Container Orchestration using Kubernetes Certification - Blended Learning (Live online classroom + eLearning)

- Introduction

- Containers Overview

- Demo - Setup Lab – VirtualBox

- Demo – Docker

- Container Orchestration

- Kubernetes Architecture

- Kubernetes Setup - Introduction and Minikube

- Demo – Minikube

- Kubernetes Setup – Kubeadm

- Demo - Kubeadm - Part 1 - Setup Virtual Machines and Prerequisites

- Demo - Kubeadm - Part 2 - Configure Cluster with Kubeadm

- Demo - Kubernetes on Google Cloud Platform

- Demo - play-with-k8s.com

- PODs

- Demo - PODs

- Introduction to YAML

- PODs with YAML

- Tips & Tricks – YAML

- Replication Controllers and ReplicaSets

- Demo – ReplicaSets

- Deployments

- Demo – Deployments

- Deployments - Update and Rollback

- Demo - Deployments - Update and Rollback

- Basics of Networking in Kubernetes

- Demo - Networking in Kubernetes

- Services – NodePort

- Demo – Services

- Services – ClusterIP

- Microservices Application

- Demo - Deploying Microservices

- Application on GCP Kubernetes Cluster

- Demo - Example Voting Application Improvised - v2

- Introduction to Kubernetes

- CKA and its importance

- Learning Path

- Program Outline

- Course Outline

- Course Components

- Course Completion Criteria

- Overview

- Etcd

- Controller

- Scheduler

- Kubelet

- Kube Proxy

- Pods

- ReplicaSets

- Deployments

- Services, Load Balancing &

- Networking

- Containers

- Policies

- Cluster Architecture Overview

- Configuring a Cluster

- Managing and Administering Clusters

- Node

- Control Plane–Node Communication

- Understanding Controllers

- Importance of Cloud Controller Manager

- Working with Kubeadm

- Managing a Cluster Using Kubelet

- Role-Based Access Controller

- API Server

- Achieving High Availability

- Backup, Restoration of etcd Cluster

- Data

- Version Upgrade on Kubernetes

- Cluster

- Managing Kubernetes Objects

- Overview of Workloads

- Deployment

- Understanding Pods

- Pod Lifecycle

- Working on Pod Allocation

- Init Containers

- Managing Container Resources

- Health Monitoring

- Multi Pod Containers

- Pod Topology Spread Constraints

- ReplicaSet

- Static Pods

- Application Configuration

- ConfigMap and Secrets

- Achieving Scalability

- Building Self-Healing Pods with

- Restart Policies

- Manifest Management and Common

- Templating Tools

- Scheduler Overview

- Scheduling Frameworks

- Kube-Scheduler

- Node Selection in Kube-Scheduler

- Perform Rolling Updates on a DaemonSet

- Rollbacks

- Scheduler Performance Tuning

- Scheduling Policies

- Scheduling Profiles

- Topology Management Policies

- DaemonSet

- Pod Overhead

- Performance Tuning

- Managing Resources

- Overview

- Services

- Topology

- Service Catalog

- DNS for Services and Pods

- Connecting Applications with Services

- EndpointSlices

- Ingress

- Ingress Controllers

- Network Policies

- Adding Entries to Pod /etc/hosts

- With HostAliases

- IPv4/IPv6 Dual-Stack

- Cluster Networking

- Overview of Storage in Kubernetes

- Volumes

- Persistent Volumes

- Volume Snapshots

- CSI Volume Cloning

- Storage Classes

- Volume Snapshot Classes

- Dynamic Volume Provisioning

- Storage Capacity

- Ephemeral Volumes

- Node-Specific Volume Limits

- Kubernetes in Cloud Environment

- AKS Service Components

- Overview of Troubleshooting in Kubernetes

- Kubernetes Cluster Logging Architecture

- Cluster and Node Logs

- Container Logs

- Application Troubleshooting

- Monitoring Tools

- Commands to Debug Networking

- Issues

- AKS Monitoring and Logging

- Case Studies

As a Kubernetes developer, demonstrate your web application's packaging in a Docker container image. Use the container image on the Google Kubernetes Engine cluster as a load-balanced set of replicas that can scale to the needs of your users. Scale a deployed application in Google Kubernetes Engine, then deploy a new version of your app without having zero downtime and finally deploy it to the cluster.

As a Kubernetes Developer, complete the features of the application Scalability by demonstrating how to create a Cluster with the autoscale feature, How to resize the existing cluster size to meet infra requirements of already running applications in production, & Finally, how to auto-scale the application in terms of Replica set and deployments.