Building Spring Cloud Microservices That Strangle Legacy Systems

Tuesday, August 30, 2016

It’s safe to say that any company who was writing software ten years ago—and is building microservices today—will need to integrate with legacy systems. In this article, we will explore building cloud-native microservices that still need to integrate with legacy systems. We’ll use practices from Martin Fowler’s Strangler Application to slowly strangle domain data away from a legacy system using microservices.

When building microservices, the general approach is to take existing monoliths and to decompose their components into new microservices. The most critical concerns in this method have much less to do with the application code and more to do with handling data. This article will focus on various methods of strangling a monolith’s ownership of domain data by transitioning the system of record over time.

Throughout this article, we’ll use a reference application built with Spring Boot and Spring Cloud. The example demonstrates techniques for integrating a cloud-native microservice architecture with legacy applications in an existing SOA.

Going Cloud Native

Many companies want to start taking advantage of the public cloud without having to migrate every line of business application at the same time. The reasons for this are numerous. The existing line of business applications can be thought of as the vital organs of a living organism. During the migration, think about the complex relationships between the existing components deployed to your infrastructure. Think about the dependencies of your applications and the connections between them. Think about every application that relies on a database or network file system. These are among the many considerations that will cause a migration to become an expensive and time-consuming project.

Hybrid cloud data center integration

The unfathomable complexity of migrating applications to the cloud can delay a decision from being made until the business deems necessary, which is usually triggered by a major event that results in a loss of revenue. This ticking time bomb will result in a lift-and-shift migration of applications. The problem with the lift and shift approach is that any technical debt that you had on-premises finds new life in the cloud environment. The problem being, the architectural and infrastructure issues that triggered the cloud migration still may not be fixed.

The approach I discuss in this article focuses on addressing the underlying symptoms of legacy systems that decrease system resiliency and lead to costly failures.