Migrating from a monolithic system to a more modular, microservice-like structure often appears to be a better solution at first glance. It promises a more agile, scalable, and faster development process. However, it's crucial not to overlook the operational overhead and hidden costs that this transition brings. Drawing from my own experiences, I will share some of the challenges I faced during this migration and how I overcame them.
I observed that this transition is not just a code-based transformation but also has significant impacts on infrastructure, monitoring, deployment, and even team structure. By examining these impacts in depth, I aim to help you avoid potential pitfalls.
The Complexity Introduced by Distributed Systems
In a monolithic architecture, the entire codebase and business logic reside in a single place. This simplifies deployment, makes debugging easier, and allows for direct inter-service communication. However, when migrating to a modular structure, this simplicity gives way to the inevitable complexity of distributed systems. Each service becomes its own deployment unit, and communication between services now occurs over the network.
This situation introduces new challenges, particularly in network latency, service discovery, and distributed transaction management. For instance, what was once a direct function call now transforms into a network request. The probability of this request failing, its latency, or it going to the wrong address all increase.
