In this whitepaper, we describe Workload-Aware Auto-Scaling, an alternative architectural approach to Auto-Scaling that is better suited for new classes of applications like Hadoop, Spark, and Presto that have now become commonplace in the Cloud. We show that traditional auto-scaling technologies are ill-suited for Big Data applications and that Workload-Aware Auto-Scaling technologies such as those offered by Qubole are vastly superior.
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