[{"data":1,"prerenderedAt":718},["ShallowReactive",2],{"/en-us/blog/migrating-from-bamboo-to-gitlab-cicd/":3,"navigation-en-us":35,"banner-en-us":464,"footer-en-us":481,"Abubakar Siddiq Ango":690,"next-steps-en-us":703},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":25,"_id":28,"_type":29,"title":30,"_source":31,"_file":32,"_stem":33,"_extension":34},"/en-us/blog/migrating-from-bamboo-to-gitlab-cicd","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 migrate from Bamboo to GitLab CI/CD","With the fast approaching EOL of Atlassian Server products, including Bamboo, this blog post explains how users of Bamboo can migrate to GitLab CI/CD.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749658924/Blog/Hero%20Images/securitylifecycle-light.png","https://about.gitlab.com/blog/migrating-from-bamboo-to-gitlab-cicd","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"How to migrate from Bamboo to GitLab CI/CD\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Abubakar Siddiq Ango\"}],\n        \"datePublished\": \"2023-10-26\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Abubakar Siddiq Ango","2023-10-26","_Atlassian is ending support for all Server products in February 2024.\n[Learn more about the benefits of migrating from Atlassian to GitLab\nhere](https://about.gitlab.com/move-to-gitlab-from-atlassian/)._\n\n\nThe clock is ticking towards the February 15, 2024, [end-of-life date\nAtlassian has set for their Server\nproducts](https://about.gitlab.com/blog/atlassian-server-ending-move-to-a-single-devsecops-platform/).\nUsers whose workflows rely on on-premises deployments of Atlassian Server\nproducts are faced with the choice of upgrading to Atlassian’s Data Center\nor Cloud products or finding alternatives. \n\n\nOne of the Atlassian products that is impacted is Bamboo, a CI/CD solution.\nWhether you're simply looking for a new CI/CD tool or you're looking to\nconsolidate your entire toolchain, the Atlassian Server end of life is a\ngreat opportunity to make the move to GitLab to take advantage of the\nautomation, scalability, and security of an end-to-end DevSecOps platform.\n\n\nIn this blog post, we'll cover the steps you can take to migrate your Bamboo\nCI/CD setup to GitLab CI/CD.\n\n\n## How is GitLab CI/CD different from Bamboo?\n\n\n### Organization\n\n\nBamboo is structured around Projects and Plans. CI/CD jobs are grouped into\nstages, which are defined in a Bamboo plan along with other configurations\nthat determine how jobs run. Bamboo projects are used to organize plans,\nwhich are classified into Build and Deployment plans. \n\n\nAs the name implies, Build plans can be configured to pull code from\nconfigured repositories and generate artifacts. These artifacts are picked\nby jobs defined in Deployment plans and are deployed to environments\nconfigured in Bamboo. Bamboo jobs are also composed of tasks, which can be a\nscript, a task to pull code from a repository, or a task specific to a\ntechnology.\n\n\nYou also need to add code repositories to a Bamboo plan or a project, making\nit available to all plans under it, and set triggers for how Bamboo detects\nchanges and runs builds.\n\n\nGitLab is organized differently. Everything is in a single platform, with\nyour CI/CD configuration provided as part of your code in a `.gitlab-ci.yml`\nfile, from a group’s compliance pipeline configuration, or Auto DevOps when\nenabled and the `.gitlab-ci.yml` file is not found in a project.\n\n\nGitlab CI/CD configurations are composed of jobs, grouped into stages. How\nthe jobs are triggered can be controlled by CI/CD `rules` and there is no\nseparate configuration for deployments. Deployment jobs can be defined in\nthe same CI/CD script in a `deploy` stage, with the [deployment\nenvironment](https://docs.gitlab.com/ee/ci/environments/) set.\n\n\n### Agents vs Runners\n\n\nBamboo uses\n[Agents](https://confluence.atlassian.com/confeval/development-tools-evaluator-resources/bamboo/bamboo-remote-agents-and-local-agents)\n\nto run builds and deployments. These can be local agents running on the\nBamboo server or\n\nremote agents running external to the server. GitLab uses a similar concept\nto agents,\n\ncalled [GitLab Runner](https://docs.gitlab.com/runner/), which uses\n[executors](https://docs.gitlab.com/runner/executors/)\n\nto run builds. Examples of executors include SSH, Docker, and Kubernetes.