Modernise the parts that hurt most—not everything at once.

• Provide access to the existing codebase, infrastructure, and deployment processes.
• Identify critical business workflows and acceptable downtime windows.
• Assign team members for knowledge transfer and testing.
• Communicate the modernisation plan and timeline to stakeholders.
• Make decisions on scope trade-offs between modernisation and new feature development.

• Incremental modernisation means running old and new code in parallel until the transition is complete.
• Feature flags and API versioning enable gradual migration without breaking existing consumers.
• Containerisation (Docker, orchestration) provides consistent environments across development, testing, and production.
• Database migrations require careful planning for schema changes, data integrity, and rollback paths.
• CI/CD pipelines should be established before significant code changes are made.

• Outdated dependencies with known vulnerabilities must be addressed early in the modernisation process.
• Secrets management must be improved as part of the migration (removing hardcoded credentials, using vault solutions).
• Network security groups, firewall rules, and TLS configuration should be reviewed and updated.
• Access controls for the new deployment infrastructure must follow the principle of least privilege.
• Security scanning (SAST, dependency scanning) should be integrated into the CI/CD pipeline.

Duration depends on the size and complexity of the codebase, the number of integration points, the depth of architectural change, and the risk tolerance for downtime. A focused dependency upgrade with test coverage improvements can take weeks. A full modernisation involving framework migration, database changes, and cloud migration is typically planned in quarters rather than weeks. The staged approach means value is delivered incrementally—the highest-risk areas are addressed first.

An estimate needs a clear problem description, target users, key workflows, constraints, and integration points. Pricing and timelines are only given for an agreed, engagement-specific scope.

Rarely. Full rewrites are high-risk, remove business value during the transition, and often introduce new problems. Our approach is to modernise incrementally—replacing the highest-risk or highest-friction parts first while keeping the application operational. Most systems benefit from staged modernisation rather than a complete rewrite.

Zero-downtime database migrations use strategies such as expand-and-migrate (adding new columns and backfilling data before removing old columns), blue-green deployments with replicated databases, and application-level backward compatibility. The specific strategy depends on the database system, schema complexity, and acceptable risk.

We treat legacy code assessment as a separate discovery phase. Understanding the existing system—its architecture, data model, and operational behaviour—is the first step before any modernisation work begins. The assessment produces documentation that reduces reliance on undocumented knowledge.