Podcast AWS LATAM · Episode

What's new? Today, we are excited to announce the Deployment Agent for Azure Copilot, an agentic capability that makes infrastructure planning and deployment...

AWSTrustedAdvisorはAWSに蓄積されたベストプラクティスをチェック項目としてAWSアカウント内で作成されたリソース状況を評価する機能です今まではつのチェックカテゴリが提供されていましたが

In this episode, we explore how AI enhances Operational Excellence. From observability and troubleshooting to automation, governance, and human-in-the-loop decision making. In this conversation, Boris Scholl and Niels Buit discuss where AI delivers real value—and where architects must carefully manage risks and tradeoffs. If you’re a cloud architect, platform engineer, or developer responsible for operating systems in production, this video will help you understand how to apply AI practically and assess risks and tradeoffs in real-world environments. ✅ What You’ll Learn How AI fits into the Operational Excellence pillar of the Well-Architected Framework How AI improves observability, dependency mapping, and proactive issue detection What AI can do today in root cause analysis, summarization, and remediation The risks of non-deterministic systems and how to mitigate them When and why to keep a human in the loop Security, privacy, and governance considerations for AI-driven operations How AI can turn WAF from a static checklist into a living, evolving system 00:06 – AI and Operational Excellence in the Well-Architected Framework 00:48 – Running AI vs Using AI to Improve Operations 01:21 – Why Day Two Operations Matter More Than Day One 02:05 – Observability, Deployment, and Troubleshooting 02:40 – Why Observability Is the Best Starting Point for AI 03:38 – Non-Deterministic AI and Operational Risk 04:05 – Real-World AI Use in Engineering Operations 04:39 – AI Opportunities: Simulation and Auto-Remediation 05:00 – Getting Started with OpenTelemetry 05:48 – What AI Enables in Observability Today 06:24 – Dependency Graphs and Predictive Failure Detection 07:01 – Human-in-the-Loop for Critical Incidents 08:00 – Fail Fast, Guardrails, and Responsible AI 08:50 – Hallucinations, RCA Accuracy, and Summarization Risk 09:29 – AI-as-a-Judge and Evaluation Patterns 10:17 – Security and Privacy Considerations 11:30 – How WAF Helps Navigate AI Tradeoffs 12:19 – Making WAF a Living, AI-Driven Framework 13:15 – Key Takeaways and Final Thoughts 🔗 Resources & Links 🚀 Azure Well-Architected Framework https://learn.microsoft.com/azure/well-architected/ Microsoft Learn https://learn.microsoft.com/en-us/azure/well-architected/operational-excellence/ ⚡ Try Azure for free https://aka.ms/AzureFreeTrialYT 👥 Speakers Boris Scholl https://www.linkedin.com/in/bscholl/ Niels Buit https://www.linkedin.com/in/nielsbuit/ #Azure #AI #OperationalExcellence #WellArchitectedFramework #CloudArchitecture #Observability #OpenTelemetry #DevOps #ResponsibleAI #AzureArchitecture #MicrosoftDeveloper #CloudComputing