The Future of Monoliths:

The Future of Monoliths: Benefits and Best Practices for Building Effective Monolithic Applications

By Onesight Global 3 min read

The Future of Monoliths: Benefits and Best Practices for Building Effective Monolithic Applications

As software engineers, we've all been there - the initial excitement of building a new system from scratch, only to watch it grow into an unwieldy monstrosity. Despite their reputation as outdated relics of old-school software engineering, monoliths continue to thrive in many industries.

In this article, I'll argue that monoliths are not just acceptable but necessary for certain types of applications. I'll also provide guidance on how to build and maintain them effectively based on my own experiences building and running a successful enterprise software company.

Monolithic architecture refers to an application containing all its functionality in a single codebase rather than breaking it out into multiple services or microservices. This approach has been widely criticized for being inflexible, hard to maintain, and difficult to scale - but I'd argue that these criticisms are often misplaced.

One of the main benefits of monolithic architecture is its ability to provide a unified, coherent user experience. When everything is in one place, it's easier for developers to understand how different components interact and work together, making building new features faster and less prone to errors.

Moreover, because there are no seams or interfaces between services, monoliths can be much simpler than distributed systems when it comes to testing and debugging. This simplicity also means that they're often easier to secure since there's fewer moving parts for attackers to target.

Of course, these advantages only apply if the monolith is designed with maintainability in mind from the start. When building a new system as a monolith, keep things simple and focused by using established frameworks or libraries rather than trying to roll your own - especially when it comes to areas like authentication, authorization, and logging.

Another important consideration is code organization: how will you structure your project so that different components are easy to find and modify? Some popular approaches include feature-based organization where related features are grouped together, layer-based organization where infrastructure and business logic are separated, or even domain-driven design where the underlying domain model drives the architecture.

Once your monolith is up and running, it's crucial to keep things lean. One of the biggest mistakes developers make with monolithic applications is letting them balloon in size over time. As features get added, code quality can suffer - especially if testing isn't kept up-to-date or refactoring becomes neglected.

To avoid this trap, prioritize regular maintenance and optimization tasks alongside feature development. This might include things like removing unused code, simplifying complex algorithms, or even rewriting performance-critical sections in a lower-level language like C++ for high-performance applications.

Additionally, consider implementing some form of automated testing - whether it's unit tests, integration tests, or end-to-end UI tests. Not only will this help catch bugs before they reach production but also make it easier to refactor code without introducing regressions.

Now that we've discussed the benefits and best practices for building monolithic applications, what does this mean for the future of software engineering? In many ways, I believe we're seeing a shift back towards more integrated approaches where different components are tightly coupled but still maintainable. This might involve using established frameworks like Django or Ruby on Rails to build complex web applications rather than relying solely on microservices.

It also means embracing newer technologies like serverless computing where individual functions can be triggered and scaled independently alongside monolithic architecture. By combining the strengths of both approaches, developers can create more powerful systems that are easier to maintain and scale over time.

Ultimately, whether you choose a monolith or something else will depend on your specific needs - but I hope this guide has shown that there's still value in building integrated applications using traditional software engineering techniques.