Use AI to Achieve Operational Excellence with the Well-Architected Framework practices
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 int…
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Chapters (18)
0:06
AI and Operational Excellence in the Well-Architected Framework
0:48
Running AI vs Using AI to Improve Operations
1:21
Why Day Two Operations Matter More Than Day One
2:05
Observability, Deployment, and Troubleshooting
2:40
Why Observability Is the Best Starting Point for AI
3:38
Non-Deterministic AI and Operational Risk
4:05
Real-World AI Use in Engineering Operations
4:39
AI Opportunities: Simulation and Auto-Remediation
5:00
Getting Started with OpenTelemetry
5:48
What AI Enables in Observability Today
6:24
Dependency Graphs and Predictive Failure Detection
7:01
Human-in-the-Loop for Critical Incidents
8:00
Fail Fast, Guardrails, and Responsible AI
8:50
Hallucinations, RCA Accuracy, and Summarization Risk
9:29
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
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