Going Cloud Native with Serverless Data

Curious about serverless functions?  Wondering how they can help with cloud app development?

Attend our live webinar for information and demos and expert Q&A. Pieter Humphrey [Developer Product Manager] and Artem Chebotko [Developer Advocate] will demystify serverless and cut through the hype. They’ll also explain why pairing serverless functions with a serverless, NoSQL database can boost your development agility, performance, and cost savings.

  • See how serverless functions work, with demos of APIs and drivers.
  • Get the straight story on popular Function as a Service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions.
  • Find out how functions in multiple regions can work with a single, automatically replicated data backend.
  • Learn how you can minimize vendor lock-in and open up a wider range of use cases.
  • Take home best practices for using DataStax Drivers and Astra DB SDKs.

If you would like to have more practical information and guidance on modern serverless technology, please review the following demos:

"AWS Lambda Cloud Functions and Astra DB in 5 minutes"

"Google Cloud Functions and Astra DB in 5 minutes"



Pieter Humphrey

Developer Product Manager @DataStax

Pieter Humphrey has been in the tech industry for 20 years, working in development, marketing, sales, and developer relations to advance Java technology in the enterprise, and more recently on the cloud. Developers have been a consistent focus across his experiences at companies like BEA, Oracle, VMware, Pivotal, Elastic and DataStax. At DataStax he's focused on enabling back-end engineers to succeed with Apache Cassandra, and with data on Kubernetes.


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Artem Chebotko

Developer Advocate @DataStax

Dr. Artem Chebotko is a Data Professional and Computer Scientist with core expertise in data modeling, data engineering, data warehousing, and data analytics. For over 20 years, he has been leading and participating in research and development projects on NoSQL, Relational, Graph, Provenance, RDF, and XML databases. He is the inventor of the Big Data Modeling Methodology for Apache Cassandra and the author of over 50 peer-reviewed technical papers and presentations. He received his Ph.D. in Computer Science from Wayne State University in 2008.


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Session Sponsored By

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Tuesday Dec 6 / 12:30PM PST ( 50 minutes )