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APIs & server logic · 54 articles · Page 2 of 5
Use AsyncLocalStorage to propagate request-scoped context — trace IDs, user sessions, tenant data — through async call stacks without threading values through every function signature.
Stop letting your API spec drift from your implementation — define the contract first, generate types for both sides, and let the compiler catch the gaps.
Most Node.js services silently drop in-flight requests on every deploy. Here's how to handle SIGTERM correctly, drain connections, and exit cleanly in Kubernetes.
Stop bolting middleware onto frameworks and start building type-safe, composable pipeline primitives you can test in isolation and reason about at a glance.
A practical guide to HTTP caching headers — what each directive actually does, when to use ETags, and how to stop fighting your CDN.
Learn how to use Node.js worker threads to handle CPU-intensive tasks without blocking the event loop, with thread pooling and type-safe messaging patterns.
A comprehensive guide to designing and building scalable, production-ready APIs using Next.js Route Handlers with TypeScript, validation, and error handling patterns.
The recurring database design mistakes that cause slow queries, painful migrations, and production incidents — with practical fixes and the reasoning behind each one.
Execute schema migrations on production databases without downtime using expand-contract patterns, backward-compatible changes, blue-green data strategies, and migration safety checks that prevent data loss and application errors.
Implement structured logging in Node.js services that produces machine-parsable, searchable log entries with correlation IDs, consistent severity levels, and context propagation that makes debugging production incidents fast and reliable.
Build real-time data pipelines using Apache Kafka with TypeScript consumers and producers, covering partitioning strategies, consumer groups, exactly-once semantics, and dead letter queues for reliable event streaming.
A practical guide to achieving end-to-end type safety in GraphQL applications using schema-first code generation, covering resolver typing, client-side query types, and eliminating runtime type mismatches between frontend and backend.