Docker and Kubernetes Online Training

Duration45 Days

Mode of TrainingOnline

LevelAdvanced

Introduction

Docker is a software platform that lets you create, test, and deploy applications quickly. Docker software into standardized units called containers that contain everything the software needs to work, including libraries, system tools, code, and runtime. By using Docker, you can quickly deploy and scale applications in any environment and know that your code will be executed.
Kubernetes is an open source orchestration system developed to manage containerized applications on multiple hosts in a clustered environment.

Why Choose Docker and Kubernetes?

In today’s software development world, containerization and orchestration have become key to deploying applications in a consistent and scalable way. Docker allows developers to package applications and their dependencies into a container, ensuring consistency across environments. Kubernetes, on the other hand, automates the deployment, scaling, and management of these containerized applications. Mastering both technologies enables you to manage complex, large-scale applications with ease. With increasing adoption of cloud platforms and microservices architecture, the demand for professionals skilled in Docker and Kubernetes is growing rapidly. By enrolling in this course, you will gain in-demand skills that will accelerate your career in DevOps and cloud computing.

Key Features of Our Docker and Kubernetes Training:

Comprehensive Curriculum: Learn foundational concepts and advanced techniques in Docker, Kubernetes, and container orchestration.
Hands-On Projects: Work on practical exercises such as containerizing applications, setting up Kubernetes clusters, and deploying apps on cloud environments.
Expert Instructors: Our instructors are seasoned professionals with years of experience in Docker and Kubernetes, ensuring you receive top-notch guidance throughout your learning.
Flexible Online Learning: Access our training at your convenience and learn at your own pace. Get real-time support and collaboration opportunities with fellow learners.

Who Should Take This Course?

DevOps Engineers: Professionals looking to master containerization and orchestration to improve deployment and management of cloud-native applications.
Software Developers: Developers wanting to learn how to containerize applications and integrate them into scalable environments with Kubernetes.
IT Professionals: Those interested in cloud technologies and automation who want to improve their skills in container orchestration.
System Administrators: Administrators looking to manage containers and clusters in production environments.
Cloud Architects: Professionals planning to build scalable, reliable, and cloud-native applications using Docker and Kubernetes.

Get Started Today

Visualpath provides the best Docker and Kubernetes Online Training Course, offering flexible schedules and expert-led sessions. We are available globally, allowing professionals from anywhere to enroll and accelerate their careers.

docker and kubernetes training

You may also see course CurriculumDocker and Kubernetes Course Curriculum

Container tools

lxc, Docker,containerd etc

Docker Engine Installion

Manual deployment of Docker CE on Ubuntu and CentOS
Automate deployment with help of Vagrant

Basic introduction to Docker Engine

Different between Desktop and Server
version check
default locations
commands execution

Docker architecture

Docker daemon
Docker client
Docker registry
Docker objects
images
containers
networking
Services

Underlying technologies of Docker

namespaces like pid,net,ipc,mnt,uts
cgroup
UFS (Union File System)
Container format like libcontainer, BSD jails etc.,

Images and container management

docker image registries (like Docker Hub, JFrog, ECR, ACR etc.,)
docker image pull/push
container creation
Sample application deployment like web server
Basic things that to be considered while working with images and containers

Docker networking

Understanding netwokring like IP, Classes, subnetmask, CIDR, gateway, broadcast, public and private network in each class etc.

Docker Engine network types

host
bridge
null
overlay
Docker Network Plugin overview

Docker storage

Basic understanding of emphemeral and persistent storage
Types of volume mounts
Bind mount
Volume mount
tempfs mount

Backup and restore of Images, containers, and Docker/Application data

Building custom images

Dockerfile parameters
Develop custom image through Dockerfile
Convert container into Image
How to store Images in Container registries

Registry management

Docker Hub
Gitlab registry
Local registry

Securing Docker

Ensure Docker communication through TLS
Firewall ports
Communication to Docker through Unix socket and tcp protocal

Docker overlay network configuration(hardway) without using Docker Swarm

Docker Dashboard access using Portainer

Docker compose and Docker swarm

Building compose file for orchestration of application deployment
Docker machine management
Deployment and understanding of Docker Swarm cluster
Difference between docker swarm and kubernetes

Task

Deployment of application like nginx, mariadb and jenkins
Deploy wordpress as webserver and database for storage using Dockercompose
Deployment and understanding of Docker Swarm cluster
Deploy Node.js application with custom Dockerfile
Automate Image build with help of Jenkins CICD pipeline

JSON and YAML core concepts

what is JSON?
how to write a JSON file and validate for testing?
what is YAML?
how to write YAML files and validate for testing?

Kubernetes Deep Dive

kubernetes components and responsibility controller nodes

kube-apiserver
kube-control-manager/cloud-control-manager
kube-schduler
calico,flannel(deprecated from 1.18),wavenet etc
coreDNS
etcd key-value pair storage
kubelet
kube-proxy
Docker Engine/containerd/cri-o etc

Compute nodes

kubelet
kube-proxy
Docker Engine/containerd/cri-o etc.

