What problem does it solve? Designing reliable, highly available workloads on Google Cloud requires applying many architectural principles, and teams often miss critical reliability requirements like SLOs, redundancy, and disaster recovery testing. ## Core Features & Use Cases - Reliability Assessment: Evaluate a workload against the nine core principles of the Google Cloud Well-Architected Framework Reliability pillar, from user-focused SLOs to blameless postmortems. - Guided Discovery: Use structured workload assessment questions to uncover reliability requirements, constraints, and organizational practices. - Validation Checklist: Verify architectures against concrete criteria such as cross-zone redundancy, autoscaling, backup testing, and chaos engineering practices. - Use Case: A platform engineer preparing to deploy a new service on GKE uses this Skill to identify single points of failure, define SLOs, and produce actionable recommendations for load balancing, health checks, and disaster recovery. ## Quick Start Evaluate my Google Cloud workload architecture for reliability and give me recommendations based on the Well-Architected Framework.
