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Engineering Self-Healing Automation: The Telemetry-Driven Logic Layer
3 mag 2026 ·
20 min. 26 sec.
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Engineering Self-Healing Automation: The Telemetry-Driven Logic Layer
Descrizione
Most Power Automate estates still depend on people checking failed runs and patching symptoms every weekend. This episode is for makers, architects and platform teams who want automation that observes...
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Most Power Automate estates still depend on people checking failed runs and patching symptoms every weekend. This episode is for makers, architects and platform teams who want automation that observes itself and recovers safely. Learn how telemetry, decision logic and bounded self-correction turn a growing flow estate into a self-healing one.
In this episode
Key takeaways
Worth quoting
“So the shift is this, stop treating failure as an interruption, treat it as input.” – Mirko Peters (00:32)
“And if you remember nothing else, remember this. The remediation is not the smart part. The decision is.” – Mirko Peters (04:34)
Explore more on M365.FM
Follow and rate M365.FM in your podcast app, and join the free M365 community at m365con.net.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-microsoft-365-azure-cloud-power-platform-ai--6704921/support.
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In this episode
- 00:00 – Why flows don't manage themselves: maintenance debt
- 00:44 – The death of manual debugging
- 03:20 – The telemetry-driven logic layer
- 06:20 – Building the telemetry nerve center
- 09:58 – Engineering the recursive loop
- 13:38 – Cost, scale and platform trade-offs: Power Automate and Logic Apps
- 17:21 – Governance, AI and autonomy with brakes
- 19:28 – Implementation path: from brittle flow to self-healing estate
Key takeaways
- Every new Power Automate flow adds maintenance debt, so failures should be treated as input for a telemetry-driven logic layer that classifies drift and chooses a safe response.
- A lean telemetry nerve center, reusable child flows and bounded recursive loops with confidence gates, cooling periods and clear termination conditions turn retries into guided re-entry.
- Self-healing automation needs governance through risk tiers, evidence for every remediation and human approval for high-risk fixes, and heavier recursion belongs in Azure Logic Apps.
Worth quoting
“So the shift is this, stop treating failure as an interruption, treat it as input.” – Mirko Peters (00:32)
“And if you remember nothing else, remember this. The remediation is not the smart part. The decision is.” – Mirko Peters (04:34)
Explore more on M365.FM
- Episode page: the full episode with chapters, quotes and FAQ on self-healing flows
- Power Automate – where the episode builds the loop with child flows, bounded retries and confidence gates
- Azure Logic Apps – the suggested home for deep recursion, high volume and cross-system orchestration
- Automation – growing flow estates add maintenance debt unless failures are treated as input
- Related episode: Beyond Governance: How To Build A Self-Healing Microsoft 365 Architecture For Scale
Follow and rate M365.FM in your podcast app, and join the free M365 community at m365con.net.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-microsoft-365-azure-cloud-power-platform-ai--6704921/support.
Informazioni
| Autore | Mirko Peters M365, Azure & AI |
| Organizzazione | m365 FM |
| Sito | www.m365.fm |
| Tag |
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