Kubernetes course content

Category : Tutorial | Sub Category : Kubernetes course content | By Prasad Bonam Last updated: 2023-11-21 15:01:07 Viewed : 516

A comprehensive Kubernetes course covers a range of topics to provide a deep understanding of container orchestration and how to manage containerized applications using Kubernetes. Below is a generalized course outline for a Kubernetes training program:

Module 1: Introduction to Kubernetes

1. Containerization Recap:

   • Brief review of containerization concepts.
   • Comparison of containerization and virtualization.

2. Introduction to Kubernetes:

   • Overview of Kubernetes architecture.
   • Key components: Master, Node, Pods, Services.

3. Kubernetes API:

   • Understanding the Kubernetes API.
   • Interacting with the cluster using kubectl.

Module 2: Setting Up a Kubernetes Cluster

1. Installation Options:

   • Setting up a local development cluster with tools like Minikube.
   • Deploying a production-ready cluster on cloud providers (e.g., AWS, GCP, Azure).

2. Cluster Configuration:

   • Configuring kubectl to connect to the cluster.
   • Managing cluster configurations.

Module 3: Kubernetes Objects and Resources

1. Pods:

   • Understanding and creating Pods.
   • Multi-container Pods.

2. ReplicaSets and Deployments:

   • Managing and scaling applications with ReplicaSets.
   • Deployments for declarative application management.

3. Services:

   • Exposing applications within the cluster using Services.
   • NodePort, ClusterIP, LoadBalancer services.

4. ConfigMaps and Secrets:

   • Managing configuration data with ConfigMaps.
   • Securing sensitive information with Secrets.

Module 4: Kubernetes Networking

1. Kubernetes Networking Model:

   • Understanding pod-to-pod communication.
   • Network policies for controlling traffic.

2. Ingress Controllers:

   • Routing external traffic to services using Ingress.
   • TLS termination and path-based routing.

Module 5: Persistent Storage

1. Volumes:

   • Understanding different types of volumes.
   • Configuring and using persistent volumes.

2. StatefulSets:

   • Managing stateful applications with StatefulSets.
   • Handling ordered pod creation and deletion.

Module 6: Helm and Package Management

1. Introduction to Helm:

   • Overview of Helm and its benefits.
   • Helm charts and package management.

2. Creating and Managing Helm Charts:

   • Building Helm charts for applications.
   • Deploying and upgrading applications with Helm.

Module 7: Monitoring and Logging in Kubernetes

1. Observability Tools:
   • Overview of Kubernetes observability tools (Prometheus, Grafana).
   • Logging with tools like Fluentd and Elasticsearch.

Module 8: Kubernetes Security

1. Pod Security Policies:

   • Implementing security policies for pods.
   • Controlling permissions and access.

2. RBAC (Role-Based Access Control):

   • Configuring RBAC for cluster access control.
   • Best practices for securing a Kubernetes cluster.

Module 9: Scaling and Autoscaling

1. Horizontal Pod Autoscaling:

   • Automatically adjusting the number of pods.
   • Configuring autoscaling based on metrics.

2. Cluster Scaling:

   • Scaling the entire cluster using tools like Cluster Autoscaler.

Module 10: Kubernetes Upgrades and Rollbacks

1. Kubernetes Upgrades:

   • Strategies for upgrading a Kubernetes cluster.
   • Rolling updates and blue-green deployments.

2. Rollbacks:

   • Handling failed deployments and rolling back changes.

Module 11: Advanced Kubernetes Concepts (Optional)

1. Custom Resource Definitions (CRDs):

   • Extending Kubernetes API with custom resources.
   • Building and using CRDs.

2. Operator Framework:

   • Introduction to the operator pattern.
   • Building and deploying operators.

Module 12: Real-world Use Cases and Best Practices

1. Case Studies:

   • Real-world examples of Kubernetes adoption.
   • Best practices from industry use cases.

2. Troubleshooting and Debugging:

   • Identifying and resolving common Kubernetes issues.
   • Debugging techniques.

Lab Exercises and Hands-on Projects:

The course should include practical lab exercises and hands-on projects to reinforce theoretical concepts and give participants hands-on experience with Kubernetes.

Certification (Optional):

If the course is part of a certification program, participants may prepare for and take a Kubernetes certification exam to validate their knowledge and skills.

This course content is a general guideline, and the depth and breadth of each topic can be adjusted based on the target audience and their level of expertise. Additionally, Kubernetes is a rapidly evolving technology, so the course content should be updated to reflect the latest features and best practices.