Guide to migrate your application from a Monolithic to a Microservices architecture

A monolithic application can be defined in a variety of ways, such as a legacy program or an organically evolved codebase. It can also be defined as a lack of domain clarity and module boundaries in an application. Further, A monolithic application, is one that expanded over time, became unmanageable and incredibly difficult to understand, and had little cohesion and high coupling. A microservice architecture, on the other hand, paves the way for businesses to enable the rapid, frequent, and dependable delivery of a wide range of applications wherein the Software is composed of small independent services that communicate over well defined API's

As a result of benefits provided by Microservices based Architecture, various enterprises throughout the world are devoting resources to transition their monolithic apps to microservices.

However, transforming monolithic apps into microservices is a difficult undertaking. This is because a microservice design encourages the development of an application comprised of numerous independent services that encapsulate business functions.

Once converted to microservices, each service provides an API application that is discoverable and self-service. Given that converting a monolithic application to a microservice is a difficult task, let's look at some of the disadvantages of monolithic applications for businesses.

What is monolithic and microservices based architecture?

Monolithic apps are intended to manage a variety of connected tasks. They are usually complex applications with multiple tightly coupled functionality.

Consider the case of a monolithic ecommerce SaaS application. A web server, a load balancer, a catalogue service that serves up product images, an ordering system, a payment function, and a shipping component are all possible components.

Monolithic tools, as you may expect, contain massive code bases due to their enormous breadth. Making a minor modification to a single function may necessitate compiling and testing the entire platform, which contradicts the agile approach that today's engineers want.

In contrast to the monolithic approach, a microservices architecture involves smaller applications deployed independently as loosely coupled services, tied together through application integration. With microservice applications, the business logic may encompass multiple platforms, including software as a service, on-premises databases, and in-house-developed applications that meet needs that no SaaS application handles.

From a software engineering perspective, microservices can be simpler to develop. They’re smaller in scope and therefore smaller in size, which makes it easier for developers to improve them through continuous integration and continuous delivery (CI/CD). They can be written in any programming language. And they can communicate with other microservices through APIs.

An application programming interface (API) is a set of programming calls that expose the functionality of an application to developers. APIs make it simpler to develop integrated applications by offering an easy way to pass credentials and data between applications.

Monolithic v Microservices

Which architecture is better? The answer depends individually on each organizations requirements. Businesses should consider the following criteria:

  • Ease of implementation – You may imagine that because the software comes from a single vendor, monolithic systems would be easier to implement. This isn't always the case. Due to the complexity of monolithic systems, they may be as difficult to implement as several independent platforms. One advantage they may have is that monolithic systems are a one-stop shop for support — but only if the vendor has a strong reputation for support.

  • Lock-in of vendors — Monolithic systems typically seek to handle a wide range of related functions. A monolithic web hosting platform, for example, may comprise firewalls, load balancing, and a content distribution network in addition to a web server that processes HTTP requests on the server side.

  • Data control and ownership – Monolithic systems make it difficult for corporations to combine data from their systems. Typically, you can only use your data within the monolith. A monolithic analytics system that contains data integration, ETL data pipelines, a data warehouse, and analytics software, for example, may not include tools that allow businesses to access their own data in order to connect it with other systems or conduct analytics using different software.

Drawbacks of Monolithic Applications