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🎯 Monitoring & Performance Evaluation in K3s | 3 Practical Scenarios with Prometheus, Grafana & HAProxy

In this video, we demonstrate three real-world scenarios to evaluate system performance, resource monitoring, alerting, and load balancing in a Kubernetes (K3s) environment running microservices.

🔹 Scenario 1 – Resource Monitoring and Multi-Level Alerting
Track CPU, RAM, and Disk usage across nodes with real-time visualization. Simulate stress to evaluate how alerts are triggered based on predefined thresholds (Low, Medium, High), combined with auto-recovery and real-time notification.

🔹 Scenario 2 – Load Balancing with HAProxy
Use HAProxy to distribute traffic across multiple service instances. Simulate continuous external traffic to measure request distribution, resource consumption, and load balancing efficiency across nodes.

🔹 Scenario 3 – Network Attack Simulation and Monitoring
Simulate a TCP SYN flood attack using hping3 to test the system’s ability to detect unusual traffic patterns. Monitor metrics like TCP_InSegs, TCP_RetransSegs, open connections, and bandwidth spikes to evaluate alerting and response.

✅ Tools Used: Prometheus, Grafana, Alertmanager, HAProxy, hping3
✅ Goals: Assess system resilience, real-time detection, alerting, and load distribution under various stress and failure conditions.

📊 Ideal for DevOps engineers, students, and researchers interested in Kubernetes monitoring, network security, and cloud-native infrastructure.