The latest release of Kubernetes, version 1.26, has introduced several new autoscaling capabilities that allow users to scale their workloads based on custom metrics, multiple metrics, and a range of APIs. These features offer increased flexibility and options for scaling in Kubernetes environments. However, the KEDA project still provides additional features, such as the ability to scale “from zero” and “to zero,” which can be useful for certain types of workloads. In this article, we will explore the new autoscaling capabilities in Kubernetes 1.26 and how they compare to the features offered by KEDA.
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