Introduction to Kubernetes on edge with K3s Training Logo

Introduction to Kubernetes on edge with K3s Training

Live Online & Classroom Enterprise Training

This course introduces learners to deploying and managing lightweight Kubernetes clusters at the edge using K3s. It focuses on edge computing use cases, resource-constrained environments, and practical cluster setup for real-world scenarios.

Looking for a private batch ?

REQUEST A CALLBACK

Need help finding the right training?

Your Message

  • Enterprise Reporting

  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

What is Introduction to Kubernetes on edge with K3s Training about?

K3s is a streamlined Kubernetes distribution designed for edge, IoT, and remote deployments. This course provides a practical overview of Kubernetes fundamentals, explains how K3s simplifies cluster operations, and demonstrates how to deploy, manage, and scale containerized workloads at the edge with minimal overhead.

What are the objectives of Introduction to Kubernetes on edge with K3s Training ?

  • Understand core Kubernetes concepts in edge environments
  • Learn the architecture and components of K3s
  • Install and configure a K3s cluster
  • Deploy and manage containerized applications
  • Identify common edge computing use cases and best practices

Who is Introduction to Kubernetes on edge with K3s Training for?

  • DevOps engineers exploring edge deployments
  • System administrators managing distributed environments
  • Cloud engineers transitioning to edge computing
  • IoT solution architects and practitioners
  • Developers working with containerized applications

What are the prerequisites for Introduction to Kubernetes on edge with K3s Training?

Prerequisites:

  • Basic understanding of containers and Docker
  • Familiarity with Linux command-line basics on Linux
  • Introductory knowledge of Kubernetes concepts
  • Basic networking fundamentals
  • Awareness of cloud or on-prem infrastructure concepts


Learning Path:

  • Container fundamentals and Kubernetes basics
  • Kubernetes architecture for edge computing
  • Introduction to K3s and its design principles
  • Deploying workloads on a K3s cluster
  • Monitoring, scaling, and managing edge clusters


Related Courses:

  • Kubernetes Fundamentals
  • Docker and Container Essentials
  • Edge Computing Fundamentals
  • Cloud-Native Application Basics

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

  • Understanding edge computing and its importance.
  • Overview of Kubernetes in edge environments.
  • What is K3s and how is it different from standard Kubernetes?
  • Benefits of using K3s in IoT and edge devices: Low resource requirements, easy setup, and high scalability.
  • Preparing your edge devices for K3s installation.
  • Installing K3s on edge devices and remote nodes.
  • Setting up a K3s multi-node cluster (Master and Worker nodes).
  • Using K3s for resource-constrained environments (IoT devices, Raspberry Pi, ARM-based devices).
  • Verifying the installation and checking cluster health.
  • Understanding K3s components: K3s server, agent, and lightweight nature.
  • K3s architecture: How it scales on edge devices.
  • Working with kubectl in K3s and managing cluster resources.
  • Managing pods, deployments, and services in K3s.
  • Creating and managing Kubernetes deployments and services on K3s.
  • Handling containerized applications on edge clusters.
  • Deploying multi-container applications and scaling them on K3s.
  • Using Helm to manage applications and charts on K3s clusters.
  • Configuring networking for K3s clusters on edge devices.
  • Network policies and service discovery in K3s.
  • Securing communication in a K3s cluster: TLS, RBAC, and secrets management.
  • Handling security at the edge with Kubernetes network policies.
  • Setting up monitoring tools in a K3s environment: Prometheus, Grafana.
  • Collecting logs from edge devices using the ELK stack (Elasticsearch, Logstash, Kibana) or Fluentd.
  • Monitoring resource usage (CPU, memory, disk) on edge devices with K3s.
  • Troubleshooting common issues in K3s edge environments.
  • Handling persistent storage in K3s with edge devices.
  • Configuring persistent volumes and storage classes in a K3s cluster.
  • Deploying stateful applications on edge devices with K3s.
  • Integration with edge storage solutions (NFS, block storage).

Who is the instructor for this training?

The trainer for this Introduction to Kubernetes on edge with K3s Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews