Azure promises that you only pay for what you use, but the reality is that most teams pay for what they forgot to shut down. If your cloud bill is filled with orphaned disks, idle VMs, and stale test environments, manual cleanup is no longer a viable strategy. In this video, we explore how to build an automated governance engine that finds and removes waste safely and consistently. 🚀

We dive deep into a three part framework where Azure Policy acts as the law, tags provide the necessary context, and Logic Apps handle the final action. You will learn how to identify life cycle drift and why resources often outlive the projects that created them. We break down the specific tagging taxonomy you need, including owner paths, environment types, and expiry dates, to ensure your automation never has to guess before it deletes a resource. 🏷️

Beyond the basics, we walk through the technical implementation of a Logic App cleanup flow. This includes using Azure Resource Graph for discovery, validating resources against locks and dependencies, and setting up a dry run mode to build organizational trust. By shifting from manual reports to automated enforcement, you can ensure your cloud governance scales alongside your engineering speed. ⚙️

Chapters
0:00 Intro: The Problem of Cloud Waste
3:15 Life Cycle Drift and Why Waste Survives
6:45 The Governance Model: Policy, Tags, and Logic
9:30 Designing a Tagging System for Deletion
13:00 Building the Logic App Cleanup Workflow
16:30 Overcoming Locks and Resource Dependencies
19:00 Measuring Success and Prevented Costs
20:53 Wrap Up and Final Takeaways

If this strategy changed how you think about cloud management, make sure to subscribe for more deep dives into Azure architecture and governance. 🛡️

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