We evolve legacy financial systems into secure, observable, cloud-ready services — incrementally, behind test safety nets, while the platform keeps serving the business that relies on it.
A modernization path that ships value every phase — not a rewrite that ships risk once.
01
Assessment & target architecture
We map the real constraints — data, integrations, operations, business risk — and produce a pragmatic phased roadmap instead of a rewrite fantasy.
02
Test safety nets first
High-coverage automated suites and API mocking around current behavior before anything changes — so every refactor is provable and every regression is caught in CI, not production.
03
Incremental extraction
Strangler-fig migration of the riskiest pieces first: legacy cache layers to Redis, obsolete components to Spring Boot services, monolith seams into clean APIs — while the old system keeps serving traffic.
04
Containerization & cloud
Docker on Linux, then AWS ECS/ECR with S3, SNS and SQS where it earns its keep — including the on-premises-first path when regulation or economics demand it.
05
Observability & handover
Metrics, structured logging, runbooks and documented decisions — the platform ends up operable by your team, not dependent on us.
How we deliver
Four phases. Zero big bangs.
01
Stabilize
Tests, mocks and CI around the current behavior — change becomes safe before it becomes fast.
02
Extract incrementally
Replace the riskiest pieces first — cache, data access, brittle components — one provable step at a time.
03
Run in the new world
Containers, cloud, observability — and a handover that leaves your team in control.
Each phase ships working software — the legacy system retires piece by piece.
Modernization experience
Recent, hands-on and measurable.
Legacy API modernization at a national telecom
Refactored a legacy market-offering API to cloud-native standards: migrated the caching layer from Oracle Coherence to Redis — fully replacing legacy infrastructure — rebuilt obsolete components on Spring Boot, and introduced a high-coverage test suite, API mocking and CI improvements so every step was safe and incremental.
COHERENCE → REDIS · SPRING
On-premises to AWS at a major bank
Designed a containerized on-premises platform on Linux, Docker, Nginx and PostgreSQL — then planned and executed its migration to AWS ECS and ECR with S3, SNS and SQS integration, keeping the workflow platform serving the business throughout.