使用 GitLab CI/CD 和 Cloud Deploy 的软件交付管道_AI阅读总结 — 包阅AI

Continuous Delivery (CD) is a set of practices and principles that enables teams to deliver software quickly and reliably by automating the entire software release process using a pipeline. In this article, we explain how to create a Continuous Delivery pipeline to automate software delivery from code commit to production release on Cloud Run using Gitlab CI/CD and Cloud Deploy, leveraging the recently released Gitlab Google Cloud integration.

Elements of the solution

Gitlab CI/CD

GitLab CI/CD is an integrated continuous integration and delivery platform within GitLab. It automates the build, test, and deployment of your code changes, streamlining your development workflow. For more information check the Gitlab CI/CD documentation.

Cloud Deploy

Cloud Deploy is a Google managed service that you can use to automate how your application is deployed across different stages to a series of runtime environments. With Cloud Deploy, you can define delivery pipelines to deploy container images to GKE and Cloud Run targets in a predetermined sequence. Cloud Deploy supports advanced deployment strategies as progressive releases, approvals, deployment verifications, parallel deployments.

Google Cloud Gitlab integration

Gitlab and Google Cloud recently released integrations to make it easier and more secure to deploy code from Gitlab to Google Cloud. The areas of integration described in this article are:

• Authentication: The GitLab and Google Cloud integration leverages workload identity federation, enabling secure authorization and authentication for GitLab workloads, as CI/CD jobs, with Google Cloud. This eliminates the need for managing service accounts or service account keys, streamlining the process and reducing security risks. All the other integration areas described below leverage this authentication mechanism.

• Artifact Registry: The integration lets you upload GitLab artifacts to Artifact Registry and access them from Gitlab UI.

• Cloud Deploy: This Gitlab component facilitates the creation of Cloud Deploy releases from Gitlab CI/CD pipelines.

• Gcloud: This component facilitates running gcloud commands in Gitlab CI/CD pipelines.

• Gitlab runners on Google Cloud: The integration lets you configure runner settings from Gitlab UI and have them deployed on your Google Cloud project with Terraform.

You can access the updated list of Google Cloud Gitlab components here.

What you’ll need

To follow the steps in this article you need:

1. A Gitlab account (Free, Premium or Ultimate)

2. A Google Cloud project with project owner access

3. A fork, in your account, of the following Gitlab repository containing the example code: https://gitlab.com/galloro/cd-on-gcp-gl cloned locally to your workstation.

Pipeline flow

You can see the pipeline in the .gitlab-ci.yml file in the root of the repo or using the Gitlab Pipeline editor.

Following the instruction in this article you will create and execute an end to end software delivery pipeline where:

1. A developer creates a feature branch from an application repository

2. The developer makes a change to the code and then opens a merge request to merge the updated code to the main branch

3. The Gitlab pipeline will run the following jobs, all configured to run when a merge request is open through the

- if: $CI_PIPELINE_SOURCE == 'merge_request_event‘ rule:

a. The image-build job, in the build stage, builds a container image with the updated code.