Engineered for the edge of production load.
This project demonstrates a self-healing, load-adaptive web cluster built to simulate real production behavior. Using Kubernetes, HPA, Minikube, Docker, and Apache HTTPD, the platform automatically responds to traffic spikes by scaling replicas horizontally. It is a strong example of cloud-native thinking, where the system adapts dynamically instead of relying on manual intervention.
Kubernetes cluster with HPA-controlled pod replicas, Minikube for local testing, Docker containers, Apache HTTPD for serving, and metrics-driven scaling decisions.
Metric collection and analysis
Scaling policy optimization
Resource efficiency
High-traffic load simulation
Kubernetes orchestration
Auto-scaling policies and tuning
Cloud-native architecture patterns
Production-grade systems design
Cloud Architect & Kubernetes Specialist
Designed and implemented enterprise-grade infrastructure that scales reliably, meets production requirements, and demonstrates best practices in DevOps and cloud engineering.
Let's discuss how to apply these DevOps and infrastructure patterns to your needs.