[{"data":1,"prerenderedAt":720},["ShallowReactive",2],{"/en-us/blog/how-to-secure-cloud-run-deployment-with-auto-devops/":3,"navigation-en-us":36,"banner-en-us":465,"footer-en-us":482,"Regnard Raquedan":692,"next-steps-en-us":705},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":26,"_id":29,"_type":30,"title":31,"_source":32,"_file":33,"_stem":34,"_extension":35},"/en-us/blog/how-to-secure-cloud-run-deployment-with-auto-devops","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"How to secure Google Cloud Run deployment with GitLab Auto DevOps","This tutorial will help teams speed development, improve security, and harness the power of serverless technology.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749682898/Blog/Hero%20Images/cloud-security.png","https://about.gitlab.com/blog/how-to-secure-cloud-run-deployment-with-auto-devops","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"How to secure Google Cloud Run deployment with GitLab Auto DevOps\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Regnard Raquedan\"}],\n        \"datePublished\": \"2023-08-21\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Regnard Raquedan","2023-08-21","\nTeams looking for efficiency often look to GitLab and serverless platforms to minimize management overhead and speed deployment times. GitLab's tight integration with [Google Cloud Run](https://cloud.google.com/run) means that teams can take advantage of the industry-leading DevSecOps platform to deliver container-based applications securely and efficiently.\n\nThis tutorial will show you how to deploy applications to Cloud Run using GitLab [Auto DevOps](https://docs.gitlab.com/ee/topics/autodevops/), a feature that lets developers quickly use CI/CD pipelines via pre-built templates. This approach can accelerate testing and deployment because stages and jobs are already pre-configured.\n\n## Prerequisites\nBefore you begin, make sure you have the following:\n- a Google Cloud project with Cloud Run and Cloud Build APIs enabled\n- a Google Cloud service account with Cloud Run Admin, Cloud Build Service Agent, Service Account User, and Project Viewer permissions\n- a GitLab project containing your application code\n\n### Demo walkthrough\n\n\u003Ciframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/hIFagDyo3f8\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen>\u003C/iframe>\n\n\n**Step 1:** Configure Google Cloud credentials\n\nTo start, use the Google Cloud service account with the necessary permissions. Once you have the service account, export its key to a JSON file and encode it using base64.\n\n**Step 2:** Add Auto DevOps to your GitLab project\n\nNavigate to your GitLab project and create a new file at the root called \"gitlab-ci.yml.\" Add the following lines of code to include the Auto DevOps template, which automatically configures your pipeline based on project settings and configuration:\n\n```\ninclude:\n  - template: Auto-DevOps.gitlab-ci.yml\n```\n\nCommit the changes to your project.\n\n**Step 3:** Configure environment variables\n\nAdd the following environment variables to your GitLab project:\n\n* `BASE64_GOOGLE_CLOUD_CREDENTIALS`: The base64-encoded JSON file containing your service account key. Make sure to mask this variable.\n* `PROJECT_ID`: The Google Cloud project ID.\n* `SERVICE_ID`: The service ID that will be used for Cloud Run. For this tutorial, we'll use \"nodejs\" as our service ID.\n\n**Step 4:** Configure the CI/CD pipeline\n\nModify the \"gitlab-ci.yml\" file to add Google Cloud SDK, gcloud commands, Docker, and the necessary configurations for deploying your application to Cloud Run. \n\n```\nimage: google/cloud-sdk:latest\n```\n\nAdditionally, use Google Cloud Build to generate the container image required for deployment. Commit the changes to your project.\n\n```\ndeploy:\n  stage: deploy\n  script:\n    - export GOOGLE_CLOUD_CREDENTIALS=$(echo $BASE64_GOOGLE_CLOUD_CREDENTIALS | base64 -d)\n    - echo $GOOGLE_CLOUD_CREDENTIALS > service-account-key.json \n    - gcloud auth activate-service-account --key-file service-account-key.json \n    - gcloud config set project $PROJECT_ID \n    - gcloud auth configure-docker\n    - gcloud builds submit --tag gcr.io/$PROJECT_ID/$SERVICE_ID\n    - gcloud run deploy $SERVICE_ID --image gcr.io/$PROJECT_ID/$SERVICE_ID --region=us-central1 --platform managed --allow-unauthenticated \n```\n\n**Step 5:** Finalize the DAST stage\n\nOnce your application has been deployed to Cloud Run, complete the dynamic application security testing ([DAST](https://docs.gitlab.com/ee/user/application_security/dast/)) stage in the CI/CD pipeline to ensure your application is more secure. Add the Cloud Run URL to your \"gitlab-ci.yml\" file and enable full_scan and browser_scan options. Commit the changes to your project.\n\n```\nvariables:\n  DAST_WEBSITE: \u003Cproject URL>\n  DAST_FULL_SCAN_ENABLED: \"true\"\n  DAST_BROWSER_SCAN: \"true\" \n```\n\nIn this tutorial, we successfully deployed a Cloud Run application using GitLab's Auto DevOps. 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