Architecture & Databases

We draw systems that are simple to evolve

We strive for operational simplicity: clear API contracts, decoupled domains, explicit boundaries. Architecture choices are context‑driven and reversible. We set up observability from the start (logs, metrics, traces) and runbooks that make operations calm.

The worst complexities often come from data: we work on modeling, indexing, partitioning and zero‑downtime migrations. We anticipate growth, handle retention and governance, and ensure confidentiality at rest and in transit.

We optimize performance and reliability

We observe, measure and address bottlenecks by impact: caches, queues, index strategies, storage choices, pooling, network tuning. Resilience is achieved through redundancy, backoff, idempotency and explicit error policies. Load and chaos tests validate assumptions before prod.

Delivery remains smooth thanks to stable pipelines, orchestrated migrations and progressive deployment strategies. Cloud costs are governed and regularly reviewed to avoid drift.

We modernize without a big bang

Replatforming, heavy monoliths, fragile dependencies: we prefer incremental modernization (strangler pattern, anti‑corruption layer). We secure the path with tests, regression metrics and a rollback plan. Teams stay focused on value while architecture improves through controlled steps.

Handover is included: ADRs, up‑to‑date diagrams, operations and troubleshooting docs. Your team gains autonomy and predictability.