Lyft Goes All-In on AWS

Amazon Web Services, Inc., an company, announced that Lyft, Inc. is going all-in on the world’s leading cloud—to enhance Lyft’s ridesharing marketplace which is available to an estimated 95 percent of the U.S. population, as well as in select Canadian cities, drive growth of its bike and scooters businesses, and enable its self-driving technology.

Since its inception, Lyft has leveraged AWS’s unmatched performance and scalability to power its on-demand transportation platform, which facilitates more than 50 million rides a month. Lyft runs its operations, which provides a multimodal platform for drivers and riders in the U.S. and Canada, as well as backend platform systems, financial applications, and website on AWS.

The company is leveraging the breadth and depth of AWS’s services, including database, serverless, machine learning, and analytics, to automate and enhance on-demand, multimodal transportation for riders and drive innovation in its autonomous vehicles business.

Running on AWS’s fault-tolerant, highly performant infrastructure, helps support Lyft’s everyday business, and scales easily for peak periods, where demand can skyrocket on weekends and holidays. In addition, Lyft relies on Amazon DynamoDB, a database that delivers high performance at scale, to support its mission-critical workloads, including a ride-tracking system that enables the company to provide more precise vehicle routing.

By leveraging Amazon DynamoDB, Amazon Elastic Container Service for Kubernetes (Amazon EKS) and AWS Lambda, Lyft migrated to a microservices architecture to create more than 150 microservices that independently scale workloads while reducing complexity in the cloud to enhance every element of the rider experience. Lyft also has a data lake on Amazon Simple Storage Service (Amazon S3) and leverages Amazon Redshift to analyze the vast amount of data it is storing in the cloud, delivering insights that uncover riding patterns and predict pick-up and drop-off locations.

This technology supported the introduction of the company’s Shared ride service, Lyft Line. Lyft is looking to leverage machine learning services such as Amazon SageMaker to help provide fare estimates, enable fraud detection, and optimize pick-up and drop-off spots, to achieve its goal of building a cost-effective and reliable self-driving system for ridesharing.

“We built our business on AWS from the very beginning, taking advantage of their extensive compute power, depth and breadth of services, and expertise to develop an effective cloud infrastructure to support our growing business and goal of improving people’s lives with transportation,” said Chris Lambert, Chief Technology Officer at Lyft. “By operating on AWS, we are able to scale and innovate quickly to provide new features and improvements to our services and deliver exceptional transportation experiences to our growing community of Lyft riders.

With AWS, we don’t have to focus on the undifferentiated heavy lifting of managing our infrastructure, and can concentrate instead on developing and improving services with the goal of providing the best transportation experiences for riders and drivers, and take advantage of the opportunity for Lyft to develop best-in-class self-driving technology.”

“The rise of ridesharing companies like Lyft has been transformational – changing the transportation model from one that revolved around cities to a new personalized, convenient, on-demand experience. With AWS, Lyft is poised to lead the next major transformation in autonomous motor vehicle technology, by leveraging our industry-leading portfolio of cloud services, proven operational expertise, and unmatched reliability,” said Mike Clayville, Vice President, Worldwide Commercial Sales at AWS.

“By choosing to go all-in on AWS, Lyft is able to innovate, get-to-market quickly, scale, and expand globally, as they invent new ways to make transportation safer and more enjoyable for riders.”

5% OFF Coupon SmartHome