From the course: Agentic AI Fundamentals: Architectures, Frameworks, and Applications
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Robustness and fault tolerance
From the course: Agentic AI Fundamentals: Architectures, Frameworks, and Applications
Robustness and fault tolerance
- Many AI agents I've built in my career have worked well. However, a few have had reliability issues discovered during testing, allowing our team to address them before the system was deployed. If not addressed, a system that lacks reliability will lead to loss of trust in the agent's decision-making. This can be critical. Some of these agents could carry out important tasks, such as monitoring a jet engine during flight operations. To ensure the AI system operates reliably, robustness and fault tolerance are two concepts you want to address in your system design. Let's examine redundancy first. This is one of those basic concepts around providing reliability. We're placing two agents into production, where one will continue if the other stops working. It's similar to how we're using whole house generators as a backup power when power goes out. Redundancy ensures that if one part fails, others can take over, maintaining overall system functionality and reliability. Additionally…
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