From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Gen AI troubleshooting and operations

Gen AI troubleshooting and operations

From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Gen AI troubleshooting and operations

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- [Instructor] Successful Gen A operation starts with continuous monitoring of both model and system health. Automated tools watch for data drift, unusual resource consumption, and any decline in model performance. Enabling teams to address issues before they disrupt service. While problems appear, root cause analysis relies on robust logging and audit trails. These tools record all model actions, data changes, and user interactions, making it easy to trace incidents and understand what went wrong during troubleshooting. Automated alerts and dashboards play a critical role. They provide real-time notifications about errors, slowdowns, or unusual events, helping operations teams respond quickly to restore system health and minimize disruption to users. Effective troubleshooting includes automated rollback and version control. When a new model version causes issues, teams can revert to a stable previous version, ensuring business continuity and keeping user experience consistent. Cloud…

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