Lyft runs operations on Amazon Web Services
Rideshare service Lyft will support all its activities with Amazon Web Services (AWS).
Lyft, which partners with many retailers and restaurants for online delivery and click-and-collect services, will utilize the AWS cloud platform to enhance its ridesharing marketplace, drive growth of its bike and scooters businesses, and enable its self-driving technology. The company already runs its on-demand transportation platform, backend platform systems, financial applications, and website on AWS.
Lyft is leveraging AWS services including database, serverless, machine learning, and analytics. The rideshare service can scale AWS infrastructure for peak periods, such as weekends and holidays.
In addition, Lyft relies on the scalable, high-performance Amazon DynamoDB database to support its mission-critical workloads, including a ride-tracking system that enables the company to provide more precise vehicle routing. Lyft also has a data lake on Amazon Simple Storage Service (Amazon S3) and leverages Amazon Redshift data warehouse to analyze the 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 Lyft Line shared ride service.
Looking ahead, Lyft plans 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.
“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 Lyftriders,” said Chris Lambert, CTO at Lyft. “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.”
Lyft, which partners with many retailers and restaurants for online delivery and click-and-collect services, will utilize the AWS cloud platform to enhance its ridesharing marketplace, drive growth of its bike and scooters businesses, and enable its self-driving technology. The company already runs its on-demand transportation platform, backend platform systems, financial applications, and website on AWS.
Lyft is leveraging AWS services including database, serverless, machine learning, and analytics. The rideshare service can scale AWS infrastructure for peak periods, such as weekends and holidays.
In addition, Lyft relies on the scalable, high-performance Amazon DynamoDB database to support its mission-critical workloads, including a ride-tracking system that enables the company to provide more precise vehicle routing. Lyft also has a data lake on Amazon Simple Storage Service (Amazon S3) and leverages Amazon Redshift data warehouse to analyze the 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 Lyft Line shared ride service.
Looking ahead, Lyft plans 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.
“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 Lyftriders,” said Chris Lambert, CTO at Lyft. “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.”