Kubernetes KCNA

Course Overview

This comprehensive Kubernetes training prepares you to excel in the Kubernetes and Cloud Native Associate (KCNA) exam and managing containerized applications with Kubernetes. Gain a strong foundation in core Kubernetes concepts, architecture, and operation through practical exercises and challenges simulating real-world scenarios. Develop the skills and experience necessary to leverage the power of Kubernetes and further your cloud-native journey.

Who is this course for

This course is ideal for IT professionals, including software developers, system administrators, DevOps, and DevSecOps engineers, QA and Software Testing professionals new to Kubernetes.

Key Benefits

- Gain a deep understanding of Kubernetes, its advantages, components, and architecture

- Develop practical skills through exercises and challenges simulating real-world scenarios

- Learn how to deploy and manage containerized applications with confidence

- Get familiar with the main troubleshooting techniques within Kubernetes environments

- Gain experience in managing application data and basic network connectivity configuration

Learning Objectives

By the end of this course, you'll be able to:

- Pass the Kubernetes and Cloud Native Associate (KCNA) exam

- Understand Kubernetes benefits, components, and architecture

- Utilize kubectl for effective cluster interaction

- Manage containerized application lifecycle with kubernetes

- Deploy and scale applications using Kubernetes deployments

- Understand the aspects of Kubernetes observability

- Configure and troubleshoot basic Kubernetes networking scenarios

Get a Quote

Format

Prerequisites

Course contents

Day 1: Welcome to Kubernetes

Module 1: Cloud Native and Kubernetes Overview

- What is Cloud Native?

- Cloud Native architecture

- What is Kubernetes?

- Kubernetes architecture

- Kubernetes CLI client

Module 2: PODs overview

- Understanding Kubernetes pods

- YAML overview

- Creating and managing pods

- Modifying pods

- Pod lifecycle and states

Module 3: Working with PODs

- Multi-container pods

- Init and pause containers

- Resource management

- Pod Design patterns

- Debugging pods

Module 4: Container Storage

- Persistent and ephemeral storage

- Understanding volumes and volume types

- Configuring persistent storage for applications

- Storage classes and dynamic provisioning

- Best practices for managing storage

Day 2: Managing Kubernetes Applications

Module 5: Configuration Management

- Configuring applications

- Handling application configuration in Kubernetes

- Passing configuration with ConfigMaps

- Managing sensitive data with Secrets

- Best practices for using ConfigMaps and Secrets

Module 6: Deployments

- Automated workload management

- Working with deployments and replica sets

- Managing deployments

- Deployment strategies

- Rolling updates and rollbacks

Module 7: Kubernetes Networking

- What is a service?

- Service types and usage

- Endpoints and EndpointSlices

- Service Mesh overview

- Troubleshooting services

Module 8: Kubernetes Observability

- Introduction to Observability

- Open Telemetry

- Monitoring Kubernetes clusters with Prometheus and Grafana

- Cost management

- Best practices for monitoring and logging

Related Courses

Level up your skills and unlock your potential—contact us today to learn how to enroll and receive special volume discounts!