This three-part Azure Serverless series (episodes 21-23) explores DevOps use cases. Episode 21 introduces serverless computing, highlighting its dynamic resource allocation. Episodes 22 & 23 demonstrate cost optimization and compliance management using serverless functions (e.g., Python scripts triggered by events like blob storage creation) to automate tasks and reduce costs compared to always-on VMs. This segment clarifies the concept of serverless computing, dispelling the misconception that it means no servers are involved. It emphasizes the dynamic provisioning and deletion of servers as the core principle, setting the stage for understanding its benefits in DevOps. This segment presents a realistic scenario where developers, due to urgency or oversight, create Azure blob storage with misconfigurations (public access enabled, improper lifecycle management). It highlights the resulting cost and security risks, establishing the need for automated solutions. This segment compares the traditional approach of using Python scripts on a virtual machine to monitor and manage cloud resources with a serverless approach. It effectively demonstrates the cost inefficiencies of the former, especially when dealing with numerous resources and infrequent execution needs, making a strong case for serverless.