Discover how graph theory is revolutionizing cloud cost optimization beyond traditional FinOps approaches. This special episode reveals how to map your entire cloud infrastructure as a connected graph to identify hidden cost relationships and engineer systematic savings. Learn to model nodes (VMs, storage, databases) and edges (data transfers, API calls, dependencies) to visualize true cost paths through your system. Perfect for DevOps engineers, cloud architects, and FinOps teams ready to move from resource-by-resource optimization to whole-architecture cost engineering. Features practical implementation guides using Python NetworkX, real-world big data pipeline examples, and automated scenario testing for migrations and scaling events. Stop playing whack-a-mole with cloud costs and start systematically optimizing multi-cloud, multi-region architectures using proven mathematical approaches that reveal cheaper routes and hidden savings opportunities.

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