⚡ Autoscaling
Scale intelligently: HPA, VPA, Cluster Autoscaler, KEDA event-driven scaling, GPU metrics autoscaling, custom metrics, and cost optimization strategies.
KEDA Event-Driven Autoscaling on Kubernetes
Deploy KEDA for event-driven autoscaling on Kubernetes. Scale deployments to zero based on queue depth, HTTP requests, cron schedules, Prometheus
Kubernetes HPA Custom Metrics Prometheus Adapter
Configure Kubernetes Horizontal Pod Autoscaler with custom Prometheus metrics via the Prometheus Adapter. Scale on request latency, queue depth, GPU
Kubernetes Vertical Pod Autoscaler VPA Guide
Deploy and configure the Vertical Pod Autoscaler (VPA) on Kubernetes. Auto-adjust CPU and memory requests based on actual usage, right-size
Goldilocks VPA Dashboard for Resource Optimization
Deploy Goldilocks to visualize VPA recommendations across all workloads and identify over-provisioned or under-provisioned containers with actionable
Vertical Pod Autoscaler (VPA) Guide
Configure Kubernetes Vertical Pod Autoscaler to automatically right-size container CPU and memory requests based on actual usage. Covers
KEDA: Event-Driven Autoscaling for K8s
Scale Kubernetes workloads with KEDA based on events from Kafka, RabbitMQ, AWS SQS, Prometheus metrics, and cron schedules.
K8s Horizontal Scaling: Manual and Auto
Scale Kubernetes workloads horizontally with kubectl scale, HPA, and KEDA. Covers replica management and event-driven scaling strategies.
K8s HPA: Autoscale on CPU and Memory
Configure Kubernetes HorizontalPodAutoscaler to scale on CPU and memory utilization. Target utilization, minReplicas, maxReplicas, and scaling behavior.
Kubernetes Right-Sizing and Cost Optimization
Optimize Kubernetes resource allocation with right-sizing, VPA recommendations, bin packing, request-to-limit ratios, and cost reduction best practices.
Install VPA with hack/vpa-up.sh Script
Install Kubernetes Vertical Pod Autoscaler using hack/vpa-up.sh from the official repository. VPA components, prerequisites, and troubleshooting guide.
Kubernetes HPA Autoscaling Guide
Configure Horizontal Pod Autoscaler for automatic scaling based on CPU, memory, and custom metrics. HPA v2 policies, scaling behavior, and production tuning.
HPA Prometheus Custom Metrics K8s
Configure HPA with custom Prometheus metrics using prometheus-adapter on Kubernetes. Custom and external metrics, query mapping, and scaling on business KPIs.
Cluster Autoscaler Kubernetes Guide
Configure Kubernetes Cluster Autoscaler for automatic node scaling. Scale-down delay, expanders, priority, and integration with cloud providers.
HPA Max Replicas Configuration K8s
Set max replicas for Kubernetes HPA to control autoscaling ceiling. maxReplicas tuning, scaling behavior, stabilization window, and cost protection strategies.
HPA Tutorial for Kubernetes Beginners
Step-by-step HPA tutorial for Kubernetes. Create, monitor, and tune Horizontal Pod Autoscalers with kubectl commands and YAML examples.
Karpenter Node Autoscaler for Kubernetes
Scale Kubernetes nodes with Karpenter. NodePool configuration, instance selection, consolidation, and cost optimization vs Cluster Autoscaler.
KEDA Scalers Guide for Kubernetes
Configure KEDA scalers for event-driven autoscaling on Kubernetes. Covers Kafka, RabbitMQ, Prometheus, and cron trigger configuration.
VPA Recommender Setup Kubernetes
Configure the VPA Recommender for Kubernetes resource right-sizing. Off mode recommendations, memory-only mode, and interpreting VPA suggestions.
VPA Setup hack/vpa-up.sh Guide
Install Vertical Pod Autoscaler with hack/vpa-up.sh on Kubernetes. Recommender, Updater, Admission Controller components and production configuration.
