google-cloud-waf-performance-optimization

Use the assessment questions covering resource allocation, modular design, elasticity, and monitoring to identify gaps in your workload. Then apply the validation checklist to verify autoscaling rules, caching layers, and observability tooling are properly configured.

Key products include Compute Engine MIGs and GKE for autoscaling, Cloud Run for serverless scaling, Cloud CDN and Memorystore for caching, and Cloud Trace, Cloud Profiler, and Cloud Monitoring for performance analysis and bottleneck detection.

Configure autoscaling on Managed Instance Groups or GKE, or adopt serverless platforms like Cloud Run that scale automatically with demand. Validate scaling rules through load testing and review resource utilization regularly to balance cost with performance.

Yes, the resource allocation principle covers caching at multiple layers including browser, in-memory, CDN, and database caching. It recommends products like Cloud CDN for content delivery and Memorystore for sub-millisecond in-memory data access.

Checklist reviews identify alignment gaps but do not measure actual runtime performance or replace load testing. They should be combined with distributed tracing, profiling, and performance testing integrated into the software development lifecycle.