Cost visibility as a first-class concern: per-request metering, cost circuit breakers, ROI calculations, spot instances, and anomaly detection for sustainable AI systems.
You deploy a seemingly innocent feature and suddenly CPU spikes from 20% to 95%. Response times triple. The root cause could be a regex gone wrong, a JSON parse on every request, a synchronous loop, or a dependency update. Here's how to diagnose and fix CPU hotspots in production.
Implement CQRS (Command Query Responsibility Segregation) to scale reads independently from writes. Learn command bus patterns, query bus patterns, eventual consistency, projections, CQRS without event sourcing, testing strategies, and when the complexity is justified.