Case Study

Edmunds Saves $100,000 in Year One by Going Serverless on AWS

Edmunds Saves $100,000 in Year One by Going Serverless on AWS

Edmunds optimized image processing and cost efficiency by implementing a serverless solution on AWS, saving $100,000 in the first year. Using AWS Lambda, Amazon S3, and Amazon Athena, they processed 50 million images in 8 days for just $6,000, avoiding $10,000 in monthly infrastructure costs. The transition enabled scalable, on-demand processing, rapid feature development, and seamless integration with machine learning tools like Amazon SageMaker. With automated archiving and serverless architecture, Edmunds reduced storage by 20TB and improved agility, speed, and operational efficiency for future innovations.

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