Scale your workloads automatically with Horizontal Pod Autoscaler, Vertical Pod Autoscaler, KEDA, and cluster autoscaling strategies.
7 recipes available
Reduce Kubernetes costs and improve efficiency with resource optimization techniques. Learn to right-size workloads, implement VPA, and use spot instances.
Scale workloads based on external events with KEDA. Configure scalers for queues, databases, Prometheus metrics, and custom sources.
Deploy KEDA for event-driven autoscaling in Kubernetes. Scale based on queue length, metrics, cron schedules, and external events.
Automatically scale your Kubernetes cluster nodes based on workload demand. Learn to configure Cluster Autoscaler for AWS, GCP, and Azure.
Automatically right-size your Kubernetes pods with Vertical Pod Autoscaler. Learn to configure VPA for optimal resource requests and limits.
Set up automatic pod scaling based on CPU, memory, or custom metrics using Kubernetes Horizontal Pod Autoscaler. Includes examples for scaling based on requests per second.
Our book includes an entire chapter dedicated to autoscaling with dozens more examples.
📖 Explore All Chapters