Blog — Page 51 of 53
Browsing page 51 of 53 — 634 articles and counting.
GraphQL vs REST in 2026: A Practical Decision Framework for Production APIs
Beyond 'GraphQL is flexible, REST is simple': a production-focused comparison covering caching, N+1 queries, error handling, authorization complexity, schema evolution, and the BFF pattern. Includes TypeScript examples and a concrete decision framework.
Pagination Patterns for APIs: Offset, Cursor, and Keyset Compared
Most APIs start with offset pagination and hit performance cliffs at scale. This guide covers offset, cursor-based, and keyset pagination with TypeScript examples, explains the database performance characteristics of each, and provides a decision framework based on dataset size, sort requirements, and client needs.
WebSocket Architecture at Scale: Connection Management, Heartbeats, and Horizontal Scaling
Most WebSocket guides stop at the echo server. This covers what actually breaks in production: connection lifecycle, heartbeat design, sticky sessions, Redis pub/sub fan-out, backpressure handling, and when WebSockets are the wrong tool entirely.
Multi-Agent Orchestration: Patterns for Coordinating LLM Agents in Production
Single agents hit real limits at scale. This guide covers the four core multi-agent patterns (supervisor, pipeline, debate/consensus, map-reduce) with TypeScript implementations, state management strategies, error handling, and the failure modes that emerge when agents interact.
Canary Deployments: A Practical Playbook for Rolling Out Changes Without Breaking Production
Most canary deployment guides describe the theory but skip the hard parts. This covers traffic splitting strategies, health metrics to watch, automated rollback triggers, progressive delivery with Kubernetes and Cloudflare Workers, and what to do when the canary looks healthy but production is not.
Docker to Serverless: A Migration Playbook for Startups
A practical migration playbook for moving startup workloads from Docker-based infrastructure to serverless platforms. Learn workload selection, architecture patterns, TypeScript implementation, rollout strategy, and production risk controls.
Feature Flags at the Edge with Cloudflare Workers: A Practical System Design
Running feature flags at the edge can cut rollout latency and reduce blast radius, but only if you design for consistency, cache invalidation, and failure modes. This guide covers architecture, TypeScript implementation patterns, and production tradeoffs.
Idempotency Keys for Reliable Backend APIs: Stop Duplicate Charges and Double Writes
A production-focused guide to implementing idempotency keys in backend APIs, including request fingerprinting, storage design, TTL strategy, race-condition protection, Redis/Postgres implementations, and operational pitfalls that cause duplicate side effects.
Observability for Small Engineering Teams: What to Monitor When You Can't Monitor Everything
Most observability guides assume Netflix-scale budgets and problems. This covers what a 1-5 person team should actually instrument, the four golden signals adapted for startups, structured logging in TypeScript, alerting without fatigue, and when tracing is premature.
Error Budgets for Startup Teams: Ship Faster Without Breaking Production
Startups need speed, but speed without reliability discipline compounds hidden costs. This guide explains how to implement practical SLOs and error budgets in small teams so you can release faster with less production chaos.
Hiring Your First Engineer: What Most Startup CTOs Get Wrong
Most founder-CTOs optimize for technical skill when hiring engineer #1 and overlook the traits that actually predict early-stage success: ambiguity tolerance, ownership instinct, and velocity without supervision. This guide covers role definition, sourcing, practical evaluation, red flags, comp structuring, and onboarding.
On-Call for Startups: How to Build a Sustainable Rotation Before You Burn Out
Early-stage teams usually run incident response through heroics and Slack chaos. This guide shows how to design a practical on-call system with escalation rules, severity definitions, runbook standards, and post-incident process that works with a tiny team.