Technologies

We do not use technologies because they are fashionable, but based on operational reality, service life, integration needs, and what the team can sustainably support. What matters is not the buzzword, but whether the system can later be operated cleanly, extended, and handed over.

When which direction makes sense

Delphi modernization in practice

If an old Delphi application is still valuable in terms of functionality, we do not modernize blindly. We first analyze how the system actually works, which processes it supports, where data flows break, and which legacy baggage is slowing down operations. The result is a modernization path that not only looks clean on paper, but remains viable in day-to-day work.

In many long-established applications, the real value is not in the user interface, but in years of domain logic, special rules, exceptions, and experiential knowledge. You do not discard that substance lightly. We separate responsibilities cleanly, restructure the database, replace legacy access paths, create new REST interfaces, and, where needed, add clients for Windows, macOS and Linux on the same domain foundation. This does not create a hard break, but a traceable evolution with a clear technical scope.

Often this also means bringing historically grown monoliths back into a shape that becomes maintainable, testable, and extensible. Data access is stabilized, business logic is detached from UI code, interfaces become plannable, and future extensions no longer have to be fought against the existing system. The goal is not cosmetic modernization, but a system that gives the company room to breathe again for new requirements.

Services and servers as part of the same architecture

Many enterprise systems today need not only a client, but also background services, Windows or Linux services and REST servers. This is exactly why we do not plan these parts as an after-the-fact add-on, but as part of the same architecture. A service that is only somehow added later almost always becomes a special case.

If data is to be processed in a distributed way, interfaces provided, exports run, imports monitored, or tasks executed in the background on a schedule, technical responsibility must be clarified from the outset. Which parts run in the client, which in the service, which on the server; how do errors become visible; how are state changes traceable; how does domain logic remain consistent? We answer these questions early so that individual building blocks become a resilient overall system.

This is particularly critical in multi-platform projects. A desktop client on Windows, macOS or Linux must not mean something different in terms of domain behavior than an accompanying REST server or a background service. That is why we always think about the data model, processes, permissions, integrations, and operations together. The result is an architecture in which clients, services, and servers speak the same language.

Our principle

For us, technology is not a belief system. What matters is that architecture, team capability, operations, and future extensions fit the company. The loudest platform does not win, but the one with which risk, maintainability, and growth can be managed sensibly.

Some tasks we deliberately solve with Delphi, because that is where established business logic, high-performance clients, and multi-platform capability play to their strengths. Other requirements are better suited to C#, to services, to a portal, or to a combination of both. Good architecture does not come from fashion, but from clarity: which responsibility belongs to which system component, what service life is to be expected, how large the team is, how critical operations are, and which extensions will realistically come in the next few years.

This is exactly where professional software development begins for us. We do not just want to deliver something that works today, but to create a technical foundation that remains traceable, transferable, and economically maintainable later on.

Frequently asked questions about technology and architecture

Technology decisions must fit the team, the domain, and operations. That is exactly why we do not clarify these questions in the abstract, but always on the concrete system.