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Kubernetes has grown to become the de facto operating system of the cloud, capable of running almost anything. As more enterprises embrace Kubernetes, cost optimization has become an increasing imperative. Kubernetes emerged in the mid-2010s from Borg, an internal Google system for orchestrating Google’s containerized microservices at massive scale. At around the same time, Hadoop was emerging to support the growth of increasingly large big data datasets. Kubernetes and Hadoop have grown in parallel, each suited for different types of workloads.