What You Should Do When Your Legacy System Is Choking You!!

When Your Legacy System Is Choking You… Strangle It Back with the Strangler Pattern 🌳🔥
There comes a moment in every engineer’s life when you look at the system you’re working on and think,
“Why is this even still alive?”
That legacy monster that’s been running in production since the early 2000s — spaghetti code, zero tests, mystery logic, and deployment nights that feel more like launching a rocket than pushing code. 😩 And yet…
You can’t just rewrite it.
Budgets don’t allow it.
Stakeholders panic at the mention of “refactoring.”
And deep down, you know a full rewrite is basically a career suicide mission.
So what can you do?
Then Someone Said, “Strangle It.”
No, not literally.
They meant to use the Strangler Pattern — a term that sounded aggressive but weirdly therapeutic at the time.
Like… okay, maybe we can’t kill the legacy system,
but maybe we can choke it off bit by bit. Replace it slowly — one feature at a time — until one day, we wake up and the monster’s gone.
So… What Is the Strangler Pattern?
The term comes from the strangler fig tree — a plant that grows around another tree, wrapping it slowly until the original tree dies and disappears. But it doesn’t kill it in one go — it just… replaces it quietly.
In software, this means:
You put a façade (like a proxy or API gateway) in front of the legacy system.
Then you start pulling features out, rebuilding them in a modern stack, and redirecting traffic.
The old system stays up — untouched for the most part — but over time, it’s doing less and less.
Until it’s doing nothing.
A Real Example From Real-life Scenarios
In one of the projects I worked on, we had a legacy Java system that was:
Using raw SQL everywhere
Built with SOAP APIs (yes, no judgment) 😖
Hosted on a server, no one dared to reboot
We couldn’t afford a rewrite. So we strangled it.
We started with the email notifications module — it was isolated enough, but broken and annoying.
We built a new microservice in Node.js, connected it to modern tools (SendGrid, queues), and added a reverse proxy in front of the old system. If the request was about emails? → Go to the new service.
Everything else? → Stay on the old monster.
And just like that, the first piece of the legacy system was gone.
What Made It Work?
A Clear Routing Layer: We used NGINX(ingress in EKS) as our decision-maker — simple config switches.
Strong Observability: Logs and metrics for both systems. If something failed, we caught it early.
Start Small, but Painful: We didn’t go for the easiest feature. We picked the one most painful for the team. So replacing it felt like real progress.
Keep the Data Close: We synced data through events (primitive RabbitMQ setup), no fancy CDC tools — just enough to avoid data silos.
What We Learn Along the Way
Some people will resist it. They think it’s “double work.” But it’s not. It’s safe, incremental progress.
You’ll need discipline — two systems mean more complexity, temporarily. But trust me, it’s less painful than breaking the monolith all at once.
You’ll discover parts of the legacy system no one understood. You’ll be shocked how many features no one actually uses anymore. (We found a whole payments module no one had touched in years.)
In the end, tackling a legacy system with the Strangler Pattern is like embarking on a journey of transformation. It’s not about a quick fix, but about strategic, incremental progress that respects both the past and the future. By carefully replacing parts of the old system with modern solutions, you not only improve functionality but also breathe new life into your technology stack. Remember, it’s a marathon, not a sprint. With patience, discipline, and a clear vision, you can turn that legacy monster into a streamlined, efficient system that serves your needs today and tomorrow. So, take a deep breath, embrace the challenge, and start strangling that legacy system — one feature at a time.
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Written by

Yousif Aziz
Yousif Aziz
Mainly I've been working as a web developer for ten years, my experience in the back-end, front-end, and leadership. I also have a great experience with DevOps and Cloud Computing (AWS and Linux servers).