CodeNinja delivers cloud migration, secure landing zone design, legacy modernization, and real-time data engineering on AWS, with AWS MAP funding built into the engagement structure and every architectural decision documented in your repositories at close.
Enterprise AI programs are designed around cloud-scale compute, managed inference, and governed data pipelines, but most on-premises estates were not built for any of these. Every quarter that gap persists is a quarter the AI roadmap does not move.
Enterprise AI programs are designed around cloud-scale compute, managed inference, and governed data pipelines, but most on-premises estates were not built for any of these. Every quarter that gap persists is a quarter the AI roadmap does not move.
A migration executed without a designed landing zone inherits the architectural debt of the estate it leaves. The landing zone design and wave sequencing set the trajectory of the cloud program for years, and correcting that architecture after migration begins costs a multiple of what an assessed plan would have prevented.
AWS MAP funding can materially reduce migration capital cost, but qualifying requires documentation prepared before the migration begins. Organizations that start without MAP assessment typically find the eligibility window has closed by the time they look for it.
Move to AWS, then modernize for what comes next.
WHAT TRANSFERS AT CLOSE
A secure, multi-account AWS landing zone your team operates independently, with every architectural decision documented in your repositories and CodeNinja access removed at close.
Trustworthy data, ready for analytics and AI.
WHAT TRANSFERS AT CLOSE
A governed lakehouse, streaming pipelines, and analytics infrastructure running inside your AWS accounts, with documentation, code repositories, and data catalogues transferred at close.
Move to AWS, then modernize for what comes next.
WHAT TRANSFERS AT CLOSE
A secure, multi-account AWS landing zone your team operates independently, with every architectural decision documented in your repositories and CodeNinja access removed at close.
Trustworthy data, ready for analytics and AI.
WHAT TRANSFERS AT CLOSE
A governed lakehouse, streaming pipelines, and analytics infrastructure running inside your AWS accounts, with documentation, code repositories, and data catalogues transferred at close.
Every migration CodeNinja delivers produces a landing zone your team controls, pipelines in your repositories, and architecture documentation that lives in your accounts. AWS MAP funding is structured into eligible engagements at design, not applied for after delivery. The three-pillar sovereignty architecture covering geographic sovereignty, model sovereignty, and full exit conditions is on the AWS Cloud Infrastructure page.
Before this service
The Migration Readiness Assessment produces the wave plan, landing zone design, and MAP funding documentation this engagement executes. If you do not yet have an assessed migration plan, start there.
After this Service
Once your estate is on AWS and your data pipelines are live, AI Systems and Agents builds the models, agents, and generative AI applications your AI roadmap requires.
Before scoping a migration, know which workloads move first, what the target architecture looks like, and whether your engagement qualifies for AWS MAP funding. The Sovereignty Audit delivers a migration wave plan, a landing zone design, and MAP documentation in two to four weeks.
Before scoping a migration, know which workloads move first, what the target architecture looks like, and whether your engagement qualifies for AWS MAP funding. The Sovereignty Audit delivers a migration wave plan, a landing zone design, and MAP documentation in two to four weeks.
What you receive:
Delivered in 2 to 4 weeks. No migration commitment required beyond the assessment itself.
