REST APIs
Express or Fastify APIs with request validation (Zod), error taxonomy, OpenAPI docs, and structured logging.
REST and GraphQL APIs, background workers, webhooks, and middleware — written in TypeScript, deployed with health checks, and operated under observability.
Node.js gets a bad rap from poorly-written codebases — but well-structured Node applications are some of the most maintainable and operable systems we ship.
TypeScript everywhere. Validation at every boundary. Structured logging. Idempotent mutations. Background work that retries. Health checks. Graceful shutdowns. Observability dashboards that mean something. None of this is exotic — it is the floor.
Whether the engagement is a REST API powering a Vue or Remix frontend, a GraphQL layer in front of an aging legacy system, or a fleet of background workers eating webhook events — we have shipped it.
Express or Fastify APIs with request validation (Zod), error taxonomy, OpenAPI docs, and structured logging.
GraphQL schemas with type generation, dataloader patterns, persisted queries, and authentication directives.
BullMQ on Redis for queue-driven workloads — webhooks, email, image processing, scheduled jobs.
Inbound webhook handling with signature verification, idempotency, queueing, retries, and dead-letter inspection.
Session and JWT auth, OAuth integrations, 2FA, RBAC, and audit logging.
Service decomposition when warranted. Middleware between systems with retries, circuit breakers, and caching.
API surface, error taxonomy, auth model, and rate limits documented before implementation begins.
Typed services with validation at every boundary, integration tests covering the contract, and structured logging in place.
CI/CD configured. Health checks wired. Monitoring active. Rollback path documented.
Retained ops: capacity reviews, security patching, dependency upgrades, and feature work.
Express for REST APIs and middleware. Fastify when performance matters. Nitro inside Nuxt projects. Plain Node for serverless handlers. We pick per workload — not per fashion.
TypeScript everywhere by default. The maintenance and refactor leverage is worth the build-step overhead. JavaScript only when extending a legacy codebase that has not been converted.
Yes. REST and GraphQL APIs with proper request validation, error taxonomy, structured logging, idempotency for mutations, and OpenAPI or GraphQL Code Generator documentation.
BullMQ on Redis for most engagements. AWS SQS or Cloudflare Queues when the deployment is already in that ecosystem. Jobs always idempotent, retried, and observable.
PM2 or systemd for VM hosts. Containerized via Docker for orchestrated environments. Health checks and graceful shutdowns wired into the deployment.
Tell us what the service does and what it talks to. We'll come back with an API contract and an implementation plan.