Reliability

A hands-on TypeScript tutorial for building a production LLM client that survives slow upstreams, rate limits, transient 5xx errors, and whole-provider outages — a per-attempt timeout, exponential backoff with jitter, a per-provider circuit breaker, and automatic failover, in about 250 lines of typed, fully tested code.

Multi-cloud architectures are inherently fragile at the seams. The connections between clouds, the failover mechanisms, and the data synchronization layers are where outages happen. Chaos engineering — deliberately injecting failures — is the only way to find these weaknesses before they find you. A comprehensive guide to designing, running, and learning from chaos experiments across AWS, Azure, and GCP.

Site Reliability Engineering has evolved from Google's internal practice to the industry standard for operating distributed systems. But most organizations implement SRE wrong — cargo-culting error budgets without the cultural changes that make them work. A practical guide to SRE principles that actually improve reliability in microservice architectures, with real incident response frameworks and observability patterns.