\nYou can choose to\n\nuse GitLab [SaaS runners](https://docs.gitlab.com/ee/ci/runners/) or deploy\nyour own [self-managed\nrunners](https://docs.gitlab.com/runner/install/index.html).\n\n\n### Bamboo Specs vs .gitlab-ci.yml file\n\n\nBamboo is largely configured via the Bamboo UI but can also be configured as\ncode using Bamboo Specs. Bamboo Specs can be defined using Java and other\nJVM languages or using YAML, with Java having more complete feature coverage\nthan YAML. Bamboo Specs can be defined and stored in spec repositories, then\nlinked to Bamboo projects.\n\n\nThe `.gitlab-ci.yml` file is central to the CI/CD workflow in GitLab. When\nincluded in a project, the defined configurations are executed against the\nproject; otherwise, [Auto\nDevOps](https://docs.gitlab.com/ee/topics/autodevops/) automatically builds\nand deploys your application, when enabled. Templates and CI/CD components\ncan also be added to `.gitlab-ci.yml` for complex use cases.\n\n\n## How GitLab steps up your workflow\n\n\nIn addition to building and deploying your application, GitLab provides a\nsuite of features that allows for building secure applications fast and\nefficiently. These include:\n\n\n- [Application\nsecurity](https://docs.gitlab.com/ee/user/application_security/): GitLab\nanalyzes your application across the stages of the software development\nlifecycle with security scans such as Static Application Security Testing\n(SAST), Secret Detection, Infrastructure as Code (IaC) Scanning, Dependency\nScanning, License Scanning, Coverage-guided Fuzz Testing, Container\nScanning, API Security, Dynamic Application Security Testing (DAST), and\nOperational Security Scanning.\n\n- Compliance and security policies: Understanding the results of security\nscans and putting policies in place is crucial to ensuring secure\napplications. You can set up Scan Execution or Result policies to ensure\nadditional scans or approval requirements are added to comply with\nregulatory or self-imposed requirements.\n\n- [CI/CD catalog](https://docs.gitlab.com/ee/ci/components/catalog.html):\nParts of CI/CD configurations that are used across multiple projects can be\nturned into\n[components](https://docs.gitlab.com/ee/ci/components/index.html#components-repository)\nstored in component repositories that are discoverable in the CI/CD catalog.\n\n- Packages and registries: Custom or local replicas of popular packages can\nbe hosted with the [GitLab Package\nRegistry](https://docs.gitlab.com/ee/user/packages/package_registry/index.html).\nYou can also host container images with the [GitLab Container\nRegistry](https://docs.gitlab.com/ee/user/packages/container_registry/index.html)\nand Terraform modules with the [GitLab Terraform Module\nRegistry](https://docs.gitlab.com/ee/user/packages/terraform_module_registry/index.html).\nIf you frequently use public images or packages, you can use the [Dependency\nProxy](https://docs.gitlab.com/ee/user/packages/dependency_proxy/index.html)\nto maintain a local cache.\n\n\n[Learn more about other ways to automate your entire workflow with GitLab\nCI/CD](https://about.gitlab.com/solutions/continuous-integration/).\n\n\n## Convert Bamboo Specs to .gitlab-ci.yml script\n\n\nFor the purpose of this blog post, we will focus on [Bamboo YAML\nSpecs](https://docs.atlassian.com/bamboo-specs-docs/9.3.0/specs.html?yaml).\nYou can export your Bamboo Plans as YAML Spec — [learn more\nhere](https://confluence.atlassian.com/bamboo/exporting-existing-plan-configuration-to-bamboo-yaml-specs-1018270696.html).\nNow, lets walk through converting your Bamboo YAML Specs into GitLab CI/CD\nconfiguration.\n\n\n### Container image\n\n\nFirst is defining the container image of the container your jobs will run\nin. By default, Bamboo uses Agents, which depend on how the host machines\nare configured. You can replicate the Agent’s environment into a container\nimage hosted in the [GitLab Container\nRegistry](https://docs.gitlab.com/ee/user/packages/container_registry/).  \n\n\nIf you already run Bamboo jobs in a container image, it will look like this\nin your spec:\n\n\n```yaml\n\n---\n\nversion: 2\n\n# ...\n\ndocker: ubuntu\n\n```\n\n\nThis might be defined at the plan or job level. You can define it in GitLab\nas follows:\n\n\n```yaml\n\nimage: ubuntu\n\n```\n\n\n[Learn more about running CI/CD jobs in containers\nhere](https://docs.gitlab.com/ee/ci/docker/using_docker_images.html). If\nyour use case does not include containers, you can explore [other\nexecutors](https://docs.gitlab.com/runner/executors/).\n\n\n### Stages\n\n\nIn Bamboo, stages and their list of jobs are defined first, before the job\ndefinitions:\n\n\n```yaml\n\nversion: 2\n\nstages:\n  - First Stage:\n      jobs:\n        - Job 1A \n        - Job 1B\n  - Second Stage:\n      jobs:\n        - Job 2A \n        - Job 2B\n\nJob 1A:\n  tasks:\n    - clean\n    - script\n        - touch file1A.txt\n\nJob 1B:\n  tasks:\n    - clean\n    - script\n        - touch file1B.txt\n\nJob 2A:\n  tasks:\n    - clean\n    - script\n        - touch file2A.txt\n\nJob 2B:\n  tasks:\n    - clean\n    - script\n        - touch file2B.txt\n```\n\n\nIn GitLab, you list your stages in the order in which you want their jobs to\nrun:\n\n\n```yaml\n\nstages:\n  - build\n  - test\n  - deploy\n\njob1:\n  stage: build\n  script:\n    - echo \"This job compiles code.\"\n\njob2:\n  stage: test\n  script:\n    - echo \"This job tests the compiled code. It runs when the build stage completes.\"\n\njob3:\n  script:\n    - echo \"This job also runs in the test stage\".\n\njob4:\n  stage: deploy\n  script:\n    - echo \"This job deploys the code. It runs when the test stage completes.\"\n  environment: production\n```\n\n\nAll the jobs in a stage run in parallel and when they succeed, execution\nproceeds to the next stage. This only changes in complex pipelines where a\njob depends on another using\n[`needs`](https://docs.gitlab.com/ee/ci/yaml/index.html#needs).\n\n\n### Variables\n\n\nBamboo has System, Global, Project, Plan, and Build-specific variables,\nwhich can be accessed using the format `${system.variableName}` for system\nvariables and `${bamboo.variableName}` for others. Periods (.) are replaced\nby underscores (_) when variables are accessed in scripts.\n\n\n```yaml\n\nversion: 2\n\n# ...\n\nvariables:\n  username: admin\n  releaseType: milestone\n\nDefault job:\n  tasks:\n    - script: echo 'Release Type is $bamboo_releaseType'\n```\n\n\nIn GitLab, variables can be defined at group, project, CI Script, and job\nlevels. In GitLab self-managed and GitLab Dedicated, administrators can\ndefine variables at the instance level. GitLab allows protecting, masking,\nand expanding variables. Protected variables are only accessible for\npipelines running against the default or protected branches. [Learn more\nabout CI/CD variables](https://docs.gitlab.com/ee/ci/variables/index.html)\nand [where you can use\nthem](https://docs.gitlab.com/ee/ci/variables/where_variables_can_be_used.html).\n\n\nHere is an example:\n\n\n```yaml\n\nvariables:\n  GLOBAL_VAR: \"A global variable\"\n\njob1:\n  variables:\n    JOB_VAR: \"A job variable\"\n  script:\n    - echo \"Variables are '$GLOBAL_VAR' and '$JOB_VAR'\"\n\njob2:\n  script:\n    - echo \"Variables are '$GLOBAL_VAR' and '$JOB_VAR'\"\n```\n\n\n### Build Jobs\n\n\nBamboo Build Jobs are composed of tasks, each of which is a small unit of\nwork that can be anything from checking out source code to injecting\nvariables or running a script.