Maximizing performance requires deep node-level customization and precise benchmarking. In this discussion, we'll reveal configuration and tooling for optimizing stateless, stateful, and inference workloads on GKE. Discover new GKE APIs that generate pod manifests with industry-standard optimizations built-in. We'll dive deep into benchmarking and tuning Nginx, Redis, MySQL, while sharing a preview of packaged optimizations. You'll learn to leverage open-source frameworks to reproduce these gains for your unique workloads. Leave this discussion with a performance-tuning playbook and a reference architecture for high-scale GKE nodes.