MManu ShuklaJul 30 · 13 min readKubernetes autoscaling for AI inference in 2026: HPA vs KEDA vs external metricsKubernetes autoscaling for AI inference in 2026: HPA vs KEDA vs external metrics Summary. In Datadog's 2025 State of Containers and Serverless report, 64% of organisations run the Horizontal Pod Autosecorpit.hashnode.dev
RRui CoelhoJul 7 · 12 min readFrom 0 to Hero: Mastering Auto Scaling in KubernetesScaling applications is one of the hardest challenges in cloud-native environments. With Kubernetes, you get powerful autoscaling primitives that make workloads adaptive, resilient, and cost-efficientruicoelho.hashnode.dev
MMyroslav VivcharykMay 13 · 18 min readKubernetes Through Control Theory Glasses — Part 1: HPAOne Saturday morning I was fixing my coffee grinder while watching James Hoffmann explain how a PID controller works in an espresso machine — using a ship navigation system as the example. Something cdevgeist.hashnode.dev
HHema Sundharam KollaApr 1 · 6 min read🚀 Kubernetes Debugging Deep Dive: From “Metrics API Not Available” to Fully Working HPA (Step-by-Step Real Troubleshooting)If you’ve ever tried setting up Metrics Server + HPA (Horizontal Pod Autoscaler) and got stuck with errors like: error: Metrics API not available cpu: <unknown>/5% False (MissingEndpoints) CrashLoopBahemasundharamkolla.hashnode.dev
SSaeed Anwar AnsariFeb 22 · 4 min readWhy Your Kubernetes Pods Aren't Scaling Down to 1: Cracking the HPA AlgorithmEvery DevOps engineer knows the thrill of watching Kubernetes scale up effortlessly to meet demand. We set our Horizontal Pod Autoscalers (HPAs) to a target CPU utilization—say, 75%—and marvel as our saeed.hashnode.dev
SSachindu MalshanFeb 21 · 11 min readBuilding a Self-Healing GitOps Based Micro-services Platform on GKE with Argo CD, HPA & n8nRepository Link: https://github.com/sachindumalshan/gitops-repo.git Architecture Overview Here is the system level architecture. Google Cloud (GKE) │ ├── Kubernetes Cluster (gitops-cluster) │ ├── deblog.sachindu.me
TTech Insights HubFeb 13 · 6 min readKubernetes Autoscaling Guide: HPA, VPA, and Cluster AutoscalerKubernetes Autoscaling Guide: HPA, VPA, and Cluster Autoscaler Kubernetes autoscaling is essential for maintaining application performance while optimizing resource costs. This comprehensive guide explores three primary autoscaling mechanisms: Horizo...topperblog.hashnode.dev
TTech Insights HubFeb 12 · 10 min readHPA: Horizontal Pod Autoscaler MetricsWhy Default HPA Metrics Fail Modern Workloads The standard Kubernetes HPA implementation defaults to CPU utilization as its primary metric, with an 80% target threshold and a 15-second metric resolution from the metrics-server. This configuration ass...topperblog.hashnode.dev
CCathleen ScotJan 29 · 3 min readHPE6-A85 Exam Questions with Explanations (Real Practice for the Aruba Exam)Preparing for the HPE6‑A85 exam becomes dramatically easier when you practice realistic questions with clear explanations. Memorizing answers may help temporarily — but understanding why an answer is correct is what builds the confidence needed for A...hpe6-a85-exam-questions.hashnode.dev
TtarunJan 13 · 3 min readSimplifying Kubernetes: Scale Your Applications EasilyIf you’re just starting out with Kubernetes, you’ve probably realized that "scaling" is one of its biggest selling points. But then you look at the documentation and see HPA, VPA, and KEDA. Which one should you use? 1. Horizontal Pod Autoscaler (HPA)...tarungampa.hashnode.dev