Modules vs Microservices

The overview of module and microservice

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Most microservices are based on a business capability and only perform well in a subset of functions. They can be expanded independently, scale individually, and work on separated processes. Modules are parts of a program, and each module can be served for separate business operations. In the Fintech industry, developers and programmers like to use module-based architecture because it allows them to approach only one software application segment.

Modules vs Microservices

The pros and cons of using Modules

IT teams in Fintech companies can get rid of the module mess if they can create a well-structured monolith. They can also use resources from a supportive contribution of development tooling and programming language. In Fintech firms, multiple teams can work well together in separate projects when the modules get together in the same deployment unit.

modules vs microservices pros and cons

Module boundaries can be easily changed while restructuring microservice boundaries require lots of interpersonal communication to not mess things up at run-time. 

When the modular model has more complex functions, it will be a tiring job to track out which parts cause problems. Historically, the success percentage of getting the limitation right for the first time is rare in the Fintech industry. In case you want a more simple solution, install the following code snippet in a Unit-Test. If the cycles fail to appear in structure, perhaps it’s time to discuss with your development team to reconsider a different structure. 

The pros and cons of using Microservice

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Microservice fits the best where there are more than five engineers in companies that require scalability and resilience. A microservice can execute and reveal well-defined interface performances (REST API) for other services. You can change its details with no impact or coordination. Fintech companies in the industry can take advantages of many tangible benefits, such as:

  • Your team can work and proceed with independent scalability.
  • Get rid of complexity because of its small, focused base.
  • Easily change some of the worst-performing services without team-wide impact.

Finding and changing errors in a monolithic system is much simpler than doing it in a distributed system. A factor affecting stability and system performances is network communication. When you work with a modular monolithic architecture, it’s easier to see and find an error after making some interface changes. 

(See: Emerging Trends in Data Managing)

How to know what is right for my business?

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Both can make your work easier and create challenges at the same time. Consider adopting a microservice architecture platform if your firm reaches the size of global corporations like Amazon, Google, Facebook, because you will need many resources to build up your media, toolkits. Independently expanded different system parts are easy compared to the use of modular platforms. Another feature of a module vs a microservice is packages. Modules are packaged in a programming construction to be reinstalled by another software while a microservice allows the system to be used by other software running concurrently.

The best strategy depends on the organisation, environment and the application itself. And starting things out with modular applications is recommended by experts in the Fintech industry. If you are not worried about the complexity and learning curve, then take up a microservice solution.

David Dinh

Real Estate Investor, OSDORO
Bachelor of Applied Finance and Bachelor of Laws, Sydney, Australia. 
David has been in real estate business since 2002 and has a passion for South East Asian cross border cooperation.

As an entrepreneur, David has won multiple tech industry awards, including 2019 for Best AI Startup GITEX awards, 2019 Best AI Technology Accathon Capital USA and recipient of the Wharton Innovation Fund Grant. His last startup, Woveon, was a New York VC backed AI enterprise business intelligence company that worked on customer data stitching and analytics of billions of conversations.

David is also the recipient of state and national Australia technology prizes including the PWC Innovation Award and Intel Enterprise Technology awards.

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