Comparative Analysis of AWS Model Deployment Services
Rahul Bagai

TL;DR
This paper compares AWS model deployment services, highlighting their strengths and weaknesses, and guides developers in choosing the most suitable service based on efficiency, flexibility, and scalability.
Contribution
It provides a comprehensive comparative analysis of AWS SageMaker, Lambda, and ECS, emphasizing their advantages and ideal use cases for model deployment.
Findings
Lambda excels in efficiency and autoscaling
ECS offers superior flexibility and infrastructure control
ECS is preferred for complex container environments and scalability
Abstract
Amazon Web Services (AWS) offers three important Model Deployment Services for model developers: SageMaker, Lambda, and Elastic Container Service (ECS). These services have critical advantages and disadvantages, influencing model developer's adoption decisions. This comparative analysis reviews the merits and drawbacks of these services. This analysis found that Lambda AWS service leads in efficiency, autoscaling aspects, and integration during model development. However, ECS was found to be outstanding in terms of flexibility, scalability, and infrastructure control; conversely, ECS is better suited when it comes to managing complex container environments during model development, as well as addressing budget concerns -- it is, therefore, the preferred option for model developers whose objective is to achieve complete freedom and framework flexibility with horizontal scaling. ECS is…
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Taxonomy
Methodstravel james · ALIGN
