Backend

Technical Journal // Backend
Jul '26

Designing a Rate Limiter

A full system design of a production rate limiter. Covers every major algorithm (token bucket, sliding window, leaky bucket, fixed window), their tradeoffs, how they break in a distributed system, how Redis fixes them, and how Stripe, Cloudflare, and API gateways actually deploy this in production.

Jul '26

How Multi-Tenant SaaS Actually Works

A complete system design of Relay, a multi-tenant AI API gateway. Covers multi-tenant database architecture (silo vs pool vs bridge), API key authentication, provider routing with failover, dual-layer rate limiting, token-based billing, response caching, row-level security, tenant provisioning, and observability. Full Postgres schemas, mermaid diagrams, and Go snippets included.

Feb '26

Building Production-Ready Background Workers in Python

Your background jobs crash on deployment, fail silently, and corrupt data. Here's how to fix it with worker pools, retry strategies, idempotency, and graceful shutdown. A guide to building production background processing systems that don't break under load. Tested at 20 req/sec.