Software, data, and databases: the part that really matters

Most teams that reach out to us start in almost the same place: the system works, but something somewhere is bothering them. Sometimes it's a database going down in the middle of the night, sometimes a backup no one has tried to restore in three years, and sometimes a project that stretches to six months after someone said "we'll ship this in two weeks." This is exactly where we step in.

Software development

We do build products from scratch, but let's be honest: most of the work sits on top of an already running system. So the first thing we do is not to wipe the code and rewrite it, but to understand why it was written the way it was. Most "bad code" is actually the residue of a decision that once made sense and was later forgotten.

On the web and mobile side we write readable, testable code; we keep service-to-service communication simple, and we don't consider anything "done" if it isn't documented. The goal is for the developer who comes after you to breathe easy six months down the line as well.

Data backup

The annoying truth about backups is this: people usually start taking the topic seriously only after they've lost data. We've taken that call one too many times. The setup we build is simple but disciplined — multiple copies of the data, at least one kept in a different location, and all of it kept encrypted.

That's why we don't leave the disaster recovery plan on paper; we actually test it at regular intervals. When a server goes down, the question to ask should not be "do we have a backup" but "how fast can we get back up."

The most critical part isn't taking the backup, it's being sure you can come back from it. If you don't run regular restore drills, you'll learn this at a moment you really wish you hadn't.

Technical consulting

Not every team needs a full-time senior architect; but they do need the right second opinion at the right moment. We get called before a big migration, when performance suddenly hits the floor, or when the question "how much will this architecture hurt us two years from now" lands on the table.

Instead of producing slides, we get our hands into the code and the metrics. Sometimes the solution isn't a new system but using the existing one correctly — and we're not afraid to say so.

SQL and NoSQL databases

There is no single right answer to "SQL or NoSQL"; the right answer depends on your workload. Where consistency and relationships are critical, a relational database like PostgreSQL makes sense; where flexible schemas and high write volume stand out, a NoSQL solution like MongoDB does. In practice, most healthy systems use both together.

The real work is in the under-advertised part: proper indexing, reading query plans, replication, and an architecture that stays up under load. What keeps production alive at three in the morning is usually these "boring" details.