Custom Metrics with Prometheus Adapter
Expose application metrics to Kubernetes HPA via Prometheus Adapter. Configure custom.metrics.k8s.io for HTTP requests per second, queue depth.
HPA Custom Metrics Scaling Guide
Scale Kubernetes workloads on custom Prometheus metrics with HPA. Prometheus Adapter, external metrics, and request-rate-based scaling for web services.
KEDA Event-Driven Pod Autoscaling Guide
Scale Kubernetes workloads on external events with KEDA. Covers Kafka queue length, Prometheus metrics, and cron schedule trigger patterns.
Vertical Pod Autoscaler Deep Dive
Configure VPA for automatic memory and CPU right-sizing in Kubernetes. Recommendation modes, update policies, VPA with HPA coexistence, and GPU workload tuning.
VPA Resource Right-Sizing Kubernetes
Use Vertical Pod Autoscaler to right-size Kubernetes resource requests and limits. Off mode for recommendations, Auto mode for live adjustment.
HPA v2 Multiple Metrics Scaling Guide
Configure HorizontalPodAutoscaler v2 with CPU, memory, custom, and external metrics. Control scaling behavior with stabilization windows.
Kubernetes Cluster Autoscaler Configuration
Configure Kubernetes Cluster Autoscaler: scale-down delay, node group settings, priority expander, GPU scaling, and cloud provider integration for EKS, GKE.
HPA Behavior and Scaling Policies
Configure HPA scaling behavior with stabilization windows, scaling policies, and rate limiting. Fine-tune scale-up and scale-down speed.
HPA Container Resource Metrics
Configure HPA to scale based on individual container metrics instead of pod-level averages. Target specific containers in multi-container pods.
Kubernetes HPA Custom Metrics with Prometheus
Configure Kubernetes HPA with custom Prometheus metrics. Prometheus Adapter setup, custom and external metrics, scaling on request latency, queue depth.
Multidimensional Pod Autoscaler (MPA)
Configure Google's Multidimensional Pod Autoscaler to scale both horizontally and vertically simultaneously. Combines HPA and VPA logic in one controller.
KEDA vs HPA: Event-Driven Autoscaling Expla...
Compare KEDA and HPA for Kubernetes autoscaling. Scale on Kafka lag, Prometheus metrics, queue depth, cron, and custom events. KEDA vs HPA decision guide.
K8s Capacity Planning for Enterprise Clusters
Right-size enterprise clusters with data-driven capacity planning. Forecast resource needs, optimize bin-packing, and plan for growth with metrics.
Karpenter Node Autoscaling for K8s on AWS
Deploy Karpenter for fast, flexible node autoscaling on AWS EKS. Configure NodePools, EC2NodeClasses, and consolidation for real cost savings.
Advanced Cluster Autoscaler Config & Tuning
Fine-tune the Kubernetes Cluster Autoscaler with expanders, priority-based scaling, mixed instance policies, and GPU node pool autoscaling for production c.
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.
Virtual Kubelet for Serverless K8s 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.
K8s Resource Optimization Strategies
Kubernetes resource optimization strategies and best practices. Right-size pods with VPA, Goldilocks dashboards, and resource allocation techniques.
OpenClaw Resource Limits and Tuning
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.
HPA Custom Metrics: Scale on Queue Depth
Configure Kubernetes HPA with custom and external metrics. Scale pods on queue depth, request latency, and Prometheus metrics via autoscaling/v2.
Kubernetes Cluster Autoscaler Setup
Configure Kubernetes Cluster Autoscaler for automatic node scaling. AWS, GCP, and Azure setup, scaling policies, and pod priority integration.
Kubernetes VPA: Vertical Pod Autoscaler
Install and configure Kubernetes Vertical Pod Autoscaler. VPA updateMode Off, Initial, and Auto with recommendations and HPA coexistence strategies.
Kubernetes HPA: Set Max Replicas and Scale
Configure Kubernetes HPA with autoscaling/v2, averageUtilization targets, and max replica settings. CPU, memory, and custom metrics scaling policies.