clic para entrar
← back to blog
Software

Python 2 reaches its end: technical debt comes due

Python 2 reaches its end: technical debt comes due

In 2019, something the technical community had seen coming for a long time was confirmed: Python 2, one of the most widely used versions of the language for nearly two decades, would stop receiving official support. No more fixes, no more security patches, no more maintenance. For many teams it was an uncomfortable wake-up call, because it meant everything built on that foundation had an expiration date.

The interesting point here isn’t the language itself, but what it represents. Behind every system that “still works” there are decisions that got put off: a version that wasn’t updated, a dependency that grew old, a patch that never arrived. That’s called technical debt, and like any debt, sooner or later it comes due. The end of Python 2 was a public reminder that standing still also has a cost, even if you don’t see it at the time.

What technical debt is and why it matters to your business

Technical debt is the gap between how a system is built today and how it should be built to remain secure, fast, and easy to maintain. It’s not always a mistake: sometimes you choose a quick solution to ship on time, and that decision is valid. The problem appears when that temporary solution becomes permanent and no one touches it again.

For a small or midsize business, this translates into very concrete risks:

  • Exposed security. A system without support stops receiving patches, and known vulnerabilities stay open.
  • Costs that grow silently. Each month that passes, updating costs more because changes pile up and knowledge of who built it is lost.
  • Fewer people who understand it. Discontinued technologies attract fewer specialists, and finding someone to maintain them becomes expensive and slow.
  • Brakes on growth. Integrating a new tool, an online payment, or an automatic report gets complicated when the foundation is old.

Updating on time is almost never urgent, but postponing it always ends up being so.

Illustration of a software system with old parts being replaced by new versions
Modernizing on time keeps an old part from bringing the whole system to a halt.

Why updating on time costs less

When a migration is planned ahead of time, it’s done in pieces, without rushing and without stopping operations. You test, you fix, and you move forward calmly. On the other hand, when the update becomes unavoidable—because a vendor stops providing support or because something breaks—the change happens under pressure, with more risk and with the business on pause.

The difference is the same as between maintaining a vehicle and waiting for it to break down on the highway. The cost isn’t just higher: it arrives at the worst moment. Modernizing with time to spare lets you keep your data, your processes, and your history while the foundation is renewed, instead of having to rebuild everything at once.

How to spot technical debt without being an expert

You don’t need to read code to notice the signs. If any of these phrases sounds familiar, it’s worth taking a look:

  • “Better not touch that system, it might break.”
  • “Only one person knows how that works.”
  • “It still runs on an old computer we can’t turn off.”
  • “We can’t add anything new to it anymore.”
  • “The original vendor no longer exists or no longer provides support.”

Any of those is a warning that there’s debt waiting. It doesn’t mean you have to change everything tomorrow, but it does mean it’s worth putting on the table before it decides for you.

How to pay off the debt without stopping your operation

Modernizing doesn’t mean throwing everything out and starting from scratch. It’s about moving forward in an orderly way, with clear information about what you have and what’s most at risk:

  • Take inventory. Note which systems you use, what technology sustains them, and which ones still receive support. With that, you already have a map.
  • Prioritize by risk. Start with what handles sensitive data, money, or customers; that’s what hurts most if it fails.
  • Start with something small. Pick a module or a process, update it, and check the results before continuing. It’s cheaper and easier to control.
  • Protect continuity. Make sure to keep your data, processes, and history at every step; modernization shouldn’t cost you what you already have.
  • Document. Put in writing how the new part works, so you don’t depend on a single person.

The end of Python 2 was a public case, but the lesson applies to any business with technology behind it: technical debt doesn’t disappear on its own, it only gets more expensive. That’s why at Normandia Web we build custom software that grows with you and updates without surprises. If you have a system you’d “rather not touch,” that’s exactly the one worth reviewing today: let’s talk and see how to take the first step.

Ready to put it to work in your company?

Tell us what’s costing you time, money or control. We’ll help you figure out where to start.

Start your consultation →