Last month, while reviewing the existing infrastructure of a client project, I noticed that a simple API endpoint was backed by three different microservices, an event bus, and two separate databases. This level of complexity could not be explained by business requirements or expected load; rather, it seemed to be a result of the team designing the project trying to follow the “latest trends.” In my career, I have experienced many times how such unnecessary complexity has sunk projects and exhausted teams.
Unfortunately, complexity is sometimes seen as a status symbol in the tech world. A more complex architecture can be touted as more sophisticated solutions, or “smarter” engineering. However, this often means higher costs, longer development times, and more operational problems.
Why Is Complexity Sometimes Attractive?
The allure of complexity often stems from multiple factors. Sometimes engineers try to integrate new and flashy technologies into projects just to experiment; other times, a solution is not preferred because its simplicity doesn’t seem “clever enough.”
In my early career, I also fell into this trap. When faced with a problem, I would always try to find the most sophisticated, most “elegant” solution. Sometimes, even if a simple existing solution worked, I would unnecessarily gravitate towards complex alternatives because I thought it “could be better.” This situation can also be triggered, especially among young engineers, by the desire to prove themselves and demonstrate “advanced” knowledge.
Why Is Simplicity More Powerful?
Simplicity is one of the most powerful principles in technology because it is directly related to reliability, maintainability, and cost-effectiveness. Fewer moving parts mean less potential for errors and easier debugging.
While working on a production ERP, we redesigned a workflow that we had handled with a simple PostgreSQL trigger, later at a client’s request, using Kafka and microservices. The result, contrary to expectations, was a system constantly struggling with “event loss” and “out-of-order message” issues. The old, simple trigger-based structure processed millions of transactions flawlessly, while the new complex architecture triggered an operational alarm every week. This situation clearly showed us how simplicity provides an advantage not only at the beginning but also in the long run.
How Is It Possible to Maintain Simplicity in the Real World?
Maintaining simplicity requires conscious effort and continuous discipline. With every new requirement or problem, instead of jumping to the “latest technology” solution that first comes to mind, asking the question, “How can we do this in the simplest way?” is critically important.
In a client project, an audit report needed to be generated. The team proposed training an R-series machine learning model and storing the data in a GraphDB to dynamically generate the report. I, however, suggested taking a simple SQL query and Python CSV export from the existing PostgreSQL database, and then filtering it in a web interface. Although I initially received criticism for not being “modern enough,” this simple solution was deployed in 2 days and worked flawlessly for the next 3 years. The other solution took 6 months and still hasn’t reached “production maturity.” Sometimes technological hunger overshadows the work itself.
What Is the True Cost of Complexity?
Unnecessary complexity not only increases development costs but also raises the operational burden and mental stress on the team. The more complex a system, the harder it is to understand, debug, and maintain.
Last month, we experienced a simple cache invalidation issue in a client’s distributed system. Finding the root cause took me a full 48 hours, sifting through logs from three different services, two different cache layers, and a message queue. If the same functionality were managed in a simpler monolithic structure with a single Redis instance, this problem could probably have been resolved within 1-2 hours. Such incidents show that unnecessary complexity leads not only to loss of time but also money and reputation. The hiring and onboarding processes for team members also increase exponentially in complex systems.
graph TD; A["Unnecessary Complexity"] --> B["Increased Development Time"]; A --> C["High Operational Load"]; A --> D["Increased Debugging Time"]; A --> E["High Operating Costs"]; A --> F["Low Team Morale"]; B --> E; C --> E; D --> E; F --> G["Risk of Project Failure"];
Conclusion: Simplicity Is a Virtue
With twenty years of experience, I can clearly say this: Complexity is not a status symbol; it is often a sign of insufficient understanding or unnecessary enthusiasm. True mastery lies in transforming seemingly complex problems into simple, elegant, and sustainable solutions. The success of an architecture is measured not by how many layers it has, but by how easily understandable, manageable, and flexible it is.
So, what do you think? Was there a time in your career when you paid the price for unnecessary complexity or made a big difference with a simple solution? I’d love to hear your experiences.