This handles autoscaling across Kubernetes HPA, AWS Auto Scaling groups, and custom metrics implementations. You get YAML configs for horizontal pod autoscalers with CPU and memory targets, plus monitoring setups to track scaling events. It covers the basics well: min/max replica bounds, cooldown periods, multi-metric strategies. The best practices section is solid on avoiding single-replica minimums and aggressive scaling that causes flapping. Useful if you're setting up autoscaling from scratch or standardizing configurations across environments. The reference guides break things down by platform, which saves you from hunting through documentation when you need to scale VMs differently than containers.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill autoscaling-configuration