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Course Outline

Fundamentals of Kubernetes

  • Definition and core purpose of Kubernetes
  • Advantages of container orchestration frameworks
  • Comparison of Kubernetes with Docker Swarm and alternative orchestrators

Primary Architectural Elements

  • Structure of the control plane and worker nodes
  • Management of Pods, ReplicaSets, and Deployments
  • Utilization of Services, labels, and selector mechanisms

Establishing a Kubernetes Infrastructure

  • Implementation of local clusters using Minikube or Kind
  • Utilization of the kubectl command-line interface
  • Accessing and analyzing cluster constituent elements

Application Deployment Strategies

  • Creation and administration of pods and deployment configurations
  • Execution of rolling updates and rollback procedures
  • Oversight of container image lifecycles

Network Configuration and Service Management

  • Overview of intra-cluster networking protocols
  • Establishment of internal and external service endpoints
  • Basics of DNS resolution, ingress control, and load balancing

Data Storage and Volume Management

  • Management of persistent volumes and volume claims
  • Implementation of storage classes and dynamic provisioning
  • Strategies for ensuring data persistence

System Monitoring and Diagnostic Procedures

  • Analysis of pod logs and system events
  • Application of standard kubectl diagnostic utilities
  • Best practices for defining resource constraints and health validations

Conclusion and Future Implementation Paths

Requirements

  • Familiarity with containerization principles (e.g., Docker ecosystems)
  • Proficiency in utilizing the Linux command-line interface
  • Foundational knowledge of networking protocols and system administration

Intended Audience

  • Software developers responsible for deploying containerized applications
  • DevOps engineers overseeing container orchestration infrastructure
  • System administrators maintaining Kubernetes environments
 14 Hours

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