MLOps Essentials: Enabling CloudWatch Logging & Monitoring for AWS ML APIs
Deployment is just the beginning—monitoring is where the real work of MLOps happens. In this tutorial, we dive into AWS CloudWatch to set up robust logging and observability for your machine learning models.
We walk through the process of enabling Error and Info logs within Amazon API Gateway, allowing you to track request/response data, monitor error rates, and debug Lambda executions in real-time.
What you will learn in this video:
- The Importance of Monitoring: Why observability is critical for the Machine Learning lifecycle.
- API Gateway Stage Settings: How to enable detailed metrics and…
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