Scalable backend services in Node.js and Go — REST, GraphQL, event-driven. Postgres, Redis, Kafka. AWS, GCP, Azure with infrastructure as code.
Scalable backend services — REST, GraphQL, event-driven.
We build scalable backend services in Node.js (NestJS, Fastify) and Go — REST APIs, GraphQL, gRPC and event-driven architectures (Kafka, RabbitMQ, SQS). We design databases in Postgres, MongoDB and Redis, with care for migrations, indexes and query performance. We deploy microservices and modular monoliths depending on need — on AWS, GCP and Azure, with infrastructure as code (Terraform, Pulumi). We handle integrations with external systems: ERP, CRM, data warehouses, payment systems and SMS gateways.
> What's included
Three real paths — modular monolith, microservices or event-driven. We help pick the one that fits your scale, team and budget, not the fashionable preset.
Node.js / NestJS / Postgres
A single deployable backend serving one app or product. REST or GraphQL, Postgres as the data backbone, Redis for cache. Fastest path to production, easy onboarding, low ops cost. The modular code layout allows later evolution toward microservices — no rewrite required.
Best for
MVP, single product, small team
Node.js / Go / gRPC / Kubernetes
Architecture for teams that need to deploy independently and serve multiple products on a single backend. Service mesh, observability (OpenTelemetry, Prometheus, Grafana), API contracts, distributed tracing. Higher ops cost — but scale and team independence are sometimes a necessity, not an aesthetic choice.
Best for
Multi-product, large team, independent deploys
Kafka / RabbitMQ / Temporal / SQS
Systems built around event streams — external system integrations, task queues, real-time data pipelines. Kafka or RabbitMQ as the backbone, Temporal for workflow orchestration, idempotent handlers, dead letter queues, retry policies. A great fit where REST APIs fall short.
Best for
Real-time, integrations, async processing
Lessons learned from backend services — databases, scaling, architecture, costs.
Three real projects, one nimble benchmark and a list of non-obvious trade-offs between the two most popular Node.js frameworks.
A practical map for large-table optimization: composite indexes, time-based partitioning, vacuum, autovacuum and reading EXPLAIN plans.
Four scenarios where we picked the wrong broker, plus a decision framework we leave behind as a keepsake.
Quote, consultation or audit — pick the path that fits. We'll take it from there.
Tell us about your idea — we deliver scope, timeline and cost in 5 days.
Fill the brief→ 0230-minute call with our tech lead about stack, architecture and risks.
Book a call→ 03We review code, architecture and performance. Report with a clear roadmap.
Start an audit