Building Enterprise Cache Based on CQRS - Komes Subramaniam, T-Mobile

December 9, 2017
Over the period enterprises have grown big in applications footprint to reach out customers in more channels and created lot of read heavy applications. Often read heavy application calls impact business transactions systems when we have a large volume of traffic on read. Operation team resolves this problem temporarily by increasing the memory, processors, and instances which very expensive solution. Also, Presentation / UI layer read data model is not always same as the model which used by off-the-shelf products or enterprise application or typical CRUD (Create Read Update Delete) systems. One of the efficient solutions is implementing CQRS pattern with presentation friendly data model. So, the system which we need to build requires heavy read support, closer UI/presentation model, and no to less impact on business transaction application / system of record and data reliability. Slides: https://www.slideshare.net/Pivotal/building-enterprise-cache-based-on-cqrs Komes Subramaniam, Principal Software Developer, T-Mobile Filmed at SpringOne Platform 2017
Previous
Immutability for PCF: Security in a Cloud Native World - Tom Gillis, Bracket Computing
Immutability for PCF: Security in a Cloud Native World - Tom Gillis, Bracket Computing

Bracket Computing has been working closely with the Cloud Foundry community to create new tools to harden a...

Next Video
Deconstructing Monoliths with Domain Driven Design - Rohit Sood, Liberty Mutual & Rohit Kelapure, David Turanski, Pivotal
Deconstructing Monoliths with Domain Driven Design - Rohit Sood, Liberty Mutual & Rohit Kelapure, David Turanski, Pivotal

This session will detail a synthesis of techniques used to destroy a monolithic BPM and orchestration based...

Subscribe to Pivotal videos on YouTube!

Subscribe