Deployment of kubernets cluster using microk8s(ubuntu),minikube,kubeadm
Three nodes (1 for controller and 2 for compute nodes)

POD object creation using single container and multi-container

Understanding common networking and common storage in POD (shared namespaces)
Sample application deployment using nginx for single container in POD
Multi-container deployment, one for webapplication and second for data pull
POD creation with initContainer advantages for pre-request
static POD deployment
Deploying application from Private repository
resource allocation like CPU and MEMORY

ReplicationController object (RC)

When to use replication controller?
Disadvantages of deploying application with single POD
When to use replication controller?
Understanding template and selector parameters

Replica Set object (RS)

Difference between Replication Controller and Replica Set
Advantages of adding match Labels
when to use replica Set?

Deployment object (deploy)

Advantages of Deployment over POD, RC and RS
Sample application deployment like Jenkins, nginx and capture the advantages over other objects
Scaleout and Scale in for Deployment
Deployment Strategies like Rolling Update and Recreate difference
Rollout, Rollback and Rollout History of deployment

Daemon set object (DS)

DaemonSet usecases over deployment object
Advantages of using monitoring tools to deploy through DaemonSet object
Deployment Strategies like Rolling Update and On Delete difference
Rollout, Rollback and Rollout History of DaemonSet

StatefulSet object (sts)

Difference between stateful and stateless applications
StatefulSet application deployment advantages
Scaleout and Scalein for Deployment
Deployment Stratagies like RollingUpdate and OnDelete difference
Rollout, Rollback and Rollout History of StatefulSet

volumes

Empheimeral and persistent storage differences
Different types of volume plugins like emptyDir, hostPath, NFS etc.,
Do's and Dont's of using volumes for application deployment

PersistentVolume, PersistantVolumeClaim and StorageClass (PV and PVC)

Advanatages of using PV over volume plugins for data dependent applications
Static and Dynamic PV creation
PVC assignment in POD, Deployment, Daemonset, StatefulSet objects
StargaeClass creation for Dynamic provision
NFS, Ceph RBD storage as examples

Services (svc)

Exposing application running on different object through service
Understanding difference between ClusterIP, NodePort, Load Balancing, ExternalIP and ExternalName
When to use these different types of services?

secrets and configmap (secret, cm)

How to pass sensitive data through secret like certs, password, token etc.,
How to pass sensitive data through secret like certs, password, token etc.,
Using secret in POD object through env and volumes
Using secret in POD object through env and volumes

Ingress (ing)

Access application deployed with the cluster through IngressController
Deploying Nginx IngressController
Ingress rules creation secured and non-secure communication

Horizontal POD AutoScalling (HPA)

HPA deployent to test auto scalling
Deployment of metric server to achieve HPA

Scheduling and probes

Different types of scheduling like nodename, nodeSelector, podAffinity, podAntiAffinity, nodeAffinity
Advantages of using liveness, readiness and startup probes to verify application availability

Jobs and CronJobs

How to achieve auto backup and restore using CronJobs for application like etcd key-value pair storage
for kubernetes cluster
Jobs responsibility

calico networking

How to migrate from flannel to calico?
How to use flannel for POD networking and Calico for network security
calicoctl operations
network policy and global network policy

Authetication and authorization

authetication
user, group and serviceaccount (token), certs
kubeconfig entries and access multiple cluster through kubernetes config file
autherization
Role Back Access Control (RBAC), ABAC, Node, Webhook
Role, RoleBinding, ClusterRole, ClusterRoleBinding

Dashboard

deployment of kubernetes dashboard and creating kubernetes object through dashboard
How to authenticate to dashboard through token and kubeconfig

Task

wordpress and database application deployment
Jenkins deployment with data persistent after upgrading/downgradeg
Backup and restore of etcd service data using cronjob
kubernetes upgrade from one version to another (1.20.1 to 1.20.2)
maintaince task using taint and toleration
Automate application deployment with the help of GitOps and ArgoCD
Understanding CRD and CR for operators

Kubernetes Cluster scanning using kubescan etc

Helm charts

what is chart and maifest?
helm architecture and components
helm configuration and repo setup

helm application deployment

Deploy nginx web application with custom values
Rollout and Rollback application using helm cli
test applications deployed through Helm using #helm test

helm custom chart development

helm default directory structure
update _helper.tpl file for custom methods
how to call data from Chart.yaml and values.yaml file to templates

Deploy monitoring tools using custom helm charts

EFK deployment (ElasticSearch Fluentd and Kibana
Installation using helm chart
Configuration and log search in Kibana Dashboard

Prometheus and Grafana

Installation using helm chart
Configuration and fetching logs
Grafana dashboard configuration
use precreated dashboard

GitOps Tools

ArgoCD
FluxD

ArgoCD deployment on kubernetes cluster
Integrating GitHub with ArgoCD for Continues Deployment