Go vs Python / Speed and Stability
We Ditched Python for Go and Now We Can Hear the Code Screaming “Thank You”
Let’s be honest. Our backend of AquilaX AI was written in Python3 because, well, we were young, hopeful, and in love — with indentation. But like every ill-fated romance, it started showing cracks. Unstable connections, snail-paced performance, and a tendency to chew through memory like it was an all-you-can-eat buffet.
Then we found Go.
From “Hold My Coffee” to “Where’s My Compiler?”
The switch to Go wasn’t just an upgrade — it was a revelation. Python was like that artsy friend who draws beautiful diagrams of solutions. Go? Go is the grumpy engineer who builds the bridge before lunch and tells you to stop overthinking it.
In Python, we were basically running a therapy center for dropped connections. In Go, we achieved 99% connection stability. That remaining 1%? Probably someone unplugged the router.
Go: 3x Faster. Python: Still Waiting for That Async Task to Finish
Yes, it’s true. Go was three times faster. Python tried. It really did. But between async, await, and whatever ritual you have to perform to make uvloop work, it just couldn’t keep up.
In Go, we got concurrency that actually works. Not “sort of works unless you forget an await and your whole app freezes like Elsa.” Real, hardcore goroutines that don’t judge you for opening 100,000 connections.
Memory Usage: From Python Dumpster Fire to Go Zen Garden
Python memory management is basically “YOLO with GC.” We were tracking leaks like conspiracy theorists track crop circles. Go? Go’s garbage collector actually does its job without needing a meditation retreat.
Now our memory profile is so clean we considered framing it and hanging it in the office. We won’t, of course. We’re Go developers now — we have pragmatism.
Debugging: Less “Zen of Python”, More “Where’s the Segfault?”
Yes, Go is statically typed. Yes, the compiler yells at you. But now we know when our code is broken before it breaks in production. Revolutionary, right?
Python: “Hey, this code might fail in 37 weird edge cases.”
Go: “This won’t compile. Fix it before I do something drastic.”
Deployment? One Binary to Rule Them All
Go gives us one fat, glorious binary. No more Docker images bloated with 93 layers of Python dependencies. No more arguing about whether to use pipenv, poetry, or just scream into the void.
With Go, we SCP’d the binary like it was 1999 — and it just worked. That kind of confidence used to be reserved for astronauts and retired hackers.
Conclusion: Sorry Python, It’s Not You. It’s Your Runtime.
We still love Python — for scripts, data science, and gentle introductions to programming. But for high-performance, connection-stable, production-grade services? Go is our spirit animal now. It doesn’t apologize. It doesn’t care about your feelings. It just runs. Fast. And forever.
So here we are. AquilaX Migrated, enlightened, and three times faster. Python can stay in our past, along with MySpace and jQuery.
