⚡ Autoscaling
Scale intelligently: HPA, VPA, Cluster Autoscaler, KEDA event-driven scaling, GPU metrics autoscaling, custom metrics, and cost optimization strategies.
Kubernetes Cluster Autoscaler Setup Guide
Configure the Cluster Autoscaler to automatically add and remove nodes based on pod scheduling demands. Covers AWS, GKE, Azure, and bare-metal setups.
KEDA: Event-Driven Autoscaling for Kubernetes
Scale Kubernetes workloads with KEDA based on external events: queue depth, cron schedules, Prometheus metrics, HTTP traffic, and 60+ event sources.
Custom Metrics Autoscaling in Kubernetes
Scale Kubernetes pods on custom application metrics with Prometheus Adapter. Configure HPA with custom and external metrics beyond CPU and memory.
Goldilocks: VPA Recommendations Dashboard
Deploy Goldilocks to visualize Vertical Pod Autoscaler recommendations across all namespaces. Right-size Kubernetes resource requests and limits with a web dashboard.
Virtual Kubelet for Serverless Kubernetes Scaling
Deploy Virtual Kubelet to burst Kubernetes workloads to serverless backends like Azure ACI, AWS Fargate, and Hashicorp Nomad for infinite scaling.
Karpenter Node Autoscaling for Kubernetes
Replace Cluster Autoscaler with Karpenter for faster, smarter node provisioning. Right-sized instances, spot fallback, consolidation, and GPU-aware scaling.
Kubernetes Cost Optimization Strategies
Reduce Kubernetes cloud costs by 30-60 percent. Covers right-sizing, spot instances, cluster autoscaler tuning, resource quotas, and FinOps practices.
Optimize Kubernetes Resource Usage
Right-size pods with VPA, optimize with Goldilocks, implement request-to-limit ratios, QoS classes, and cost-aware management.
OpenClaw Resource Limits and Tuning on Kubernetes
Size CPU, memory, and storage for OpenClaw on Kubernetes. Tuning profiles for light usage, browser automation, and production deployments.
OpenClaw Auto-Scaling with KEDA
Scale OpenClaw agents based on message queue depth using KEDA event-driven autoscaling for Discord, Telegram, and Slack.
How to Scale Based on Custom Metrics
Configure Horizontal Pod Autoscaler with custom and external metrics. Learn to scale on application-specific metrics like queue depth and request latency.
How to Use KEDA for Event-Driven Autoscaling
Scale Kubernetes workloads based on external events with KEDA. Configure scalers for queues, databases, and custom metrics beyond CPU/memory.
How to Configure Cluster Autoscaler
Automatically scale your Kubernetes cluster nodes based on workload demand. Learn to configure Cluster Autoscaler for AWS, GCP, and Azure.
Vertical Pod Autoscaler (VPA) Guide
Set up the Vertical Pod Autoscaler in Kubernetes. Auto-tune CPU and memory requests with VPA modes, recommendations, and production best practices.
HPA Kubernetes: Horizontal Pod Autoscaler
Configure HPA in Kubernetes for auto-scaling pods on CPU, memory, and custom metrics. Horizontal Pod Autoscaler examples, thresholds, and best practices.