\n\n\n```yaml\n\nversion: 2\n\nstages:\n  - Run Tests:\n      jobs:\n        - Test Ruby \n\nTest Ruby :\n  key: TEST\n  tasks:\n  - checkout:\n      force-clean-build: false\n      description: Checkout Default Repository\n  - script:\n      interpreter: SHELL\n      scripts:\n      - |-\n        ruby -v  # Print out ruby version for debugging\n        bundle config set --local deployment true  \n        bundle install -j $(nproc)\n        rubocop\n        rspec spec\n      description: run bundler & rspec\n\n```\n\n\nIn this example, the plan has two tasks, checkout and script. The checkout\ntasks pull an updated version of the code repository, which is made\navailable for the script task to execute its commands against. \n\n\n[Jobs in GitLab](https://docs.gitlab.com/ee/ci/jobs/) are composed of script\ncommands:\n\n\n```\n\nimage: ruby:latest\n\n\nstages:\n  - test\n\nrspec:\n  stage: test\n  script:\n    - ruby -v\n    - bundle config set --local deployment true \n    - bundle install -j $(nproc)\n    - rubocop\n    - rspec spec\n```\n\n\nIn the example above, the stage the job belongs to is specified with the\n`stage` keyword and the commands to be executed by the GitLab runner for the\njob are listed under `script`.\n\n\nIn Bamboo, you can use\n[executables](https://confluence.atlassian.com/bamboo/defining-a-new-executable-capability-289277164.html),\nsuch as Ant, Maven, or PHPUnit, in a task to build your application. In\nGitLab, you can package the binaries you need in a custom container image\nand use it as your CI/CD image.\n\n\n### Deployment jobs\n\n\nIn Bamboo, Deployment projects organize software releases or environments\napplications are deployed to. A deployment plan can have a release\ndefinition:\n\n\n```yaml\n\n---\n\nversion: 2\n\n\ndeployment:\n  name: Release Software\n  source-plan: BUILD-APP\n\nrelease-naming: release-1.1\n\n```\n\n\nFor releases, you specify the plan it should get the generated artifacts\nfrom. And for deployment for environments:\n\n\n```yaml\n\n---\n\nversion: 2\n\n# ...\n\nenvironments:\n  - Test\n  - QA\n  - Prod\n\nTest:\n  tasks:\n    - clean\n    - artifact-download:\n        destination: /workdir\n```\n\n\nIn GitLab CI/CD, you can create a [deployment\njob](https://docs.gitlab.com/ee/ci/jobs/#deployment-jobs)\n\nthat deploys to an\n[environment](https://docs.gitlab.com/ee/ci/environments/index.html) or\ncreate a [release](https://docs.gitlab.com/ee/user/project/releases/).\n\nFor deploying to an environment, you use the\n[`environment`](https://docs.gitlab.com/ee/ci/yaml/#environment) keyword:\n\n\n```yaml\n\ndeploy-to-production:\n  stage: deploy\n  script:\n    - # Run Deployment script\n    - ./.ci/deploy_prod.sh\n  environment:\n    name: production\n```\n\n\nIf you are creating a release instead, you use the\n[`release`](https://docs.gitlab.com/ee/ci/yaml/#release)\n\nkeyword along with the\n[release-cli](https://gitlab.com/gitlab-org/release-cli/-/tree/master/docs)\n\ntool to create releases for [Git\ntags](https://docs.gitlab.com/ee/user/project/repository/tags/).\n\nThe `release` section is executed after the `script` section, which must\nexist.\n\nIf you don’t have any script commands to run, you can put a placeholder\ncommand;\n\nfor example, `echo` a message.\n\n\n```yaml\n\nrelease_job:\n  stage: release\n  image: registry.gitlab.com/gitlab-org/release-cli:latest\n  rules:\n    - if: $CI_COMMIT_TAG                  # Run this job when a tag is created manually\n  script:\n    - echo \"Building release version\"\n  release:\n    tag_name: $CI_COMMIT_TAG\n    name: 'Release $CI_COMMIT_TAG'\n    description: 'Release created using the release-cli.'\n```\n\n\n### Rules and workflows\n\n\nIn Bamboo, triggers can be used to control how Jobs are executed. Triggers\ncan be a periodic poll of the repository for changes or a webhook that\nnotifies Bamboo of changes to the repository. Trigger conditions can be\nenabled in the Bamboo web UI to make sure the build only runs if other plans\nare passing.\n\n\nExample of a trigger:\n\n\n```yaml\n\n---\n\nversion: 2\n\ntriggers:\n  - polling: 130\n  - cron: 0 * * * ? *\n```\n\n\nIn GitLab, [CI/CD pipelines](https://docs.gitlab.com/ee/ci/pipelines/) can\nbe triggered by a commit/push, a merge, manually, on schedule, or with\n[pipeline\nsubscriptions](https://docs.gitlab.com/ee/ci/pipelines/#trigger-a-pipeline-when-an-upstream-project-is-rebuilt).\nJobs in a pipeline can further be controlled using `rules` or `workflow`.