Learn Kubernetes with Future Proof Trainings

Here is an outline of topics typically covered in a Kubernetes course:

1. Introduction to Kubernetes:

   - Understanding Kubernetes and its role in container orchestration.

   - History and evolution of Kubernetes.

   - Benefits and use cases of Kubernetes.

   - Kubernetes architecture and its components.

2. Kubernetes Basics:

   - Installing and setting up Kubernetes on different platforms.

   - Kubernetes CLI (kubectl) and basic commands.

   - Creating and managing Kubernetes clusters.

   - Understanding Kubernetes objects and their relationships.

3. Kubernetes Objects:

   - Pods: the basic building block of Kubernetes.

   - Deployments: managing and scaling applications.

   - Services: exposing applications and load balancing.

   - ConfigMaps and Secrets: managing configuration data.

   - Volumes: persistent storage for containers.

4. Kubernetes Networking:

   - Kubernetes networking concepts and models.

   - Cluster networking and IP allocation.

   - Ingress and Load Balancers for external access.

   - Service discovery and DNS in Kubernetes.

5. Kubernetes Storage:

   - Understanding Kubernetes storage options.

   - PersistentVolumes and PersistentVolumeClaims.

   - Dynamic provisioning and storage classes.

   - Storage plugins and cloud providers.

6. Kubernetes Deployment Strategies:

   - Rolling updates and rollbacks.

   - Canary deployments and A/B testing.

   - Blue-Green deployments and traffic management.

   - Deployment strategies for different use cases.

7. Kubernetes Scheduling and Resource Management:

   - Node scheduling and resource allocation.

   - Resource quotas and limits.

   - Horizontal Pod Autoscaling (HPA) for scaling applications.

   - Vertical Pod Autoscaling (VPA) for optimizing resource usage.

8. Kubernetes Security:

   - Security considerations in Kubernetes.

   - Role-Based Access Control (RBAC) and authentication.

   - Network policies and security contexts.

   - Securing Kubernetes clusters and applications.

9. Kubernetes Monitoring and Logging:

   - Monitoring Kubernetes clusters and applications.

   - Prometheus and Grafana for metrics collection and visualization.

   - Logging solutions like Elasticsearch, Fluentd, and Kibana (EFK).

   - Alerting and notification systems.

10. Kubernetes Service Discovery and DNS:

    - Service discovery in Kubernetes.

    - CoreDNS and DNS resolution.

    - External DNS and managing DNS records.

11. Kubernetes Configuration Management:

    - Managing configuration files and secrets.

    - ConfigMaps and Secrets in Kubernetes.

    - External configuration management tools (e.g., Helm).

12. Kubernetes in Production:

    - Kubernetes in a production environment.

    - High availability and disaster recovery.

    - Upgrading and maintaining Kubernetes clusters.

    - Best practices for running Kubernetes in production.

13. Kubernetes Best Practices:

    - Writing Kubernetes manifests efficiently.

    - Best practices for deploying and managing applications.

    - Containerization patterns and anti-patterns.

    - Optimizing Kubernetes cluster performance.

14. Kubernetes Tools and Extensions:

    - Popular Kubernetes tools and extensions.

    - Kubernetes Dashboard and web-based management.

    - Kubernetes Operators for custom resource management.

    - Kubernetes add-ons and extensions.

15. Hands-on Projects and Case Studies:

    - Practical projects to apply Kubernetes concepts.

    - Deploying and managing containerized applications.

    - Creating Kubernetes manifests and configurations.

    - Exploring real-world Kubernetes use cases and case studies.

Note: The specific content and depth of each topic may vary depending on the course curriculum, instructor's expertise, and the target audience's background. It's important to check the course syllabus or outline for more detailed information and to ensure that the course aligns with your specific interests and goals in Kubernetes.