Enable dynamic logging through the Vertex AI console without the need to redeploy the model, to immediately start capturing logs.

Configure Access logging to monitor and record all requests and responses to your model, focusing on latency and access patterns.

Undeploy the current model version and redeploy it with logging enabled, ensuring that all future predictions are logged for analysis.

Implement Container logging to capture detailed logs from the containers hosting your model, including system outputs and errors, for comprehensive debugging.

Use Cloud Logging to manually search and filter logs related to your model's predictions, without enabling any additional logging features.