Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › Cloud Computing › Snowflake › AI/ML › Model Deployment

Scaling challenges

concept · part of Model Deployment

Scaling challenges occur when a model that works well in a controlled environment struggles to handle increased demand in production. Causes include limited infrastructure resources, poor load balancing, or inefficient deployment strategies. Mitigation involves using container orchestration tools like Kubernetes with autoscaling policies that dynamically adjust resource allocation based on demand, and load balancers to distribute workload evenly. For example, a ride-sharing app predicting rider demand can use Kubernetes and autoscaling to handle spikes during peak hours.

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