CloudDevelopersDevOpsFeaturedTFIR InsightsVideo

Cassandra Goes Serverless With DataStax Astra

0

[su_note note_color=”#e4e4e4″ text_color=”#000″ class=”hvr-grow”]DataStax is the open, multi-cloud stack for modern data apps. DataStax gives enterprises the freedom of choice, simplicity, and true cloud economics to deploy massive data, delivered via APIs, powering rich interactions on multi-cloud, open source and Kub[/su_note]

Further democratizing Apache Cassandra, DataStax has announced a serverless option for Cassandra via DataStax Astra, its Cassandra-as-a-Service offering. “You can now deploy Cassandra without having to think about capacity,” said Patrick McFadin, VP, Developer Relations at DataStax. “It’s a huge shift for Cassandra as developers don’t have to worry about over-provisioning their capacity, which will have a direct impact on what they are going to pay for that capacity. Now in a pure serverless fashion, they can pay what they use.”

In this episode of TFiR Insights, we dug deeper into this announcement. Here are some of the topics we discussed:

  • What is serverless Astra?
  • Why did DataStax feel a need to offer this now?
  • How is it more about giving developers greater control over what they pay?
  • What are the direct benefits for developers?
  • The evolution of DataStax Astra over time?
  • Discussion on Apache Cassandra, the heart and soul of Astra.

Patrick McFadin is the VP of Developer Relations at DataStax, where he leads a team devoted to making users of Apache Cassandra successful. He has also worked as Chief Evangelist for Apache Cassandra and consultant for DataStax, where he helped build some of the largest and exciting deployments in production. Previous to DataStax, he was Chief Architect at Hobsons and an Oracle DBA/Developer for over 15 years.

Don't miss out great stories, subscribe to our newsletter.

Reblaze Launches ‘Curiefense’ Open Source Security Platform

Previous article

Linkerd 2.10 Extends Multi-Cluster Support To All TCP Connections

Next article
Login/Sign up