Infrastructure Foundation Platform on AWS

AI-led modernisation foundation enabling controlled transformation of legacy estates into governed, cloud-native platforms
Design Intent

This design assumes a centrally governed modernisation programme where transformation is platform-led rather than project-driven, with clear separation between assessment, transformation, and runtime ownership. Control is enforced through identity and policy-led governance, ensuring every workload transition is validated before production scale. Consumption follows a pipeline-first discipline, preventing unmanaged migrations and enforcing repeatable transformation patterns. AWS provides the execution context, anchored through AWS IAM Identity Center and AWS Control Tower to maintain access discipline and environment governance.

Design
Design Walkthrough
  • Separating legacy assessment from transformation ensures dependencies are understood before change begins, preventing blind migrations and reducing downstream rework (AWS Application Discovery Service, AWS Migration Hub)
  • Centralising transformation within a factory model enforces standardised refactoring patterns, avoiding fragmented approaches and enabling repeatable modernisation at scale (Amazon Bedrock, Amazon Q Developer, AWS CodePipeline)
  • Introducing mandatory validation checkpoints ensures only compliant and production-ready workloads progress, preventing unstable or incomplete migrations from reaching runtime environments (AWS CodePipeline, Amazon ECR)
  • Deploying into abstracted runtime layers decouples application logic from infrastructure concerns, enabling scalability while preventing tight coupling to legacy constructs (Amazon EKS, AWS Lambda, Amazon ECS)
  • Mediating all integrations through managed interfaces ensures consistent access control and prevents uncontrolled system-to-system dependencies (Amazon API Gateway, Amazon RDS, Amazon S3).
  • Embedding monitoring and optimisation as a continuous layer ensures performance, cost, and security are actively governed, preventing drift after modernisation is complete (Amazon CloudWatch, AWS Security Hub, Amazon GuardDuty)
Operational Outcomes
Enables
  • Controlled and repeatable modernisation across diverse legacy estates
  • Reduced migration risk through structured validation and approvals
  • Standardised deployment patterns across modern workloads
  • Continuous operational visibility and optimisation post-migration
Good fit when
  • Legacy environments lack clear dependency mapping and governance
  • Modernisation efforts are fragmented across teams and initiatives
  • There is a need to balance speed with control during transformation
  • Enterprise workloads must transition without disrupting operations
This reference architecture reflects patterns we see when enterprises attempt to standardise platforms while still allowing teams to move at different speeds.

A practical way to understand whether our approach fits your operating reality.

© 2026 Chavan. All rights reserved
© 2026 Chavan. All rights reserved