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Cracking the Kubernetes Interview
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Let’s journey further into Kubernetes autoscaling. Imagine your app hits the spotlight and user numbers soar. You’d want it to handle this new popularity seamlessly. That’s where Kubernetes autoscaling proves invaluable. It scales your app’s resources up or down based on traffic, ensuring solid performance without wasting money.
We’ve touched on how to scale within a Kubernetes cluster using the Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) in earlier chapters. Now, we’ll zoom out to see how to expand the cluster’s capacity itself, ensuring it can handle the increased load.
Remember, Kubernetes is a dual-structured system. There’s the control plane and the worker nodes. In a cloud service scenario, the provider usually scales the control plane for you. Many cloud services, such as AWS, offer managed solutions that handle the scaling for you. This is highly recommended, as it offloads...