You work for a small company that uses Vertex AI to deploy Machine Learning models with autoscaling capabilities for serving online predictions in a production environment. The currently deployed model handles approximately 20 prediction requests per hour, maintaining an average response time of one second. Recently, you retrained this model using a new batch of data. To ensure the updated model performs well under real production conditions, you initiated a canary test, directing about 10% of the production traffic to the new model. During this testing phase, you observed that prediction requests to the new model are taking significantly longer to complete, often between 30 and 180 seconds. What steps should you take to address this issue?