The Bazaarvoice team has successfully migrated their Curations platform to a serverless architecture using MongoDB Atlas and AWS Lambda, resulting in massive cost savings of nearly 90% compared to their previous monolithic Python/Django-based stack on Amazon EC2 instances. The new platform is broken into three services for content collection, enrichment, and display, with the collections service powered by a series of AWS Lambda functions triggered by an Amazon Kinesis stream. MongoDB Atlas provides a fully managed solution that allows the team to focus on product development rather than infrastructure management, resulting in improved operational efficiency and increased insight into database performance. The team uses various Atlas features such as Performance Advisor and Real Time Performance Panel to optimize indexes, diagnose inefficient queries, and identify issues with high load times. By adopting a serverless approach, Bazaarvoice is able to scale to hundreds of new clients without increasing operational overhead, and has achieved significant cost savings and improved performance gains.