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Throughput autoscaling: Dynamic sizing for Facebook.com

Sep 14, 2020Daniel Boeve, Kiryong Ha, Anca Agape
Throughput autoscaling: Dynamic sizing for Facebook.com
SummaryAI, from the source post

This post details the implementation of throughput autoscaling for Facebook.com's web tier. It describes the transition from static capacity provisioning to dynamic sizing based on workload-driven throughput metrics. The system models predicted steady-state and disaster demand using ML and estimates supply through internal load testing. This approach optimizes resource utilization by dynamically adjusting capacity to meet fluctuating global traffic patterns and disaster readiness requirements.

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