25 September 2025
If you’ve ever been on a long phone call, streamed a live event, or yelled at your internet provider because your connection dropped, chances are… you interacted with Erlang in some way. Yeah, really. It’s the quiet genius working behind the scenes, ensuring networks don't collapse under the weight of millions of simultaneous users.
But why on earth is Erlang—an old-school programming language from the '80s—still running the show in modern telecom? Doesn’t it have tech grandkids by now? Shouldn’t it be retired somewhere, sipping piña coladas on a beach with COBOL?
Well, grab your coffee (or piña colada, no judgment), and let’s talk about why Erlang is still the absolute powerhouse for scalable telecom systems.
Erlang was designed to handle massive amounts of concurrent users (think millions of calls happening at once) while ensuring uptime and reliability. And here’s where it differs from your usual programming suspects.
Erlang's concurrency model is like having millions of tiny, independent bartenders (lightweight processes) that keep serving drinks (data packets) without stepping on each other’s toes. Each process runs independently, so if one goes rogue and spills a drink (crashes), the others keep doing their job.
This is why telecom companies swear by Erlang—it can juggle tons of tasks without slowing down.
Erlang was designed with fault tolerance in mind. If a process crashes, it doesn’t bring down the whole system. Instead, Erlang has a built-in "supervising hierarchy" that automatically restarts failing processes faster than you can say, “Can you hear me now?”
For telecom systems handling millions of active users, this is a game-changer. Nobody likes their phone dropping calls like a clumsy waiter drops plates.
Telecom systems need to handle unpredictable spikes—think of the mad rush of calls and messages on New Year’s Eve or when a major sports final is happening. While many systems struggle under pressure, Erlang effortlessly scales up without breaking a sweat.
This is why big-name telecom companies still rely on Erlang. It’s like having an elastic waistband—always ready to stretch when needed.
Erlang is a “soft real-time” system, meaning it processes tasks fast enough that you don’t even notice delays. Think of it as a barista who makes your coffee lightning-fast, but doesn’t rush so much that they spill all over the counter.
For telecom, where milliseconds can make or break a call’s quality, this is invaluable.
But Erlang? It allows live updates without shutting down the system.
Think of it like getting a software update on your phone without restarting. This is a huge deal for telecom providers who need to provide continuous service without downtime.
Imagine processing thousands of transactions simultaneously while keeping everything secure. Yep, Erlang does that too.
Age isn’t a disadvantage when it comes to maturity, reliability, and battle-tested performance. The fact that more modern languages struggle to replace Erlang in telecom speaks volumes.
Plus, Erlang isn’t living in the past. Elixir, a modern functional language that runs on the Erlang VM, is bringing fresh new developers into the ecosystem.
- Weird Syntax: If you’re used to Python or JavaScript, Erlang’s syntax might look a little… wonky. But once you get the hang of it, it’s not that bad.
- Niche Community: Compared to languages like Python, Erlang doesn’t have an army of developers, making hiring a bit tricky.
- Not for Everything: Erlang is perfect for telecom, messaging, and concurrent systems, but if you’re building a basic web app, you might be better off with something else.
It offers:
✅ Rock-solid reliability
✅ Insane concurrency handling
✅ Fault tolerance that keeps systems running smoothly
✅ Live code updates without downtime
Is Erlang going anywhere? Nope. It may not be as trendy as Python or JavaScript, but it continues to power the world’s most demanding telecom systems quietly and efficiently.
So next time you make a call and it doesn’t drop? You probably have Erlang to thank.
all images in this post were generated using AI tools
Category:
Coding LanguagesAuthor:
Vincent Hubbard