What started as a „simple status checker“ became a production-grade, cloud-native monitoring and reporting platform β€”
built and secured on Google Kubernetes Engine (GKE), and shaped by over 34,000 words and 247,000+ characters of real, genAI-assisted brainstorming, troubleshooting, and documentation.

πŸ€– OpenAI GPT-4.1 accompanied the entire engineering process as an active assistant β€”
from high-level architecture, through deep-dive troubleshooting, all the way to code generation, design decisions, and live deployment.

✨ What did I actually build?

🐍 Python-powered web intelligence layer

Deep-content validation and live site monitoring, fully containerized for seamless scaling and next-level portability.

☁️ Kubernetes-native deployment with YAML manifests for everything (Deployment, Service, CronJob, Ingress)

🌍 Externally available (but IP-restricted!) web UI with one-click and scheduled e-mail reporting

πŸ“¨ Automated SMTP reporting with robust error handling

πŸ”’ Security, the right way

πŸ” Strict IP whitelisting at the Ingress level: Only allowed IPs can access the UI β€” no passwords, no app-level security risks, just true network protection

πŸ”‘ All secrets and configuration via K8s Secrets & ConfigMaps

πŸ›‘οΈ Managed SSL (Google): Automated certificates and renewals

πŸ’‘ What makes this special?

End-to-end engineering, cloud-native best practices, and real overkill: This „demo“ is ready for thousands of users per minute, with live scaling and HA

99,95% genAI-powered workflow: Every problem, every architectural choice, every code refactor β€”
backed by over 34,000 words of technical conversation and live co-piloting with OpenAI GPT-4.1

Tested from every angle: DNS, proxies, e-mail delivery, external reachability, real-world traffic β€”
because true engineering means understanding the whole stack

🌈 Why does this matter?

Because building for the real world means going beyond code:
It means asking the right questions, securing at every layer, documenting every step, and using the best tools β€” human and AI β€” to deliver robust, secure, and scalable solutions.

🀝 Curious? Let’s connect and talk Cloud, AI, and real DevOps!

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