Lyft Case Study

Lyft is the fastest growing rideshare company in the United States and is available in more than 200 cities, facilitating 14 million rides per month. Lyft uses AWS to move faster as a company and manage its exponential growth, leveraging AWS products to support more than 100 microservices that enhance every element of its customers’ experience. Lyft launched on AWS and dramatically expanded its use of AWS products as they became available. It uses products such as Auto Scaling to manage up to eight times more riders during peak times and Amazon Redshift to gain customer insights that power the company’s shared-ride product, Lyft Line. It uses Amazon Kinesis to funnel production events through the system, and leverages the scalability of Amazon DynamoDB for multiple data stores, including a ride-tracking system that stores GPS coordinates for all rides. As part of their microservices infrastructure on AWS, Lyft relies on Amazon EC2 Container Registry (ECR) to durably store container images for their applications and reliably deliver these images to downstream test and deployment systems.