Course Outline


Pre-requisites

Participants must be comfortable in a Linux environment

Duration

2-5 days

Lab Setup

Hardware configuration

2GB of free RAM, 20GB of free disk space and full network connectivity

Software configuration
  • Ubuntu 16.04 Desktop Edition (sudo/root access required)
  • Docker, Kubelet, Kubectl, Kubeadm, Minikube and Java 8 are required for the course

Course Outline for Kubernetes

Introduction to Kubernetes
  • Understand the problems faced due to limitations of Docker.
  • Introduction to Kubernetes and a comparative study between Kubernetes and Docker swarm.
Installation of Kubernetes on Linux
  • Run Kubernetes locally via Minikube and learn to install Kubernetes on Linux systems.
Container and Pods
  • Learn about containers and pods in Kubernetes by running containers, creating single-container and multi-container pods and assigning pods to nodes.
Accessing the Cluster
  • Learn to access the cluster API, share cluster access with Kubeconfig. This also includes installing and setting up Kubectl.
Workload Deployment and Management
  • Learn to deploy applications end-to-end, manage resources, roll out updates, autoscaling and best practises for configuration.
Batch Jobs
  • Learn about Jobs and parallel processing capabilities in Kubernetes.
Service Discovery and Load Balancing
  • Learn about service operations, connecting applications to services and creating a load balancer for an application.
Monitoring, Logging and Debugging containers
  • Learn about resource usage monitoring, logging, running commands in a container using Kubectl exec and examining runtime environment using Explorer.
Creating and Administering a cluster
  • Learn to build large, high-availability, portable multi-node clusters while understanding the right solutions for an application and important cluster management guidelines.

The classroom training will be provided in Bangalore (Bengaluru), Chennai, Hyderabad or Mumbai and will be conducted in the client's premises. All the necessary hardware/software infrastructure must be provided by the client.