I design and ship production Node.js services: REST and GraphQL APIs, background workers, PostgreSQL and Redis, message queues, webhooks, and integrations that stay fast under load.


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N+1 queries, blocking I/O, fragile webhooks, and missing idempotency quietly erode reliability. Here's what usually shows up first in production:
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API contracts first, async by default, observable by design — so your Node stack scales with traffic and partner integrations.
Define routes, schemas, auth boundaries, and query patterns before optimizing. Postgres, Redis, or document stores — chosen for the workload.
Offload heavy work to Bull, SQS, or similar. Idempotent webhooks, retries with jitter, and circuit breakers for third parties.
Structured logging, metrics, tracing, and health checks so incidents are obvious and recoverable. Load tests on critical paths.

Every backend is measured by latency, uptime, and operational cost under real traffic.
Rebuilt core read paths with caching, query optimization, and connection pooling. Moved heavy writes to async workers without losing consistency guarantees.

Implemented idempotent webhook ingestion, outbox-style delivery, and retry policies so billing state never drifts from payment provider events.

Split a monolith into Node microservices with clear boundaries, internal RPC, and shared auth. Event-driven updates for cross-service consistency.
186+
Services
3.8B
Calls/mo
<52ms
P95
Building blocks for APIs, workers, data, and integrations on Node.js.
Express, Fastify, or Nest with validation, versioning, and consistent errors.
Read moreMigrations, transactions, read paths, and slow-query discipline.
Read moreStripe, SendGrid, Slack, and custom partners with idempotent handlers.
Read moreSo we can pinpoint bottlenecks and design the right service boundaries.
Shapes caching, connection limits, and whether to split read/write paths.
Expand-contract patterns and backward-compatible APIs reduce rollout risk.
Idempotency keys and deduplication tables prevent financial and state bugs.
Logs, metrics, and traces determine how fast you can fix production issues.
Book a 30-minute call with Kavya. Share your stack, traffic, and pain points to get a clear plan for APIs, data, queues, and integrations.
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