Autoscaling
Last updated
What is Autoscaling?
Autoscaling in Kubernetes involves adjusting the resources allocated to a deployment or set of pods based on demand. It includes Horizontal Pod Autoscaling (HPA) and Vertical Pod Autoscaling (VPA), which increase or decrease replicas or adjust resource requests and limits, respectively. Autoscaling can be used with Cluster Autoscaling to efficiently allocate resources and ensure application responsiveness. It's useful for handling variable workloads or sudden spikes in traffic.
Free resources to learn Autoscaling
- Official docsAutoscaling in Kubernetes
- VideoKubernetes cluster autoscaling for beginners
More in stage 12: Autoscaling
Autoscaling: common questions
Can I learn Autoscaling in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Autoscaling in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Autoscaling tutorial for beginners?
It is lesson 49 of 67 in the free Kubernetes roadmap, in stage 12, Autoscaling. If you are new to Kubernetes, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.