Kubernetes Fundamentals

• An understanding of containerization concepts (e.g., Docker)
• Experience with the Linux command line
• Basic networking and system administration knowledge

Audience

• Developers deploying containerized applications
• DevOps engineers managing container orchestration
• System administrators supporting Kubernetes environments

Kubernetes is an open-source platform for automating deployment, scaling, and management of containerized applications.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn the core concepts and components of Kubernetes and use it to manage containerized applications at scale.

By the end of this training, participants will be able to:

• Understand Kubernetes architecture and components.
• Deploy and manage containers in a Kubernetes cluster.
• Configure networking, storage, and scaling for workloads.
• Troubleshoot common issues and follow best practices for cluster operations.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Kubernetes

• What is Kubernetes?
• Benefits of container orchestration
• Kubernetes vs. Docker Swarm and other orchestrators

Core Components and Architecture

• Control plane and node architecture
• Pods, ReplicaSets, and Deployments
• Services, labels, and selectors

Setting Up a Kubernetes Environment

• Using Minikube or Kind for local clusters
• kubectl command-line tool
• Accessing and inspecting cluster components

Deploying Applications to Kubernetes

• Creating and managing pods and deployments
• Rolling updates and rollbacks
• Container image management

Networking and Services

• Cluster networking overview
• Creating internal and external services
• DNS, ingress controllers, and load balancing basics

Volumes and Storage

• Working with persistent volumes and claims
• Storage classes and dynamic provisioning
• Data persistence strategies

Cluster Monitoring and Troubleshooting

• Inspecting pod logs and events
• Common kubectl diagnostic commands
• Best practices for resource limits and health checks

Summary and Next Steps