Migrating to Microservice Databases

From Relational Monolith to Distributed Data

Migrating to Microservice Databases

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After years of researching, coding, and talking about microservices, Edson Yanaga—Red Hat’s Director of Developer Experience—hears one question frequently: how do I evolve my monolithic legacy database? In this practical report, Yanaga explains strategies for dealing with your relational database when migrating from a monolithic codebase to a microservices architecture. In the process, you’ll focus on one key microservices characteristic: decentralized data management.

For many enterprise application developers, microservices are good for splitting up unwieldy codebases into smaller, well-defined, cohesive, and loosely coupled artifacts—an architecture that can simplify and accelerate new software releases. You’ll learn successful strategies for integrating data between your existing monolithic application and your new microservice artifacts.

  • Learn how zero downtime migrations enable you to deploy new code without disrupting user activity
  • Evolve your relational database by keeping specific versions of application code and database schemas in the same code repository
  • Understand the distinction behind the CRUD pattern and CQRS—including the consistency models involved in distributed systems
  • Explore a set of nine strategies for integrating data from your monolithic application to a microservice architecture

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Edson Yanaga

Edson Yanaga

Edson Yanaga, Red Hat's Director of Developer Experience, is a Java Champion and a Microsoft MVP. He is also a published author and a frequent speaker at international conferences, discussing Java, Microservices, Cloud Computing, DevOps, and Software Craftsmanship.

Yanaga considers himself a software craftsman, and is convinced that we all can create a better world for people with better software. His life's purpose is to deliver and help developers worldwide to deliver better software faster and safely - and he can even call that a job!