This three-day hands-on workshop is designed for Kubernetes practitioners who want to develop expertise in diagnosing and troubleshooting performance issues in hybrid Kubernetes clusters, with a specific focus on networking and shared storage. Participants will explore real-world challenges such as network latency, service mesh issues, storage bottlenecks, and resource constraints, using advanced troubleshooting tools and techniques. By the end of the workshop, attendees will be equipped with practical skills to analyze, debug, and optimize Kubernetes workloads in complex

 hybrid environments.

• Diagnose and resolve network performance issues in hybrid Kubernetes clusters
• Troubleshoot service communication problems and optimize networking policies
• Analyze and fix slow storage performance across multiple environments
• Use advanced observability tools to detect and resolve resource bottlenecks
• Implement best practices for performance tuning in hybrid Kubernetes deployments
• Simulate and recover from common Kubernetes failures related to networking and storage

• Basic to intermediate Kubernetes knowledge (Pod, Deployment, Service, Storage, Networking)
• Familiarity with Kubernetes troubleshooting tools (kubectl, logs, metrics, etc.)
• Understanding of networking concepts (DNS, Load Balancers, CNI plugins, Service Mesh)
• Basic experience with Linux CLI and system monitoring
• Some experience with cloud or hybrid environments (Azure Kubernetes Service, AWS EKS, GKE, or on-prem clusters)