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Course Outline
Foundational Principles of Kubernetes
- Architectural overview and system design
- Core operational elements: API server, Controller Manager, Scheduler, etcd, and Kubelet
- Defining operational units: Pods, Nodes, and Clusters
Resource Allocation and Control
- Resource isolation via Namespaces
- Establishing computational resource Requests and Limits
- Implementing application scaling strategies within Kubernetes
Workload Lifecycle Management
- Application deployment using Deployments, StatefulSets, and DaemonSets
- Scheduling tasks via Jobs and CronJobs
- Managing version updates and rollback procedures
Network Architecture and Service Discovery
- Kubernetes Services types: ClusterIP, NodePort, LoadBalancer, and ExternalName
- DNS configuration and service discovery mechanisms
- Application exposure through Ingress controllers
Persistent Data Management
- Data persistence via Persistent Volumes and Persistent Volume Claims
- Implementation of Static and Dynamic volume provisioning
- Access Modes, Reclaim Policies, and Projected Volumes
Configuration Governance
- Managing ConfigMaps and Secrets
- Configuration delivery using environment variables and mounted volumes
Cluster Administration and Security
- Cluster upgrades utilizing kubeadm
- Authentication configuration via TLS certificates
- Access control management using Role-Based Access Control (RBAC)
Advanced Scheduling and Scheduling Policies
- NodeSelector, NodeAffinity, and PodAffinity configurations
- Application of Taints and Tolerations for node management
Package Management with Helm
- Overview of Helm and Helm Charts
- Development and deployment of custom Helm Charts
- Dependency management within Helm ecosystems
Diagnostic and Remediation Procedures
- Analysis of BackOff and CrashLoopBackOff states
- Troubleshooting Nodes with NotReady status
- Utilization of kubectl and log analysis for fault isolation
Course Conclusion and Recommendations
Requirements
- Foundational proficiency in Linux command-line operations
- Working knowledge of containerization concepts (e.g., Docker)
- Knowledge of networking fundamentals is advised for optimal performance but is not a mandatory prerequisite
Target Audience
- System administrators
- DevOps engineers
- Developers responsible for deploying and managing containerized applications for government
35 Hours
Testimonials (1)
I liked the one-on-one format of this course, which allowed far more flexibility in Q&A. The Instructor covered the material that was relevant to my training needs, and additional knowledge that will certainly benefit me going forward.
