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Cloud modernization

Legacy system modernization onto AWS

A decade-old on-premise application moved to AWS incrementally — with CI/CD, monitoring and zero big-bang cutover.

Illustrative scenario. Fictional regional services company. A fictional composite of the kind of work we do — not a real client engagement. Results marked [METRIC TO CONFIRM] are placeholders.

Client problem

Releases required a weekend and a checklist; nobody could reproduce the production environment.

Existing environment

  • Monolithic application on a single server
  • Nightly batch jobs
  • Manual backups

Challenge

Modernize while the business keeps running on the old system.

Solution

Infrastructure as code on AWS, containerized services extracted one capability at a time, staged data migration and parallel running before cutover.

Architecture

  1. 01Containerized services
  2. 02Managed PostgreSQL
  3. 03Queue-based batch processing
  4. 04CI/CD with canary releases
  5. 05Centralized logs, metrics and alerts

Technology

  • AWS
  • Docker
  • Infrastructure as code
  • CI/CD
  • PostgreSQL
  • Node.js
  • Monitoring

Workflow

  1. Assess and map
  2. Build landing zone as code
  3. Extract first capability
  4. Migrate data in stages
  5. Run in parallel
  6. Cut over and decommission

Result

  • [METRIC TO CONFIRM] release frequency increase
  • Reproducible environments from code
  • Automated, restore-tested backups

Technical highlights

  • No big-bang cutover
  • Automatic rollback on failed health checks
  • Cost tagging from day one

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  1. 01

    You tell us the problem

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  2. 02

    We map the system

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  3. 03

    You get an execution path

    Architecture, phased scope and a realistic estimate — yours to keep.