Move off on-prem or Unify multiple Organizations.
We lift enterprise workloads, pipelines and history out of legacy data centres into Azure — then automate what used to be manual. Migration, modernization, engineering and QA delivered by one accountable team.
- 60+
- Projects migrated
- 60%
- Average run-cost saved
- 0
- Data loss migrations
Capabilities
One team for the whole journey — not six vendors
Most migrations stall because planning, engineering and testing live in different companies. We own the outcome end to end.
Discovery, dependency mapping and wave planning, then migration of various DevOps organizations.
- Assessment (TCO model, if required)
- Data & DevOps history migration
- Cutover with zero data loss
Rearchitect monoliths into containers, managed services and serverless so migration pays for itself instead of moving the same bill.
- Modularization & Containerization of monolith applications/pipeline workloads/Databases etc.
- Targeted as managed PaaS environments
- Cost & resilience tuning
CI/CD pipelines, infrastructure as code and release gates that replace ticket-driven handoffs with repeatable, auditable delivery.
- Azure DevOps & GitHub Actions
- Terraform / Bicep IaC
- Environment provisioning
Automate approvals, reporting, provisioning and back-office toil with Power Platform, Logic Apps, Step Functions and custom services.
- Integration & API orchestration
- Scheduled & event-driven jobs
- Human-in-the-loop approvals
Product-minded engineering squads building cloud-native web, data and integration platforms on the foundation we just migrated.
- .NET, Node & React
- Event-driven architecture
- Secure by default
Automated regression, performance and migration-validation suites that prove the cloud environment behaves exactly like the one you left.
- Playwright & API automation
- Load & failover testing
- Data reconciliation checks
Method
A migration you can rehearse
Nothing goes to production untested. Every wave is dry-run against a mirrored environment and validated with automated reconciliation before the switch.
- 01
Assess
- Automated discovery of legacy TFS or Azure DevOps organizations to estimate the workload
- Initial suggestion on migration approach
- Possible timeline on initial Simulation for verification and Production migration
- 02
Plan waves
- Workloads grouped into migration waves after quantifying workload
- Timelines for Simulation and Production migration
- 03
Migrate & modernize
- Simulation completion
- Verification sign-off before Production migration
- Production migration
Platforms
Deep on Azure, honest about what stays on-prem
Azure DevOps done properly
We migrate TFS/Azure DevOps Server collections to Azure DevOps Services with Users, Work items, repositories (GIT and/or TFVC), Pipelines and Test Plans/Suites, Feeds/Artifacts etc..
Start with migration assessment
Generally takes a week or two, provided the adequate access is provided on the current organizations. This can be fixed in the prior calls. Typically, this is fixed cost activity, after which you have clarity on the following -
- Dependency and readiness map of your current organizations
- Estimation for your migration workloads
- High level Simulation/Migration plan with risks, owners and cutover windows