Strategies for decentralized data management in microservices architectures
A big part of microservices architecture is decomposing monolithic applications with tightly coupled data models, but moving to decentralized data management is one of the most challenging aspects of a microservices architecture. JP Morgenthal shares strategies for your redesign efforts, the possible pitfalls, and the trade-offs these approaches force architects and engineers to make.
| Talk Title | Strategies for decentralized data management in microservices architectures |
| Speakers | JP Morgenthal (DXC) |
| Conference | O’Reilly Software Architecture Conference |
| Conf Tag | Engineering the Future of Software |
| Location | New York, New York |
| Date | February 26-28, 2018 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
A big part of microservices architecture is decomposing monolithic applications with tightly coupled data models in order to decrease costs, speed time to implementation, and increase the overall quality of systems by driving singular focus on doing one thing well. Moving to decentralized data management is one of the most challenging aspects of a microservices architecture and often requires an understanding of full stack engineering. JP Morgenthal shares strategies for your redesign efforts, the possible pitfalls, and the trade-offs these approaches force architects and engineers to make. JP also discusses the growing collection of tools and products to help engineers implement various data decentralization schemes and shows how they fit in a decentralized data management solution.
