
Soft Deletes: The Feature That Costs More Than It Saves
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.
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35 articles

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.

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.

TypeScript's type system stops at compile time — Zod closes the gap by validating data at the runtime boundaries where it actually matters.

A practical guide to HTTP caching headers — what each directive actually does, when to use ETags, and how to stop fighting your CDN.

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.

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.

Implement comprehensive API security layers including rate limiting, request validation, output encoding, security headers, and audit logging with practical TypeScript middleware examples that go beyond simple authentication.

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.

Compare offset, cursor, and keyset pagination strategies with practical implementations showing performance characteristics, trade-offs, and when each approach fits your API design.

A step-by-step tutorial for building a GraphQL server with TypeScript — covering schema design, resolvers, dataloaders for N+1 prevention, authentication, error handling, and deployment patterns.

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 step-by-step tutorial for building rate limiters using the token bucket, sliding window, and fixed window algorithms — with TypeScript implementations, Redis integration, and production deployment patterns.

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.

Explore Redis data structures beyond simple strings — sorted sets for leaderboards, streams for event logs, HyperLogLog for cardinality, and bitmaps for feature flags.

A comprehensive guide to understanding and preventing CSRF attacks — covering token-based protection, SameSite cookies, double-submit patterns, and framework-specific implementations.

A practical guide to event sourcing — when to use it, how to implement event stores, build projections, handle schema evolution, and avoid common pitfalls.

A hands-on tutorial for building a production-ready REST API with Go and Chi — covering routing, middleware, JSON handling, error responses, and graceful shutdown.

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.

How API gateways handle routing, authentication, rate limiting, and response aggregation — with patterns for building or choosing the right gateway for your architecture.

A practical introduction to machine learning concepts that backend engineers need when integrating ML models into production applications.

A deep dive into rate limiting algorithms with implementations, trade-offs, and guidance on choosing the right approach for your API.

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.

GraphQL isn't a REST replacement — it's an alternative with different trade-offs that matter depending on your client complexity, team size, and data shape.

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.

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.