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Duration 35 hours
Course Outline
Foundations of Kubernetes
- Overview of the platform and its architectural design
- Key components: API server, Controller Manager, Scheduler, etcd, and Kubelet
- Conceptual understanding of Pods, Nodes, and Clusters
Resource Allocation and Control
- Segregating environments using Namespaces
- Setting computational boundaries with Requests and Limits
- Techniques for application scaling within Kubernetes
Workload Orchestration
- Deploying applications via Deployments, StatefulSets, and DaemonSets
- Scheduling tasks using Jobs and CronJobs
- Managing version updates and rollback procedures
Network Connectivity and Discovery
- Exploring Kubernetes Service types: ClusterIP, NodePort, LoadBalancer, ExternalName
- Setting up DNS and service discovery mechanisms
- Routing external traffic using Ingress
Data Storage and Persistence
- Retaining data using Persistent Volumes and Persistent Volume Claims
- Implementing Static and Dynamic volume strategies
- Reviewing Access Modes, Reclaim Policies, and Projected Volumes
Configuration Handling
- Distributing configurations via ConfigMaps and Secrets
- Leveraging environment variables and mounted volumes for settings
Cluster Administration
- Upgrading cluster versions with kubeadm
- Establishing secure authentication using TLS certificates
- Controlling access rights via Role-Based Access Control (RBAC)
Advanced Scaling Techniques
- Utilizing NodeSelector, NodeAffinity, and PodAffinity
- Applying Taints and Tolerations for node scheduling control
Provisioning via Helm
- Introduction to the Helm package manager and Charts
- Developing and deploying custom Helm Charts
- Handling package dependencies with Helm
Kubernetes Diagnostics
- Investigating BackOff and CrashLoopBackOff errors
- Resolving issues with Nodes in NotReady state
- Utilizing kubectl and system logs for effective debugging
Conclusion and Future Pathways
Requirements
- Fundamental proficiency with Linux command-line operations
- Working knowledge of containerization principles (e.g., Docker)
- Foundational networking knowledge is advantageous, though not strictly mandatory
Target Audience
- System administrators
- DevOps engineers
- Developers focused on deploying and managing containerized software
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.
