Articles tagged with "autoscaling"
Running HPA and VPA together has long been considered risky in Kubernetes. GKE's Multidimensional Pod Autoscaler and the upstream AEP-5342 proposal point toward a resolution. Here's what K3s and Kubo users can do today.
Kubernetes HPA sums resource usage across every container in a Pod, so Istio sidecars and logging agents dilute the scaling decision. Here's how the ContainerResource metric fixes it, in a K3s/Kubo context.
Does VPA's InPlaceOrRecreate mode and In-Place Pod Resize really avoid Pod restarts? We test QoS class constraints and the cgroup v1 trap on K3s with real configs and kubectl commands.
K3s HPA won't scale even though CPU usage looks normal. The culprit is a mismatch between Prometheus Adapter's metrics-relist-interval/metrics-max-age and the HPA sync-period. Here's the three-layer delay chain and how to diagnose it.
Enabling both HPA and VPA in Kubernetes can make two well-intentioned automations fight each other, sending autoscaling into an endless spiral. Here's why the conflict happens, and how to combine them safely with updateMode and metric separation.
KEDA and HPA aren't an either-or choice. When event-driven workloads grow on K3s/Kubernetes, here's why HPA alone hits its limits and how to decide when to add KEDA alongside it.
When CPU/memory-based HPA on K3s can't keep up with event-driven workloads, should you extend HPA or adopt KEDA, the CNCF-graduated project? Here's a 3-point decision framework, plus what to watch for on K3s.
You set up an HPA in K3s and Pods still won't scale. The usual culprits are unset resource requests silently disabling metrics, and a self-reinforcing HPA/VPA feedback loop. Here's how to diagnose and fix it.
Generating Kubernetes manifests at AI speed doesn't make production Kubernetes operations faster. This article breaks down three real bottlenecks — CPU throttling, the HPA/VPA conflict, and database connection starvation — and how to split the work between AI and humans.
Master Kubernetes autoscaling with HPA, VPA, and KEDA. Learn each tool's strengths, combination patterns, and cost optimization impact with practical examples.