Categories
APIs & server logic · 54 articles
Exactly-once processing doesn't exist in distributed systems—here's how to design background jobs that survive retries, crashes, and duplicate deliveries anyway.
How to use materialized views to speed up expensive aggregations in Postgres without silently serving stale data to your users.
How to design and implement idempotency keys so retried requests never double-charge, double-send, or double-create resources.
Soft deletes look like a simple safety net, but they silently corrupt your schema, poison your queries, and break your constraints — here's what to use instead.
When a cache entry expires under high traffic, dozens of requests race to rebuild it simultaneously — here's how inflight request deduplication collapses that stampede into a single upstream call.
Postgres has a powerful built-in full-text search engine using tsvector, tsquery, and GIN indexes — no Elasticsearch cluster required for most applications.
Stop loading entire result sets into memory: how Node.js streams and async generators let you process millions of records without blowing the heap.
Stop racing conditions in distributed systems: a practical guide to implementing distributed locks with Redis and PostgreSQL advisory locks in Node.js.
Replace Node's stringly-typed EventEmitter with a generic typed alternative that catches event name typos and payload mismatches at compile time.
Why job queues and database state machines break down for complex multi-step processes, and how durable execution with Temporal gives you workflows that survive crashes, retries, and deployments.
Unbounded Promise.all is a silent OOM killer — here's how to build semaphores, throttled queues, and stream backpressure into your Node.js applications.
N+1 isn't an ORM problem — learn how to implement the DataLoader batching pattern in TypeScript to collapse redundant data fetches across any data source, including microservices.
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.
A deep dive into database connection pool configuration, covering pool sizing formulas, connection lifecycle management, health checking strategies, and diagnosing pool exhaustion under production traffic patterns.
A deep dive into rate limiting algorithms including token bucket, sliding window, and leaky bucket with distributed implementations using Redis and practical middleware patterns.
A practical guide to implementing GraphQL subscriptions for real-time features, covering WebSocket setup with Apollo Server, subscription resolvers, client integration, and production scaling patterns.
A deep dive into database connection pooling for Node.js services, covering pool sizing, health checks, failover patterns, and the common misconfigurations that cause production outages.
Implement database schema migrations that don't require downtime using expand-contract patterns, backward-compatible changes, and phased rollouts that keep your application serving traffic throughout every deployment.
Build idempotent API endpoints that handle retries safely using idempotency keys, database constraints, and state machines with TypeScript examples covering payment processing, order creation, and webhook delivery.
Configure and optimize database connection pools for high-throughput Node.js applications with practical examples covering pool sizing, health checks, connection lifecycle management, and common pitfalls that cause pool exhaustion.
Design webhook delivery infrastructure that handles retries with exponential backoff, signature verification, idempotency guarantees, delivery logging, and endpoint health monitoring for reliable event notification.
Build CDC pipelines that stream database changes to downstream systems in real time, covering log-based capture with Debezium, event formatting, schema evolution handling, and exactly-once delivery guarantees.
Compare offset, cursor, and keyset pagination strategies with practical implementations showing performance characteristics, trade-offs, and when each approach fits your API design.
Master distributed caching patterns including cache-aside, write-through, read-through, and cache invalidation strategies that handle real-world consistency challenges.
How to scale WebSocket connections beyond a single server — covering sticky sessions, pub/sub fan-out with Redis, connection state management, and handling reconnection gracefully at scale.
A practical breakdown of read uncommitted, read committed, repeatable read, and serializable isolation levels — with real examples of the anomalies each one prevents and the performance trade-offs involved.
A practical comparison of gRPC and REST for backend services — covering performance characteristics, developer experience, streaming capabilities, and the tradeoffs that determine which protocol fits your use case.
A practical guide to database sharding — covering partitioning strategies, shard key selection, cross-shard queries, and the operational complexity that comes with distributing data.
A hands-on guide to implementing GraphQL subscriptions for real-time updates — covering WebSocket transport, subscription resolvers, filtering, and scaling considerations.
Explore Redis data structures beyond simple strings — sorted sets for leaderboards, streams for event logs, HyperLogLog for cardinality, and bitmaps for feature flags.
Practical data modeling strategies for MongoDB and document databases — covering embedding vs referencing, denormalization tradeoffs, and schema evolution patterns.
How to configure and monitor database connection pools — covering pool sizing, leak detection, failover handling, and common misconfiguration pitfalls.
A deep dive into rate limiting algorithms with implementations, trade-offs, and guidance on choosing the right approach for your API.
Practical techniques for identifying and fixing slow SQL queries using EXPLAIN plans, indexing strategies, and query restructuring patterns.
Network failures mean requests are retried — idempotent API design ensures that processing the same request twice produces the same result, preventing duplicate charges and orders.
Every API evolves — the question is whether you version through URL paths, headers, or query parameters, and how you handle breaking changes without breaking clients.
Opening a new database connection per request is a silent performance killer — connection pools solve this with a managed set of reusable connections.
Schema changes are the most dangerous deploys — here are the patterns for zero-downtime migrations, rollback safety, and avoiding data loss.
When HTTP polling isn't enough — a practical guide to WebSocket connections, message patterns, and production concerns like reconnection and scaling.
Token buckets, sliding windows, and distributed rate limiting — practical patterns to protect your API without degrading the experience for legitimate users.
Indexes can make or break your application's performance — here's how they work under the hood and when to use each type.
From HTTP headers to Redis patterns, a practical guide to caching layers that reduce latency and database load without serving stale data.
Once you know the HTTP verbs, the real challenge begins — pagination, filtering, error formats, and versioning patterns that make APIs a pleasure to consume.