- Home›
- The Official AWS Podcast
Episode summary
Deep Dive
Organizations use their data to make better decisions and build innovative experiences for their customers. With the exponential growth in data, and the rapid pace of innovation in machine learning (ML), there is a growing need to build modern data applications that are agile and scalable. In this episode, Jillian is joined by Vara Bonthu, Principal Solutions Architect, and Alex Lines, Sr. Containers Specialist, to talk through why Kubernetes is becoming a popular choice for modernizing data applications, like batch processing and ML. They also discuss how AWS's open-source project, Data on EKS, helps customers build and test common use cases, like batch processing with Apache Spark or training an ML language model, to decrease the time it takes to get to production.
Host
Jillian Forde
Jillian is a Sr. Solutions Architect who works with startups to help them grow their businesses using the AWS cloud. Jillian did not have a tech background prior to joining AWS. As an official AWS podcast host, she strives to help people new to the tech industry and cloud computing learn technical concepts essential to a thriving career. Follow her on Twitter.
Guests
Vara Bonthu
Vara Bonthu is a dedicated technology professional and Worldwide Tech Leader for Data on EKS, specializing in assisting AWS customers ranging from strategic accounts to diverse organizations. He is passionate about open-source technologies, Data Analytics, AI/ML, and Kubernetes, and boasts an extensive background in development, DevOps, and architecture. Vara's primary focus is on building highly scalable Data and AI/ML solutions on Kubernetes platforms, helping customers harness the full potential of cutting-edge technology for their data-driven pursuits.
Alex Lines
Alex Lines is a Sr. Containers Specialist working on Amazon Elastic Kubernetes Service (EKS). He leads the go-to-market strategy for Data on EKS, a worldwide initiative to help customers modernize their data applications, like data processing and machine learning, on Amazon EKS.
We'd love to hear your questions and comments.
Leave us a voicemail, and we may use it on one of our upcoming episodes.
About The Official AWS Podcast
Did you find what you were looking for today?
Let us know so we can improve the quality of the content on our pages