
Building Scalable APIs with Next.js Route Handlers
A comprehensive guide to designing and building scalable, production-ready APIs using Next.js Route Handlers with TypeScript, validation, and error handling patterns.
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10 articles

A comprehensive guide to designing and building scalable, production-ready APIs using Next.js Route Handlers with TypeScript, validation, and error handling patterns.

The core concepts behind scalable system design — load balancing, caching, database scaling, queues, and the tradeoffs that guide architectural decisions.

Architect multi-tenant SaaS applications using database isolation strategies, tenant-aware middleware, resource quotas, data partitioning patterns, and security boundaries that scale from ten tenants to ten thousand without redesigning the system.

Design scalable WebSocket architectures using connection management, room-based pub/sub, heartbeat mechanisms, reconnection strategies, and horizontal scaling patterns that handle thousands of concurrent connections reliably.

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.

Design and execute effective load tests using k6 with practical patterns for ramping strategies, realistic user simulation, threshold-based pass/fail criteria, and interpreting results to find bottlenecks before production traffic exposes them.

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 cell-based architectures that isolate failures to small blast radii, enable independent scaling, and prevent cascading outages across distributed systems.

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 practical guide to load testing APIs — covering tool selection, realistic traffic patterns, performance baselines, bottleneck identification, and common mistakes.