Output of this Course

• Understand container orchestration fundamentals and the components and architecture of Kubernetes, preparing for efficient cluster design and deployment.
• Gain practical experience in setting up Kubernetes clusters, including configuring master and node components, and choosing the right network solutions.
• Master resource management by handling pods, labels, selectors, replica sets, services, and DaemonSets to ensure high availability and scalability.
• Learn to schedule workloads manually and automatically using scheduler features like taints, tolerations, node selectors, and node affinity.
• Manage application deployments, rollouts, and updates, leveraging Kubernetes deployment strategies for continuous integration and delivery.
• Configure and manage environment variables within a cluster using ConfigMaps, Secrets, and volume mounts to ensure secure and flexible configuration management.
• Understand storage in Kubernetes by working with volumes, persistent volumes, and persistent volume claims to maintain stateful applications.
• Implement robust security measures by managing authentication, users, service accounts, and role-based access control (RBAC) within a Kubernetes environment.
• Perform cluster maintenance tasks such as operating system upgrades, cluster version updates, ETCD backups, and manage static pods and cron jobs.
• Develop proficiency in logging and monitoring Kubernetes clusters and applications, using tools like Prometheus for comprehensive observability.
• Navigate Kubernetes networking, including CNI, pod networking, DNS configurations, ingress rules, namespaces, and load balancing to ensure proper communication within the cluster.
• Troubleshoot common cluster issues related to ETCD, kubelet, container runtime, and scheduler to minimize downtime and maintain cluster health.
• Configure and manage high-availability Kubernetes clusters with multi-master setups to ensure fault tolerance and service reliability.