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In-Memory Data Caching for Microservices Architectures

February 23, 2017

Microservices represent a generational shift in how applications are built. For this new approach to succeed, it must co-exist with previous generations of investments.

With its reliable event notification features and scalable in-memory performance, Pivotal’s GemFire flexibility can accommodate a range of design options that specifically solve data challenges that can emerge with a microservices architecture. Its integrations with Spring, the de facto framework for microservices, make it ideal for developers.

This free white paper covers key areas of consideration for data layer decisions in microservices architecture. Read about:

  • Adding Instances of Microservices for Performance and Scalability
  • Event-Based Microservices Architectures
  • Designing for High Availability
  • Legacy Systems are Part of Your Cloud-Native Evolution
  • Pivotal GemFire for Microservices

About the Author

Jagdish Mirani (@JagMirani) is an enterprise software executive with extensive experience in Product Management and Product Marketing. Currently he is the Principal Product Marketing Manager for Pivotal’s in-memory data grid product called GemFire. Prior to Pivotal, Jagdish spent 10 years at Oracle in their Data Warehousing and Business Intelligence groups. More recently, Jag was at AgilOne, a startup in the predictive marketing cloud space. Prior to AgilOne, Jag was at Business Objects (now part of SAP), Actuate (now part of OpenText), and NetSuite (now part of Oracle). Jag holds a B.S. in Electrical Engineering and Computer Science from Santa Clara University and an MBA from the U.C. Berkeley Haas School of Business.

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