Legacy to Cloud-Native
Transformation

We use the Strangler Fig pattern — a proven approach where new cloud-native components are built alongside the legacy system, and traffic is gradually redirected to new components as they are validated in production. This allows old and new systems to run in parallel during migration, with zero forced downtime and the ability to roll back individual components if issues arise. We also implement feature flags and canary deployments before each release.

A focused modernisation project — migrating a single service, rebuilding a specific module, or implementing CI/CD for an existing application — typically takes 8–12 weeks. A comprehensive platform modernisation, decomposing a monolith into microservices with full infrastructure-as-code and observability, typically spans 4–9 months depending on application complexity and team size. We provide a fixed-price assessment after a two-week discovery sprint.

We are cloud-agnostic and work with all three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). We have specialist experience with EKS, AKS, and GKE for container orchestration; AWS Lambda, Azure Functions, and GCP Cloud Run for serverless workloads; and Terraform and Pulumi for infrastructure-as-code across all providers. We recommend the platform that best matches your existing investment and team skills.

Microservices architecture decomposes a large application into small, independently deployable services — each responsible for a single business capability. Each service can be deployed, scaled, and updated independently without affecting others. Microservices work best for applications with multiple distinct business domains, high traffic with variable scaling needs, and multiple teams working independently. For smaller applications or early-stage products, a well-structured monolith is often more practical.

DevOps transformation is adopting automated software delivery practices that reduce time from code commit to production deployment — typically from weeks or months to hours or days. This includes implementing CI/CD pipelines, infrastructure-as-code, automated testing suites that run on every code change, and observability tooling so teams detect and respond to production issues faster. We implement DevOps as a complete engineering practice, including team training and refined working practices alongside technical implementation.

Data safety is our highest priority in every migration engagement. We implement database migration strategies that maintain zero data loss: either dual-write architectures or continuous replication with regular validation checks. Before any data migration, we establish complete backups with tested restore procedures. All cutover activities are performed during low-traffic windows with pre-agreed rollback plans. We maintain the legacy system as a read-only fallback for a minimum of 30 days post-cutover.