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.
JP Morgenthal is CTO of application services at DXC. An internationally renowned thought leader in the areas of IT transformation, modernization, and cloud computing, JP has served in executive roles within major software companies and technology startups. His areas of expertise include strategy, architecture, application development, infrastructure and operations, cloud computing, DevOps, microservices, the IoT, and integration, and he routinely advises C-level executives on the best ways to use technology to derive business value. JP is a published author. His most recent book is Cloud Computing: Assessing the Risks.
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