k8s-controller-perf

What problem does it solve?

Performance tuning patterns for Kubernetes controllers to reduce reconciliation noise, improve cross-resource lookups, and optimize CPU/memory usage across large clusters.

Core Features & Use Cases

• Field indexers for O(1) lookups across cross-resource references
• Predicate filters to minimize reconciles and noisy events
• Cache optimization and work queue tuning for predictable throughput
• Observability patterns to measure latency, queue depth, and retries
• Use cases include controllers managing many Custom Resources in large clusters

Quick Start

Apply these patterns to your controller and measure reconciliation latency, cache hit rate, and throughput.