Scaling Data Services with Pivotal GemFire

November 27, 2017

Getting Started with In-Memory Data Grids

In-memory data grids (IMDG) such as Pivotal GemFire, which is powered by Apache Geode, are key to making today’s modern high-speed, data-intensive applications work. By keeping data in the RAM of a horizontally scalable cluster of servers, IMDG solutions enable apps to achieve consistently low latency for data access at any scale.

Many in the application development community, however, aren’t aware of IMDG’s benefits, use cases, or underlying technology. This report brings you up to speed by providing GemFire basics, including use cases and easily understood examples. You’ll determine whether GemFire can benefit your application, and learn how to install a simple test environment and build a small proof of concept.

  • Explore GemFire use cases for Java applications—including microservices, high-speed data ingest, and transaction and event processing 
  • Get an architectural overview of GemFire, and learn installation requirements for both hardware/VM and cloud
  • Dive into GemFire’s capabilities with continuous queries, server-side functions, and Apache Lucene integration
  • Learn how GemFire works with the persistence model, off-heap memory, and WAN replication 

About the Author

Mike Stolz leads the Product Management team for GemFire. This involves constant communication with users to learn what features are needed, prioritization of features, managing the product roadmap and tracking progress on development of the features.

Specialties: Twenty years experience in Financial Services, from developer to Chief Architect in several organizations. Mike has designed and built or overseen several trading, risk and operations systems across a wide array of Financial Services asset classes.

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