Scale your workloads automatically with Horizontal Pod Autoscaler, Vertical Pod Autoscaler, KEDA, and cluster autoscaling strategies.
8 recipes available
Reduce Kubernetes costs and improve efficiency with resource optimization techniques. Learn to right-size workloads, implement VPA, and use spot instances.
Scale Kubernetes workloads based on external events with KEDA. Configure scalers for queues, databases, and custom metrics beyond CPU/memory.
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.
Kubernetes VPA example with step-by-step setup. Configure Vertical Pod Autoscaler to automatically right-size pod CPU and memory requests and limits.
Configure HPA in Kubernetes for automatic horizontal pod autoscaling based on CPU, memory, and custom metrics. Step-by-step HPA examples and best practices.
Scale OpenClaw agents based on message queue depth using KEDA event-driven autoscaling for Discord, Telegram, and Slack.
Configure Horizontal Pod Autoscaler with custom and external metrics. Learn to scale on application-specific metrics like queue depth and request latency.
Our book includes an entire chapter dedicated to autoscaling with dozens more examples.
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