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My journey with Kubernetes started with curiosity — understanding how modern systems scale and operate reliably in production environments.
In 2022, after a period of focused learning and hands-on practice, I successfully earned the Certified Kubernetes Administrator (CKA) certification. This milestone validated not only my theoretical understanding, but also my ability to work with Kubernetes in real-world scenarios.
Since then, Kubernetes has become one of my strongest technical skills, and I’ve continuously applied it across different projects and environments.
In my work, I’ve been involved in:
- Deploying and managing containerized applications in Kubernetes clusters
- Troubleshooting deployment issues related to configuration, networking, and scaling
- Optimizing resource usage to improve system performance and stability
- Working with YAML configurations, services, and ingress to ensure smooth communication between components
- Supporting CI/CD workflows that integrate with Kubernetes for automated deployments
Through these experiences, I’ve developed a practical mindset: not just making systems run, but making them stable, scalable, and maintainable in production.
Kubernetes is not just a tool in my stack — it’s a core part of how I design and operate modern infrastructure.
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🚀 Upgrading Node.js in Production: A Real Case Study from a Microservices System 🚀
Node.js 20 is reaching its end of maintenance in April 2026.
If your system is still running on it, this is not just a “nice-to-have upgrade” anymore — it’s something you must plan carefully to avoid unexpected risks.
Recently, I was responsible for leading a Node.js upgrade across a large-scale production system — and I want to share how I approached it.
🚧 The Context
The project belongs to a large insurance group in Europe.
We’re running hundreds of microservices, and nearly 20 frontend applications are built with Node.js 20.
The good part?
We already have a solid CI/CD pipeline — fully automated from build → test → deploy.
The challenge?
Even with strong automation, upgrading runtime across distributed systems is never trivial.
🧠 Step 1 — Choosing the Right Target Version
One common mistake I’ve seen:
“Just upgrade to the latest version.”
That’s risky.
At the time:
Node 26 → not GA yet ❌
Node 25 → very short support window ❌
Node 24 → stable and long-term support ✅
So we aligned on Node 24 as the target.
Then comes the next critical question:
Which services are impacted?
Which teams need to be involved?
👉 This step is more about communication and alignment than technical work.
⚙️ Step 2 — Controlled Rollout via CI/CD
Instead of upgrading everything at once, I focused on controlled exposure.
Tested locally using nvm to validate compatibility
Updated CI/CD pipelines to:
Run Node 24 only for specific apps
Apply changes per environment (dev/staging first)
This approach helped:
Reduce cross-environment impact
Isolate issues early
Keep the system stable during transition
🤝 Step 3 — Communication is Everything
At higher environments, technical work becomes teamwork.
Before rollout:
Announced upgrade timeline clearly
Defined who owns testing for each service
Prepared support channels for quick issue handling
During rollout:
Worked closely with service owners
Fixed issues collaboratively in real-time
👉 In large systems, success = coordination, not just code
🚀 Step 4 — Production Deployment (with Safety First)
Even if everything looks perfect in staging…
Production is always different.
So before deploying:
Prepared a rollback strategy
Ensured we could quickly revert to Node 20 if needed
Because at the end of the day:
💯 Stability in production matters more than a successful upgrade.
This wasn’t just a version upgrade.
It was a reminder that in DevOps, how you deploy matters as much as what you deploy.
If you’re dealing with similar upgrades or scaling DevOps systems, I’d love to connect and exchange ideas.
Most people think Kajabi is just about uploading content and sending a few emails.
It’s not.
Behind this wellness platform, there’s a full system working quietly in the background and this is the part that actually drives results.
This data covers both last year and this year, showing how the system continues to perform over time not just a one-time spike.
Here’s what was built:
→ Structured multiple offers and products properly (so everything connects cleanly from page → checkout → access)
→ Set up smart tagging no overlaps, no confusion
→ Built automations that guide users from signup → nurture → conversion → follow-up
→ Created email sequences based on behavior, not just random sends
And the result?
• 25 campaigns running
• 43.6% open rate
• Consistent engagement across nurture and onboarding emails
• Clean subscriber flow with proper tracking and lifecycle management
On the backend, contacts are organized properly clear lifetime values, correct access, and no messy tagging issues.
That’s the difference.
It’s not just about having a Kajabi site…
It’s about having a system that keeps working long after launch.
Everything here was built to be:
– simple to manage
– structured for growth
– and designed around real user behavior
If your Kajabi setup feels scattered or isn’t converting the way it should, it’s usually not the platform it’s the system behind it.
That’s where I come in.
Focused on high-quality, maintainable codebases. This piece showcases my structural approach to Flutter development.
Technical Highlights:
Standardization: Implemented custom Cursor rules for automated code refactoring and "Spaghetti Code" prevention.
Project Structure: Feature-first modular architecture for better scalability.
Robust Migration: Experience in handling complex data migrations (as seen in the terminal logs).
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