Bitbucket To Azure Devops

Bitbucket To Azure Devops

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#DevOps#Migration#Cloud#AzureDevOps#Bitbucket#CICD

Seamless Migration: How to Efficiently Transition from Bitbucket to Azure DevOps Without Disrupting Your CI/CD Pipeline

Most migration guides focus just on code transfer, but the real game-changer is how you handle your pipelines and automation. This tutorial flips the script by prioritizing continuous integration continuity to keep your team productive during the switch.


Why Moving Beyond Code Migration Matters

When organizations decide to migrate their code repositories from Bitbucket to Azure DevOps, it’s easy to think in terms of just pushing and pulling repositories. But modern software development is deeply integrated with CI/CD pipelines that automate builds, testing, and deployments. Disrupting these automated workflows can cause downtime, slow development velocity, and frustrate teams.

To avoid these pitfalls, it’s essential to adopt a systematic approach that not only moves your source code but also replicates and validates your CI/CD pipelines before fully switching over. By doing so, you ensure a smooth transition where daily developer activities remain uninterrupted—and you gain immediate access to Azure DevOps’ powerful integrated tools.


Step 1: Prepare Your Azure DevOps Environment

Before migrating anything:

  • Create an Azure DevOps Project: Log into https://dev.azure.com/, create a new project matching your team structure or business unit.
  • Set Up Repositories: In Azure Repos within your project, create new Git repositories where your Bitbucket repos will be imported.
  • Define Teams & Permissions: Map your existing user roles and permissions from Bitbucket to Azure DevOps users/groups for consistent access control.

Step 2: Migrate Your Git Repositories

Azure DevOps supports straightforward Git import:

  1. In Azure Repos, select Import a repository.
  2. Input your Bitbucket repo clone URL (HTTPS recommended).
  3. Provide credentials (username + app password for Bitbucket).
  4. Click Import and wait for completion.

Alternatively, you can migrate locally using the command line:

# Clone from Bitbucket
git clone --mirror https://bitbucket.org/yourteam/yourrepo.git
cd yourrepo.git

# Push mirror to Azure DevOps
git push --mirror https://dev.azure.com/yourorg/yourproject/_git/yourrepo

The --mirror flag ensures all branches, tags, and refs migrate intact.


Step 3: Audit and Replicate Pipelines

This is where many migrations stumble—simply moving source code won’t preserve your build/test/deploy pipelines from Bitbucket Pipelines or Bamboo.

How To Approach This:

  • Document Your Existing Pipelines
    Identify every step in your Bitbucket Pipelines YAML or build scripts (e.g., what triggers builds? What steps run?).

  • Map Pipeline Steps to Azure Pipelines Tasks
    Azure DevOps supports YAML pipelines with hundreds of built-in tasks for common build tools (Maven, Gradle, npm), testing frameworks, deployments to Azure services, Docker operations, etc. Match your existing steps accordingly.

  • Build a Test Pipeline Side-by-Side
    Create an Azure Pipelines YAML file in each newly imported repo under .azure-pipelines.yml.

Example simplified pipeline converting a Node.js build:

trigger:
  branches:
    include:
      - main

pool:
  vmImage: 'ubuntu-latest'

steps:
  - task: NodeTool@0
    inputs:
      versionSpec: '16.x'
    displayName: 'Install Node.js'
  
  - script: |
      npm install
      npm run build
      npm test
    displayName: 'Install dependencies and run build/test'

Step 4: Run Validation Builds Without Affecting Production

Before switching fully:

  1. Enable continuous integration on both platforms temporarily.
  2. Trigger builds manually or by pushing a test commit.
  3. Compare results between Bitbucket Pipelines and Azure Pipelines.
  4. Adjust pipeline YAML or tasks until parity is achieved—ensure tests pass and artifacts generate as expected.

Step 5: Migrate Additional Assets and Integrations

Take inventory of elements outside source control such as:

  • Docker registries
  • Artifact feeds
  • Service connections (Azure subscriptions, Kubernetes clusters)
  • Release pipelines

You’ll need to recreate service endpoints in Azure DevOps service connections and migrate or reconfigure release definitions under Pipelines > Releases or convert release logic into multi-stage YAML pipelines for easier maintenance.


Step 6: Final Cutover And Monitoring

Once confident in the new pipelines’ reliability:

  • Coordinate with teams about the final cutover date/time.
  • Disable pushes/triggers on Bitbucket repos.
  • Inform developers they should now push code only to Azure Repos.
  • Monitor pipeline runs closely during initial days for anomalies.
  • Provide support for any quick fixes needed post-migration.

Bonus Tips For A Smooth Migration

  • Automate as Much As Possible: Leverage Az CLI or REST APIs for bulk creation of projects, repos, pipelines.
  • Use Built-In Migration Tools: Explore Microsoft’s Bitbucket Cloud Importer for partial automation.
  • Backup All Data: Keep offline mirror copies before migration in case rollback needed.
  • Train Your Team: Share docs on how to use Azure Boards/Pipelines etc., especially if they weren’t users before.
  • Consider Parallel Runs: Run old/new environments side by side for longer periods if mission-critical apps demand it.

Conclusion

Migrating from Bitbucket to Azure DevOps is more than just copying repositories—it's about thoughtfully recreating and validating your entire CI/CD workflow without downtime. By prioritizing pipeline continuity through pre-migration validation and parallel run strategies, you can unlock benefits like tighter integration with other Microsoft services while maintaining developer productivity throughout the transition.

If you approach migration methodically—with detailed planning around pipelines especially—you won’t just move code; you’ll move faster into modern DevOps on Azure with confidence.


Feel free to ask any questions if you want help crafting specific pipeline configurations or tackling tricky integrations!