Case Study · Enterprise DevOps & Cloud Migration

Zero-Downtime Bitbucket Migration & Custom Azure DevOps Integration at Scale

Leading the successful migration of 3,000+ source code repositories to Atlassian Cloud for a premier African FinTech enterprise—preserving full historical data and engineering a serverless webhook relay to fix cross-platform CI/CD roadblocks.

Client IndustryFinTech / Financial Infrastructure
Ecosystem Scale1,500+ Org Employees / 300+ Engineers
Data Migrated3,000+ Repositories / 200+ Projects
Deployment ModelAtlassian Cloud Enterprise

The Challenge

Our client, one of Africa’s largest and most critical FinTech infrastructure companies, was operating on a self-hosted Bitbucket Data Center instance. While their project management and documentation systems had already transitioned to Jira Cloud and Confluence Cloud, their source code management remained isolated on-premises. This hybrid footprint caused immense administrative friction, security gaps, and high infrastructure overhead.

The technical mandate was uncompromising: migrate over 3,000 active repositories grouped across 200 high-level projects, impacting 300+ active core developers. The enterprise could not afford an operational blackout or risk single-point schema corruption. Every single pull request, branch structural metadata, fine-grained access control rule, and comprehensive commit history line had to be preserved with absolute cryptographic integrity.

The overarching engineering blocker emerged from their existing CI/CD architecture. The client’s development ecosystem relies heavily on Azure DevOps for pipeline orchestration. At the time, the native Azure DevOps pipeline setup wizard possessed a known structural limitation: it could not natively parse or trigger multi-branch azure-pipelines.yml configurations if the target repository lived within Bitbucket Cloud rather than on-premises Server or GitHub. Moving to the cloud threatened to immediately break pull request build triggers across hundreds of microservices.

The Strategic Solution

As the technical migration architect leading the engagement, I structured a zero-downtime execution roadmap spanning six weeks. Rather than attempting a sweeping, high-risk big-bang migration during operational hours, we separated architectural mapping, system synchronization, and identity provisioning into distinct, iterative phases.

To bypass the rigid native Azure-to-Bitbucket integration limitation, my team and I designed and deployed a custom **Serverless Webhook Relay Middleware**. Instead of using the default, broken visual pipeline setup wizard, we implemented a decoupled event-driven script. This custom intermediary captures webhook payloads fired directly from Bitbucket Cloud, precisely extracts target branch parameters and commit hashes, and dynamically invokes targeted pipeline execution targets through the secure Azure DevOps REST API.

Identity Orchestration Strategy: Unlike on-premises Data Center environments that communicate directly with internal corporate LDAP systems, Atlassian Cloud abstracts access mapping entirely. We configured and provisioned Atlassian Guard Standard paired with the client’s existing Azure Active Directory infrastructure. This step ensured unified corporate Single Sign-On (SSO) and continuous user directory synchronization, preventing unmanaged account fragmentation across all 300+ engineering profiles.

Phased Execution Plan

  1. Discovery & Workspace Architecture Mapping: Audited 200 Bitbucket Data Center projects to map accurate security groups and repository permissions ahead of time, ensuring 1:1 behavioral alignment in the new cloud workspace layout.
  2. CI/CD Custom Relay Implementation: Built, tested, and deployed the custom serverless webhook middleware to cleanly intercept pull request updates and safely trigger multi-branch pipelines across Azure DevOps accounts.
  3. Delta Staging & Dry Runs: Conducted offline sync testing over consecutive weeknights to bench-test data transfer rates, check metadata consistency, and uncover edge-case branch tracking errors before pushing to production.
  4. Zero-Downtime Production Cutover: Executed final synchronization tasks exclusively over weekend windows, switching the source Data Center instances into a secure read-only state. This phase prevented active development friction and resulted in zero operational weekday downtime.

The Results & Outcomes

The entire enterprise migration wrapped up precisely on schedule within the 6-week window, maintaining absolute data retention across all 3,000+ source code repositories. On Monday morning, the 300+ member engineering department logged in using standard corporate SSO, picking up active product cycles without missing a single commit.

The custom serverless webhook relay completely neutralized the Azure DevOps integration blocker, seamlessly processing multi-branch pull request pipelines with minimal execution latency. By transitioning out of legacy on-premises infrastructure, the organization completely unified its modern Jira, Confluence, and Bitbucket Cloud environments into a single secure tier, dramatically reducing engineering maintenance overhead and hardware operating costs.

← Back to all projects
Automated CI/CD PipelineNext →

Need something similar?

Let’s talk about what you need — no pitch, no pressure.

📅 Book A Call Send a message