Big Data DevOps and Infrastructure
A Guided Tour of Autoscaling in Kubernetes
One of the goals when deploying apps in Kubernetes is to be able to scale them and the infrastructure dynamically based on demand. This should be done in order to ensure a good user experience whilst also optimizing the costs. But as we will see, autoscaling without compromising the availability or performance, in a cost-effective manner, is not always simple. In this session, we will discuss the most common pitfalls encountered while autoscaling in Kubernetes using the HPA (Horizontal Pod Autoscaler), the VPA( Vertical Pod Autoscaler), and also the Cluster Autoscaler and walk you through the limitations and workarounds for each of these autoscaling strategies.
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