What sparkly facets are on the inside of Apache Geode? How does it work and why is it designed this way?
This session will break down the details of how Apache Geode stores data and maintains consistency. We’ll cover:
– data partitioning and low-latency data access
– redundancy, rebalancing, and member failures
Throughout the talk, we’ll focus on the design considerations behind the choices made by Apache Geode. If you’re interested in what goes into the design of a highly available, low-latency, distributed system, this talk is for you!
Learn more: https://pv.tl/2MVTNni
Speaker: Dan Smith, Principal Software Engineer, Pivotal
Filmed at SpringOne Platform 2019