LLM Evaluation: Frameworks for Quality and Regression Testing

Enterprises in regulated industries need to implement golden datasets, human review, and automated metrics in production without compromising security, cost, or operational stability. Platform teams define clear standards, automate repetitive steps, and document architecture decisions so product teams can apply them independently.

Typical success factors include phased rollout in dev and staging, measurable SLIs for latency and error rates, and runbooks for incident response. On Azure Kubernetes Service and OpenShift, these patterns deploy consistently with GitOps, infrastructure as code, and centralized observability.

cloudstrata helps organizations design, implement, and operate AI workloads in European cloud environments—from first architecture sketch to 24/7 production. Contact us when modernizing existing platforms or planning greenfield projects.