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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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