Refactivate A Monolith To Micro-services

The presentation explains how to implement new functionality as services, and you will also learn how to gradually break a monolith, one service at a time. One of the principles of a microservice architecture is a microservice database. So when you modernize your monolithic application in microservices, you need to distribute the monolithic database. After identifying the ideal service candidate and his team begins to build it using a modern microservice architecture, they need to identify a way to juxtapose the microservice and monolithic components. One of the ways to approach this coexistence is to introduce a communication adapter between processes that can act as an adhesive. Slowly and constantly, the micro-service takes on the load and removes the monolithic component.

However, as these applications grow, the disadvantages of monolithic architecture will be exposed. For example, an overwhelmingly complex and incomprehensible code based on monolithic architecture can delay error correction; The enormous size of the monolith can slow development and hinder continuous implementation due to a longer start-up time . Monolithic applications should be performed as flexible and poorly linked compositions of specialized services, which recently emerged as the microservice architecture style . Static data, such as country codes, i18n and supported coins, change very slowly and a user interface is generally not available to manage.

The technique comes from domain-driven design, which offers an alternative way to abort an application. As with business-based dissolution, this strategy has a domain-oriented approach. The resulting architecture will likely be the same even though DDD uses different terminology and has different motivations.

In a monolithic application these would be grouped, creating coupling, but with a microservice architecture we separated them for independence. Motivation, scale and speed of equipment strategies for decomposing monoliths The horizontal scale of components is the scale of the organization itself. Even most experienced developers find it very difficult to be productive on the Monolith system.

When applying these decomposition rules, developers must comply with the design logic of monolithic applications, especially those related to application functions. By analyzing functional modules, functions and monolithic application entities, our approach can guide a more convenient Spring Cloud-based reconstruction. Since Spring Cloud is a microservice framework for the Java platform, these analyzes can also improve the reuse of software for Java applications. The implementation of these decomposition rules at this stage is mainly based on artificial analysis. There are several strategies to gradually develop an existing monolithic application into a microservice architecture. Developers must implement new functionality as a standalone service and write glue code to integrate the service with the monolith.

In this case study, a monolithic application load tracking system was split by our job table approach. The load tracking system is a typical case to illustrate the domain-driven and open source design on GitHub3. Cargo Tracking System is a Java application that enables the refactor in Spring Cloud.

Known as a choking pattern, this process provides a balance between transformation and change management. A microservice architecture adds operations highly because there are more services to monitor and warn. The microservice architecture also has more failure points due to increased service-to-service communication points. A monolithic application can be implemented in a small application server cluster. A micro-service based application can have dozens of separate services to build, test, deploy and run, possibly in multiple languages and environments. Producing a microservice application requires a high-quality monitoring and operational infrastructure.

This type of data is accessible through various functionalities or modules of a monolithic application through the use of connections with their own entities. While migrating to a microservice architecture, you should also handle this static data. Static data that is domain-specific will of course go to the database of that service.