⚡ Autoscaling
Scale intelligently: HPA, VPA, Cluster Autoscaler, KEDA event-driven scaling, GPU metrics autoscaling, custom metrics, and cost optimization strategies.
What's New in KEDA v2.21.0 - Breaking Changes and Upgrade Guide
KEDA 2.21.0 fixes CVE-2026-77524, changes Azure Pipelines and Temporal scalers, and adds new scalers. Upgrade steps included.
Karpenter v1.15.1: What's New and How to Upgrade
Karpenter v1.15.1 is a chores-only cherrypick release; see what changed and how to safely upgrade from v1.14.2.
Karpenter v1.14.2: What's New (Patch Release Notes & Upgrade Guide)
Karpenter v1.14.2 patch release fixes NodeRepair label sync and capacity buffer workload watching. Upgrade steps and verification included.
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
Install and configure Kubernetes VPA: Off, Initial, Recreate and in-place modes, min/max bounds, reading recommendations, and VPA with HPA.
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
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.
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.
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.
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 Autoscaling for Kubernetes
Install KEDA with Helm and scale on Kafka lag, RabbitMQ, Prometheus, cron or HTTP. ScaledObject, ScaledJob, TriggerAuthentication, scale-to-zero.
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: Setup and Tuning
Install and tune Kubernetes Cluster Autoscaler on EKS, GKE and AKS: scale-down flags, expanders, max-node-provision-time, GPU scale-to-zero.
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 Explained
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.
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.
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 on EKS (v1 API)
Install Karpenter v1 on EKS: NodePools, EC2NodeClass, spot fallback, consolidation, GPU pools, and how it compares to Cluster Autoscaler.
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.
Kubernetes HPA: Set Max Replicas and Scale
Configure Kubernetes HPA (autoscaling/v2): averageUtilization, set or change maxReplicas, CPU, memory and custom metrics, and scaling behavior.