A user action — page load, button click, API call — fires an HTTPS request from a web or mobile client toward the backend.

Traffic hits a load balancer first. It distributes requests across multiple service instances using health checks, so no single node becomes a bottleneck and instances can scale horizontally.

Every request is validated at a single entry point — JWT verification, rate limiting, and request logging — before it's allowed to reach any internal service.

The request reaches an independently deployable service — each owning a single business capability (loans, documents, auth) — so teams can ship and scale them on their own schedule.

Before hitting the database, frequently accessed data is checked against Redis. Cache hits return in single-digit milliseconds, sparing the database from repetitive read load.

On a cache miss, the query hits PostgreSQL. Reads are routed to replicas while writes go to the primary, with indexing and query tuning keeping response times low even on large datasets.

For critical operations — like document delivery — automatic retries, fault-tolerant processing, and recovery mechanisms ensure nothing is silently lost, with monitoring surfacing failures in real time.