Custom IT Solutions & Backend

Every high-growth digital product is ultimately constrained by the strength of its backend. When database queries lock, memory leaks choke server instances, or API endpoints fail to scale under sudden traffic surges, user trust evaporates in seconds. The cost of technical debt in core infrastructure compounds rapidly.

At DotQ, backend engineering is treated as precision engineering. We design server systems capable of handling tens of thousands of concurrent requests while maintaining deterministic sub-10ms response times. By pairing compiled Go (Golang) microservices with Node.js TypeScript APIs, we deliver systems that remain rock-solid regardless of how fast your user base expands.

Synchronous HTTP requests are dangerous when handling complex business workflows like invoice generation, payment confirmations, or notification broadcasts. If a third-party gateway delays response, standard monolithic threads freeze, leading to cascading system-wide outages.

We decouple backend responsibilities using event-driven architectures powered by Redis Streams, RabbitMQ, and Apache Kafka. Incoming transactions are acknowledged instantaneously, while background worker pools process compute-heavy tasks asynchronously with guaranteed at-least-once delivery semantics and automated dead-letter queue isolation.

Databases are the single most difficult component of any architecture to scale retrospectively. We model relational structures in PostgreSQL with strict foreign keys, composite indexes, and normalized schemas. For high-read scenarios, we implement PgBouncer connection pooling alongside multi-level Redis caching, reducing database CPU load by up to 80%.

When schemas must evolve, we execute zero-downtime database migrations using expand-and-contract patterns. New columns are populated in parallel, existing client queries continue uninterrupted, and legacy data is cleanly phased out without a single second of maintenance window downtime.

We adhere strictly to Zero-Trust security principles across all backend endpoints. All incoming payloads are validated using strict Zod or Go struct validator schemas. User authentication utilizes short-lived JWT tokens paired with secure HTTP-only refresh token rotation and sliding-window Redis rate limiters.

Complete observability is integrated directly into every service. Prometheus metrics, Grafana visualization dashboards, and structured JSON logging provide your engineering leadership with immediate clarity on latency percentiles (p50, p95, p99), error rates, and resource utilization in real time.