Kubernetes Without Cloud Dependencies Training in Thimphu, Bhutan

This comprehensive training program equips participants with the skills to design, deploy, and manage Kubernetes clusters in any environment, free from cloud provider lock-in. Covering everything from cluster bootstrapping to production operations, the course emphasizes practical, real-world scenarios using open-source tools and self-hosted infrastructure. Participants will gain deep expertise in container orchestration, networking, storage, security, and observability, ensuring they can run Kubernetes reliably on bare metal, virtual machines, or hybrid setups.

Introduction to Kubernetes Architecture

• Understanding Kubernetes components and their roles
• Exploring control plane and worker node interactions
• Container runtime interfaces and orchestration basics

Cluster Bootstrapping with kubeadm

• Installing and configuring kubeadm, kubelet, and kubectl
• Initializing a control plane and joining worker nodes
• Verifying cluster health and component status

etcd Cluster Setup and Management

• Deploying etcd as a standalone or embedded cluster
• Configuring TLS encryption and authentication
• Backup and restore procedures for etcd

Container Runtime Configuration

• Installing and configuring containerd
• Setting up CRI-O as an alternative runtime
• Runtime class and sandboxing options

Networking and Service Discovery

• Pod networking with Calico and Cilium
• Service types, DNS, and ingress controllers
• Network policies for micro-segmentation

Storage and Persistent Volumes

• Understanding PersistentVolume and PersistentVolumeClaim
• Configuring local and network storage backends
• Dynamic provisioning with StorageClass

Security and Access Control

• RBAC configuration and role management
• Service accounts and secrets encryption
• Pod security policies and admission controllers

Monitoring, Logging, and Observability

• Deploying Prometheus and Grafana for metrics
• Centralized logging with Elasticsearch, Fluentd, and Kibana
• Configuring alerts and dashboards

Cluster Operations and Lifecycle Management

• Upgrading Kubernetes versions with minimal downtime
• Backup and disaster recovery strategies
• Scaling nodes and handling node failures

Troubleshooting and Performance Tuning

• Diagnosing common cluster and application issues
• Resource optimization and pod autoscaling
• Using kubectl and debugging tools effectively