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Duration 14 hours
Course Outline
Introduction to Kubernetes
- Defining Kubernetes and its purpose
- Advantages of container orchestration
- Comparison with Docker Swarm and alternative orchestrators
Core Components and Architecture
- Control plane and node design
- Pods, ReplicaSets, and Deployment resources
- Services, labeling, and selector mechanisms
Setting Up a Kubernetes Environment
- Establishing local clusters using Minikube or Kind
- Utilizing the kubectl command-line interface
- Accessing and verifying cluster elements
Deploying Applications to Kubernetes
- Managing pods and deployment lifecycles
- Implementing rolling updates and rollback procedures
- Oversight of container images
Networking and Services
- Overview of cluster network topology
- Configuring internal and external service access
- Foundations of DNS, ingress controllers, and load balancing
Volumes and Storage
- Managing persistent volumes and claims
- Storage classes and automated provisioning
- Strategies for data retention and persistence
Cluster Monitoring and Troubleshooting
- Analyzing pod logs and system events
- Key kubectl diagnostic utilities
- Best practices for setting resource limits and health probes
Summary and Next Steps
Requirements
- Familiarity with containerization principles (such as Docker)
- Practical experience using the Linux command line
- Fundamental knowledge of networking and system administration
Target Audience
- Developers responsible for releasing containerized applications
- DevOps engineers overseeing container orchestration
- System administrators maintaining Kubernetes infrastructure
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