Palo Alto Networks Cloud Management Case Study

This case study outlines how Palo Alto Networks partnered with Sedai to enhance its cloud management and operational efficiency. The document details the challenges faced by Palo Alto Networks in managing a complex, multi-cloud environment, which includes hundreds of services and requires constant optimization to maintain high availability. The case study explains how Sedai's autonomous cloud management platform utilizes deep reinforcement learning technology to understand the company's cloud architecture and make informed recommendations. It describes the transition from traditional monitoring tools to Sedai's Autopilot mode, where the platform autonomously takes actions to meet specific service level objectives. The results of this partnership include significant cost savings of $3.5 million and a reduction in manual toil for engineers, allowing them to focus on more strategic tasks. The case study emphasizes the importance of collaboration between human engineers and AI in achieving optimal cloud performance and availability.