Intelligent Utilization Aware Autoscaling for Impala Virtual Compute Clusters
Sizing Virtual compute clusters for diverse and complex workloads is hard. Queries often require large clusters to meet SLA requirements which can lead to low utilization and excessive cloud spend. To solve this problem, we present intelligent autoscaling for Impala virtual warehouses. This powerful feature dynamically analyzes query execution plans and resource requirements and adjusts cluster size to follow the workload. Once cluster size limits have been set, the autoscaler works in the background to maintain the ideal cluster size and is transparent to users. Observability UIs have also been enhanced to help understand autoscaler behavior and further tune workloads.
We achieved 2 key goals with the design - delivering better ROI for compute cost and ease of use for admins/users to manage Virtual Clusters.
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Appeared in Community Over Code NA 2024