application deployed in production
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- **Monitoring** (**{chart}**) - Opens the metrics page where Prometheus collects data
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about the Kubernetes cluster and how the application
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affects it in terms of memory usage, CPU usage, and latency
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- **Deploy to** (**{play}** **{angle-down}**) - Displays a list of environments you can deploy to
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- **Terminal** (**{terminal}**) - Opens a [web terminal](../../ci/environments/index.md#web-terminals)
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session inside the container where the application is running
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- **Re-deploy to environment** (**{repeat}**) - For more information, see
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[Retrying and rolling back](../../ci/environments/index.md#retry-or-roll-back-a-deployment)
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- **Stop environment** (**{stop}**) - For more information, see
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[Stopping an environment](../../ci/environments/index.md#stopping-an-environment)
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GitLab displays the [Deploy Board](../../user/project/deploy_boards.md) below the
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environment's information, with squares representing pods in your
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Kubernetes cluster, color-coded to show their status. Hovering over a square on
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the deploy board displays the state of the deployment, and clicking the square
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takes you to the pod's logs page.
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NOTE:
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The example shows only one pod hosting the application at the moment, but you can add
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more pods by defining the [`REPLICAS` CI/CD variable](customize.md#cicd-variables)
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in **Settings > CI/CD > Variables**.
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### Work with branches
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Following the [GitLab flow](../gitlab_flow.md#working-with-feature-branches),
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you should next create a feature branch to add content to your application:
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1. In your project's repository, navigate to the following file: `app/views/welcome/index.html.erb`.
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This file should only contain a paragraph: `<p>You're on Rails!</p>`.
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1. Open the GitLab [Web IDE](../../user/project/web_ide/index.md) to make the change.
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1. Edit the file so it contains:
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```html
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<p>You're on Rails! Powered by GitLab Auto DevOps.</p>
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```
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1. Stage the file. Add a commit message, then create a new branch and a merge request
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by clicking **Commit**.
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After submitting the merge request, GitLab runs your pipeline, and all the jobs
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in it, as [described previously](#deploy-the-application), in addition to
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a few more that run only on branches other than `master`.
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After a few minutes a test fails, which means a test was
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'broken' by your change. Click on the failed `test` job to see more information
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about it:
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```plaintext
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Failure:
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WelcomeControllerTest#test_should_get_index [/app/test/controllers/welcome_controller_test.rb:7]:
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<You're on Rails!> expected but was
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<You're on Rails! Powered by GitLab Auto DevOps.>..
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Expected 0 to be >= 1.
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bin/rails test test/controllers/welcome_controller_test.rb:4
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```
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To fix the broken test:
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1. Return to the **Overview** page for your merge request, and click **Open in Web IDE**.
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1. In the left-hand directory of files, find the `test/controllers/welcome_controller_test.rb`
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file, and click it to open it.
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1. Change line 7 to say `You're on Rails! Powered by GitLab Auto DevOps.`
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1. Click **Commit**.
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1. In the left-hand column, under **Unstaged changes**, click the checkmark icon
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(**{stage-all}**) to stage the changes.
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1. Write a commit message, and click **Commit**.
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Return to the **Overview** page of your merge request, and you should not only
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see the test passing, but also the application deployed as a
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[review application](stages.md#auto-review-apps). You can visit it by clicking
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the **View app** **{external-link}** button to see your changes deployed.
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After merging the merge request, GitLab runs the pipeline on the `master` branch,
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and then deploys the application to production.
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## Conclusion
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After implementing this project, you should have a solid understanding of the basics of Auto DevOps.
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You started from building and testing, to deploying and monitoring an application
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all in GitLab. Despite its automatic nature, Auto DevOps can also be configured
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and customized to fit your workflow. Here are some helpful resources for further reading:
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1. [Auto DevOps](index.md)
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1. [Multiple Kubernetes clusters](index.md#using-multiple-kubernetes-clusters)
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1. [Incremental rollout to production](customize.md#incremental-rollout-to-production) **(PREMIUM)**
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1. [Disable jobs you don't need with CI/CD variables](customize.md#cicd-variables)
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1. [Use your own buildpacks to build your application](customize.md#custom-buildpacks)
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1. [Prometheus monitoring](../../user/project/integrations/prometheus.md)
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