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Learn how to drive Kubernetes Horizontal Pod Autoscaler with application‑specific metrics (e.g., requests‑per‑second) using Prometheus Adapter, complete with a reproducible Go service example, common pitfalls, and a checklist for production rollout.
HPA scales your Deployment by comparing observed CPU usage to pod requests every 15 seconds. Here's the formula it uses, a working example, and the flapping and memory-metric traps to avoid.
Stop guessing your replica counts. Learn how to implement the Kubernetes Horizontal Pod Autoscaler (HPA) to dynamically manage load and prevent downtime.
When scaling Kubernetes workloads, you can either increase replica counts with HPA or tune pod resources with VPA. This guide walks through the decision criteria, compares the two autoscalers, and shows how to implement and validate each option in a real cluster.
Guide to choosing and configuring HPA, VPA, and Cluster Autoscaler in Kubernetes based on workload metrics, pod resizing safety, and node‑group elasticity.
Learn how to connect Prometheus metrics to Kubernetes' Horizontal Pod Autoscaler so your pods scale on request rate, queue depth, or any custom signal.
Step‑by‑step guide to deploy an HPA that scales a sample nginx Deployment based on CPU utilization, with checks and rollback options.
Learn how to scale Kubernetes workloads based on request‑per‑second using the Prometheus Adapter, avoiding late CPU‑driven scaling and improving latency.
Learn how to let Kubernetes automatically scale your stateless workloads with the Horizontal Pod Autoscaler. Step‑by‑step guide, example, trade‑offs, and checklist to get CPU‑based autoscaling working safely.
prometheus
kubernetes