google-cloud-waf-performance-optimization

What problem does it solve? Architects and engineers often struggle to systematically evaluate whether their Google Cloud workloads meet performance best practices. This Skill provides structured guidance based on the Performance Optimization pillar of the Google Cloud Well-Architected Framework, turning abstract principles into concrete assessment questions and validation checklists. ## Core Features & Use Cases - Workload Assessment: Asks targeted questions about resource allocation, modular design, elasticity, and monitoring to understand performance requirements. - Validation Checklist: Evaluates architectures against a checklist covering caching strategies, auto-scaling rules, distributed tracing, and failure isolation. - Product Recommendations: Maps performance needs to relevant Google Cloud services such as Cloud Run, GKE, Memorystore, Cloud CDN, Cloud Trace, and Cloud Profiler. - Use Case: Before migrating an application to GKE, use this Skill to assess whether your autoscaling configuration, caching layers, and observability tooling align with Well-Architected Framework recommendations. ## Quick Start Evaluate my Google Cloud workload architecture against the Performance Optimization pillar of the Well-Architected Framework and recommend improvements.