Part 2 of a series on software reliability covers the SLA/SLO/SLI framework for measuring and committing to service quality, then walks through core reliability patterns: redundancy, failover, health checks, load balancing, and monitoring. Each concept is explained with relatable analogies (restaurants, hospitals, cashier queues) and grounded in real tools like NGINX, HAProxy, Prometheus, Grafana, and Datadog. The post emphasizes that reliability is about preparing for inevitable failures, not preventing them entirely.
35 Impressions