Strangler Fig Pattern: A Comprehensive Study in Microservices

Manav Tech
Published in
9 min readMay 20


Welcome to this comprehensive study on the Strangler Fig Pattern within the realm of microservices. In this blog post, we are going to embark on an exploration of this unique pattern, shedding light on its significance and its utility within the context of transitioning from a monolith to a microservices architecture.

Microservices architecture offers numerous benefits, including improved scalability, resilience, and flexibility. However, transitioning from a monolithic architecture to a microservices one can be challenging. One strategy that has emerged to facilitate this process is the Strangler Fig Pattern, an approach that allows for an incremental transition rather than a complete overhaul.

Photo by David Clode on Unsplash

The Monolith to Microservices Transition

In software development, especially in designing and developing large-scale applications, it is quite common, to begin with a monolithic architecture. A monolithic application is built as a single, autonomous unit. This unit encapsulates all the business functionalities and user interface considerations into a solitary executable or process.

This architectural style does offer its own set of advantages. For instance, a monolithic application is simple to develop, test, and deploy due to its single codebase. Moreover, the monolith pattern is fine when it comes to managing data consistency and inter-process communication since everything is centralized and handled within one process boundary.

However, the monolithic architecture also presents its fair share of challenges and limitations:

  • Rigidity: Modifying the technology stack is often tricky, as changes must be implemented throughout the application. This hampers technological innovation and evolution.
  • Scalability Issues: Since it’s a single unit, the monolith has to be scaled as a whole, even if only certain aspects or functionalities of the application are facing high demand or load. This can lead to inefficient resource usage.
  • Maintenance and Updates Risk: Because all functionalities are tightly coupled and interdependent, changes made to one area of the codebase can inadvertently affect others, introducing bugs and making updates a…



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