Customer Stories / Hospitality
2022
Starbucks Uses Data on AWS to Improve Customer Service
Starbucks, a Seattle-based global coffee company with more then 33,000 stores worldwide, is driven by its mission statement to “inspire and nurture the human spirit, one person, one cup, and one neighborhood at a time.”
According to Rajesh Naidu—former vice president enterprise data and analytics technology, enterprise architecture, and emerging technology at Starbucks—data is the cornerstone of being able to connect with its customers, understand their preferences, and make those moments meaningful. The Starbucks analytics and data ecosystem is heavily reliant on its systems of record for digital ordering and loyalty that run on Amazon Web Services (AWS).
“By leveraging Amazon Elastic Kubernetes Service (Amazon EKS), we were able to get the managed Kubernetes services offering and have AWS reliably run these workloads in multiple Availability Zones, and provide us the reliability and security that we needed,” says Naidu. “Another wonderful feature that we are able to utilize with AWS is combining Amazon EC2 Spot Instances with on-demand instances using Amazon EC2 Auto Scaling to optimize workload and cost performance.”
Looking to the future, Starbucks is investing in machine learning and artificial intelligence, data literacy across all levels of the company, and other initiatives to spur growth and deliver innovation for its customers and partners.
Learn more about how you can work with AWS to improve customer service.
By leveraging Amazon Elastic Kubernetes Service (EKS), we were able to get the managed Kubernetes services offering and have AWS reliably run these workloads in multiple Availability Zones, and provide us the reliability and security that we needed."
Rajesh Naidu
Former Vice President Enterprise Data and Analytics Technology, Enterprise Architecture, and Emerging Technology at Starbucks
AWS Services Used
Amazon Elastic Kubernetes Service
Amazon Elastic Kubernetes Service (Amazon EKS) is a managed container service to run and scale Kubernetes applications in the cloud or on-premises.
Amazon EC2 Spot Instances
Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances let you take advantage of unused EC2 capacity in the AWS Cloud.
Learn more »
Amazon EC2 Auto Scaling
Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define.
Learn more »
Get Started
Organizations of all sizes across all industries are transforming their businesses and delivering on their missions every day using AWS. Contact our experts and start your own AWS journey today.