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Explore a conference talk that delves into optimizing AWS DevOps practices using Python and machine learning techniques. Learn how to tackle scaling challenges in cloud infrastructure by leveraging data analysis and simulation. Discover methods for retrieving AWS data with pandas, analyzing host performance, and creating scaling simulators. Gain insights into traffic shape generation, local experimentation, and parameter optimization. Compare simulation results with real-life production testing, and understand the practical implications for improving cloud infrastructure efficiency. Acquire valuable knowledge on integrating Python and machine learning to enhance AWS DevOps workflows and decision-making processes.
Empowering AWS DevOps with Python and Machine Learning