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Engineering Self-Healing Automation: The Telemetry-Driven Logic Layer
Stop treating automation failure as an interruption and start treating it as valuable input for a smarter system. Most teams are trapped in a cycle of manual supervision, where every new flow adds to a growing pile of maintenance debt. In this video, we break down how to move beyond basic error handling to build a telemetry-driven logic layer that allows your flows to supervise themselves. 🚀
We dive deep into the architecture of a self-healing estate, focusing on how to separate business logic from supervisory logic. You will learn how to create a telemetry nerve center that captures decision-grade data, allowing your system to classify drift and apply remediation automatically. We also discuss the critical balance between Power Automate and Azure Logic Apps, ensuring your recursive loops stay cost-effective and scalable. 🛠️
Key points from the video include:
✅ Why manual debugging is the hidden killer of automation scaling
✅ The difference between local error handling and a telemetry logic layer
✅ How to design a nerve center using SharePoint, Dataverse, or Azure
✅ Engineering controlled recursive loops that improve with every pass
✅ Setting up governance brakes and risk tiers for autonomous actions
✅ Transitioning from brittle individual flows to a self-healing estate
Chapters:
0:00 The Problem With Manual Supervision
2:15 The True Cost of Maintenance Debt
5:10 Building a Telemetry Driven Logic Layer
8:45 Creating the Telemetry Nerve Center
12:05 Engineering Recursive Loops and Re-entry
15:20 Scaling and Platform Tradeoffs
18:10 Governance and Autonomy With Brakes
19:45 How to Start Your Self Healing Journey
If this shift in automation strategy helped you, please subscribe to the M365 FM podcast and leave a review. You can also connect with Mirko Peters on LinkedIn to suggest the next system you want to see broken down. 📈
#PowerAutomate #AutomationStrategy #M365 #DigitalTransformation #SelfHealingSystems
Видео Engineering Self-Healing Automation: The Telemetry-Driven Logic Layer канала M365 FM Podcast - with Mirko Peters
We dive deep into the architecture of a self-healing estate, focusing on how to separate business logic from supervisory logic. You will learn how to create a telemetry nerve center that captures decision-grade data, allowing your system to classify drift and apply remediation automatically. We also discuss the critical balance between Power Automate and Azure Logic Apps, ensuring your recursive loops stay cost-effective and scalable. 🛠️
Key points from the video include:
✅ Why manual debugging is the hidden killer of automation scaling
✅ The difference between local error handling and a telemetry logic layer
✅ How to design a nerve center using SharePoint, Dataverse, or Azure
✅ Engineering controlled recursive loops that improve with every pass
✅ Setting up governance brakes and risk tiers for autonomous actions
✅ Transitioning from brittle individual flows to a self-healing estate
Chapters:
0:00 The Problem With Manual Supervision
2:15 The True Cost of Maintenance Debt
5:10 Building a Telemetry Driven Logic Layer
8:45 Creating the Telemetry Nerve Center
12:05 Engineering Recursive Loops and Re-entry
15:20 Scaling and Platform Tradeoffs
18:10 Governance and Autonomy With Brakes
19:45 How to Start Your Self Healing Journey
If this shift in automation strategy helped you, please subscribe to the M365 FM podcast and leave a review. You can also connect with Mirko Peters on LinkedIn to suggest the next system you want to see broken down. 📈
#PowerAutomate #AutomationStrategy #M365 #DigitalTransformation #SelfHealingSystems
Видео Engineering Self-Healing Automation: The Telemetry-Driven Logic Layer канала M365 FM Podcast - with Mirko Peters
Power Automate Workflow Automation Microsoft Power Platform Enterprise Automation Power Automate Telemetry Self-Correcting Flows Maintenance Debt Supervisory Logic Power Automate Governance Error Handling Power Automate Recursive Feedback Loops Autonomous Automation Hyperautomation Strategy Low Code Governance Power Automate Best Practices Automation Scalability Workflow Optimization Predictive Maintenance System Reliability Engineering
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3 мая 2026 г. 19:15:55
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