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Lyft’s $300 Million Deal With AWS: 5 Things You Need To Know

Ride-hailing company Lyft Inc. this month provided an unusual window into its relationship with Amazon Web Services.

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Lyft Went All-In  

Last month, AWS said Lyft was going “all-in” with AWS to enhance its ridesharing services, grow its bike and scooter business, and enable its autonomous vehicle technology initiatives. Lyft is using AWS services including database, serverless, machine learning and analytics in addition to Amazon DynamoDB -- a serverless database that automatically scales and continuously backs up data -- to support mission-critical workloads, including its ride-tracking system that allows Lyft 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,” Amazon said in its announcement.

Lyft has a data lake on Amazon Simple Storage Service (Amazon S3) and uses Amazon Redshift to analyze the data it’s storing in the cloud to uncover riding patterns and predict rider pick-up and drop-off locations. Lyft also is looking to leverage machine learning services such as Amazon SageMaker to help provide building its self-driving system for ridesharing.


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