\nLearn more about [Job\nControl](https://docs.gitlab.com/ee/ci/jobs/job_control.html) and [pipeline\nworkflows](https://docs.gitlab.com/ee/ci/yaml/workflow.html#) in GitLab\nCI/CD. \n\n\nHere's an example using `rules` in GitLab CI/CD:\n\n\n```yaml\n\nworkflow:\n  rules:\n    - changes:\n      - .gitlab/**/**.md\n      when: never\n```\n In this example, pipelines are never executed when `.md` files changed in the `.gitlab` folder.\n\n#### Artifacts\n\n\nYou can define Job artifacts using the `artifacts` keyword in both GitLab\nand Bamboo.\n\n\nIn Bamboo, artifacts can be defined as follows:\n\n\n```yaml\n\n---\n\nversion: 2\n\n# ...\n  artifacts:\n    -\n      name: Test Reports\n      location: target/reports\n      pattern: '*.xml'\n      required: false\n      shared: false\n    -\n      name: Special Reports\n      location: target/reports\n      pattern: 'special/*.xml'\n      shared: true\n```\n\n\nIn the Bamboo Spec above, artifacts are defined with a name, location,\npattern, and optionally\n\nthe ability to share the artifacts with other jobs or plans. You can go\nfurther to define jobs that\n\ncan subscribe to the artifact.\n\n\n`artifact-subscriptions` is used to access artifacts from another job in the\nsame plan:\n\n\n```yaml\n\nTest app:\n  artifact-subscriptions:\n    -\n      artifact: Test Reports\n      destination: deploy\n```\n\n\n`artifact-download` is used to access artifacts from jobs in a different\nplan.\n\n\n```yaml\n\n---\n\nversion: 2\n\n# ...\n  tasks:\n    - artifact-download: \n        source-plan: PROJECTKEY-PLANKEY\n```\n\n\nYou need to provide the key of the plan you are downloading artifacts from\nin the `source-plan` keyword.\n\n\nIn GitLab, all artifacts from completed jobs in the previous stages are\ndownloaded by default.\n\nHere is an example of an artifact definition in GitLab:\n\n\n```yaml\n\npdf:\n  script: xelatex mycv.tex\n  artifacts:\n    name: \"pdf-files\"\n    public: false\n    untracked: true\n    paths:\n      - pdfs/\n    exclude:\n      - pdfs/*.tex\n```\n\n\nIn the CI/CD script above:\n\n\n- The name of the artifact is specified laterally. You can choose to make it\ndynamic by using a CI/CD variable.\n\n- The `public` keyword is used to set whether the artifact should be\npublicly available. This is not enabled by default\n  on self-managed GitLab instances. An administrator can enable it with the [feature flag](https://docs.gitlab.com/ee/administration/feature_flags/)\n  named `non_public_artifacts`.\n- You can set the `untracked` to include or exclude Git untracked files\nalong with those specified using `paths`.\n\n\nRead more about GitLab CI/CD [job\nartifacts](https://docs.gitlab.com/ee/ci/jobs/job_artifacts.html).\n\n\n## How to plan your migration\n\n\nPlanning a migration to Gitlab CI/CD from Bamboo doesn't start with\nconverting your Bamboo plan to GitLab CI/CD scripts. It starts with aligning\nwith your leadership and stakeholders and clearly communicating the vision\nof the migration. [Check out our documentation to learn more about managing\norganizational\nchanges](https://docs.gitlab.com/ee/ci/migration/plan_a_migration.html).\nOnce you have the necessary buy-in, you can proceed with the following\nsteps:\n\n\n- [Import your projects](https://docs.gitlab.com/ee/user/project/import/) to\nGitLab.\n\n- Identify the necessary binaries and build tools needed to build your\napplication, along with their dependencies.\n\n- Define the flow of your pipeline, which jobs depend on each other, and the\nnecessary triggers.\n\n- Learn more about [key GitLab CI/CD\nfeatures](https://docs.gitlab.com/ee/ci/index.html).\n\n- Identify the credentials and variables needed in your pipeline and define\nthem in the variable section of your project's CI/CD settings or using a\nsecret manager.\n\n- Follow [this\ntutorial](https://docs.gitlab.com/ee/ci/quick_start/index.html) to create\nyour first GitLab pipeline; you can also explore more [complex\npipelines](https://docs.gitlab.com/ee/ci/quick_start/tutorial.html).\n\n- Iterate and test your GitLab CI/CD pipelines and review [.gitlab-ci.yml\nkeyword reference](https://docs.gitlab.com/ee/ci/yaml/index.html).\n\n\nReady to make the move? 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