Factors influencing model deployment options

Here are the primary factors that play a crucial role in determining a model deployment option:

• Scalability requirements
  • High traffic: Imagine you are developing a recommendation system for a popular e-commerce platform expecting fluctuating traffic throughout the day. If the application anticipates high traffic and varying loads, services such as Amazon SageMaker with autoscaling capabilities or AWS Lambda may be preferable. This is crucial to maintain performance during peak hours.
• Real-time versus batch inference
  • Real-time inference: Consider a fraud detection system for a financial institution where immediate decisions are essential for transaction approval or denial. For such real-time predictions, services such as Amazon SageMaker and AWS Lambda are suitable. For fraud detection, these services provide low-latency responses, enabling quick decisions on the legitimacy of transactions. Real-time transactions trigger immediate...