This content originally appeared on HackerNoon and was authored by Enver Yurtsever
Over my 15+ years in software development, some of the most complex and challenging environments I worked in were government IT systems. In these systems, a failure wasn’t just a bug — it could mean a child couldn’t enroll in school, a legal document couldn’t be issued, or a pension couldn’t be processed.
I worked on national-scale platforms built with classic ASP.NET, running on aging Windows Server environments, integrated with legacy databases, surrounded by bureaucracy, tight deadlines, and rigid policies. But I learned lessons in these environments that no startup or cloud-native team could have taught me.
Here’s what building public systems taught me about real-world software engineering.
Integrating with National ID Systems — Not APIs
One of my earliest government projects involved integrating our system with the national ID database. I expected a proper documented API. Instead, I received a raw socket connection and an Excel file describing the byte structure of the data stream.
It wasn’t REST. It wasn’t even SOAP. It was “send these bytes, wait 1.2 seconds, and parse the binary response.” And this wasn’t an exception — this was the norm in many public IT systems.
I had to build robust adapters that could survive malformed responses, unexpected encoding issues, and undocumented structural changes. Through this, I gained a deep respect for backward compatibility and defensive programming.
Today’s developers complain about undocumented APIs. I say: try parsing binary strings from a national database last updated in 2006.
Performance Matters When 10,000 Users Log In at 8:00 AM
Government platforms have unique usage patterns — often quiet at night, then flooded with users at very specific times. For example, when a school registration portal opened at 8:00 AM, tens of thousands of parents would log in at once.
One such system would crawl every morning under load. It passed QA. It passed staging. But it couldn’t handle 30,000 concurrent sessions in production.
The solution wasn’t “scale it in the cloud” — we didn’t have the cloud. It required deep profiling, aggressive caching, disabling ViewState in WebForms, optimizing SQL queries, and even preloading data into memory through nightly jobs.
This kind of performance engineering — on tight budgets and fixed infrastructure — taught me more than any microservice ever could.
Making ASP.NET WebForms Feel Modern
By 2015, I was still maintaining systems built with ASP.NET WebForms — a framework from the early 2000s. Clients wanted a “modern user experience.”
Rather than rebuilding everything from scratch, I gradually modernized the frontend:
- Introduced AJAX for partial page refreshes
- Replaced GridView with jQuery DataTables
- Separated UI logic from server-side code using WebMethods
- Applied Bootstrap styling to escape the default “gray box” design
It wasn’t perfect, but it worked. The app felt faster, cleaner, more intuitive. Clients thought we rebuilt the whole thing — we hadn’t. We just evolved it.
That taught me one of the most underrated lessons in UX: \n Perception is performance. Small changes can breathe new life into old software.
Conclusion
Working in public-sector IT showed me that software engineering isn’t always about the newest tools — it’s about solving hard problems under rigid constraints.
I didn’t learn scalability from Kubernetes — I learned it from stress-testing IIS 6. \n I didn’t learn integration from Swagger — I learned it by decoding undocumented byte streams. \n I didn’t learn UX from React — I learned it by watching real users get stuck in legacy dropdowns.
There is wisdom in old systems, and government software made me a more resilient, pragmatic engineer.
If you’re a developer enjoying the luxury of today’s tools, be grateful. Somewhere out there, someone is still debugging a WebForms page that runs the heart of a city.
This content originally appeared on HackerNoon and was authored by Enver Yurtsever