Camus and Cloud Cache (Ep. 26)

April 18, 2017 Jeff Kelly

Data caching isn't a new concept, but it does become trickier in microservices architectures. Microservices allow developers to quickly build and iterate applications, which puts pressure on the data layer to keep up. Pivotal Cloud Cache - a distributed, highly available, high speed key/value caching service - is designed to bridge the gap. "It's not only about performance anymore," says Jag Mirani, who oversees marketing for Pivotal's in-memory products, referring to data caching. "It's about bridging these two different worlds" - modern applications and data - "that are operating on a different cadence and a different mindset." In this episode of Pivotal Insights, Jag joins hosts Jeff and Dormain to talk about the role of caching in microservices architectures. They also get a little philosophical while they're at it, and Jeff finally learns how to correctly pronounce Dormain's last name. 

Show Notes

News & Resources

 

About the Author

Jeff Kelly

Jeff Kelly is a Director of Partner Marketing at Pivotal Software. Prior to joining Pivotal, Jeff was the lead industry analyst covering Big Data analytics at Wikibon. Before that, Jeff covered enterprise software as a reporter and editor at TechTarget. He received his B.A. in American studies from Providence College and his M.A. in journalism from Northeastern University.

Follow on Google Plus Follow on Twitter Follow on Linkedin More Content by Jeff Kelly
Previous
Dieu Cao on PMCing in Cloud Foundry, Isolation Segments, & QA (Ep. 59)
Dieu Cao on PMCing in Cloud Foundry, Isolation Segments, & QA (Ep. 59)

Richard and Coté talk with Dieu Cao, the Elastic Runtime PMC, working on the open source Cloud Foundry proj...

Next
The Google SRE Book With Andrew Shafer (Ep. 58)
The Google SRE Book With Andrew Shafer (Ep. 58)

Andrew Shafer and Coté discuss a general overview of the Google SRE book, highlighting some of the more int...

Subscribe to That Moment

Listen Now