Java Microservices with Spring
Java | Microservices | Spring Boot | Spring Cloud | Spring Integration | Google Cloud
Let’s make software development in Java enjoyable again with Microservices and Spring
Like the dinosaur, monolith had had its time too. Altought object-oriented programming was supposed to promote the component-based reusability and agile methodologies was supposed to facilitate fast development, that rarely works in practice. What happens (more often than not) within large, long-lived monoliths due to changing existing code constantly to keep the business doing, it that the business logic creeps into every layer, encapsulation looses its purpose and complex dependencies are being format between classes. That leads to three severe consequences.
With only one code base, development need to be carefully coordinated otherwise teams will block each other. Myriad of methodologies are out there to mitigate the bottleneck of having to work with a one code base, but in reality it does happen often that a single developer breaks the build and it then it breaks for everyone else.
Increasing technical debt
Development always goes against the least resistance when a product needs to shipped on time in order to serve the business. What used to be well-designed and clean at the beginning, that becomes a mess quickly.
It doesn’t matter if only a single bug fix or an entire array of new features need to be shipped. That triggers a full deployment cycle. It either works or it has to be rolled back. But what about changes which cannot be rolled back than easily? Just think about database migrations.
Granted, the Microservices Architecture isn’t a silver bullet either and there are situations where going with a Monolith is better. Nevertheless, it’s worthwhile to weight the possible benefits against the possible challenges to solve.
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