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MASTER Redhat Openshift- The Container Orchestration

person icon Pranjal Srivastava

4.2

MASTER Redhat Openshift- The Container Orchestration

Learn most popular Container Orchestration tool Openshift to make deployment easy and fast with power of Kubernetes

updated on icon Updated on Sep, 2024

language icon Language - English

person icon Pranjal Srivastava

English [CC]

category icon IT and Software ,Network and Security,Cyber Security

Lectures -20

Duration -1 hours

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4.2

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Course Description

This course is fully based on a pragmatic approach without any kind of bogus content. A short, precise, and practical-oriented course for IT pros just like you.

In this learning track, you are going to learn about the popular container orchestration tool, Openshift.

So what is Openshift?

Containerization enables companies to become more agile and scalable. Docker enables you to pack your code with required dependencies/lib to make your application run anywhere. To manage docker containers, any container orchestration tool is used. Openshift is one of them.

Openshift is Kubernetes with some additional add-ons, which makes Openshift more than K8s. It reduces the complexity of Kubernetes in a sorted manner.

To make you more confident with Openshift, this course is designed in such a manner that will help you to build a strong foundation and be practically fit to deploy applications into it.

This tutorial covers topics like

  • Building single node cluster with Minishift

  • Creating multi-cluster environment

  • Creating YAML files to deploy Pod, Replication Controller, Replica Set, Deployment, Deployment Config, ImageStream, Configmap, secrets, and much more

  • Using Openshift web console to manage Pod, Replication controllers, Replica sets, Deployment Config, Deployment, and much more.

  • Scaling the application according to workload

  • Creating high availability (HA) and auto-scaling applications 

  • Creating projects and managing users

  • Accessing containers running inside a pod

  • Debugging and monitoring running objects

  • Understanding all the commands of oc and Minishift

  • Using catalogs to build applications and much more.

Lectures backed by practical exercises make it easy to understand without wasting time in doing troubleshooting. This is the only course that provides 90% practical hands-on on with 10% theory to support the topic.

Goals

  • Learn the fundamental concepts of Openshift
  • Learn to build a simple Openshift cluster with the help of OKD Minishift
  • Learn about mini shift and oc commands
  • Learn to deploy application on an open-shift cluster
  • Learn to build high-availability, Scalable, Fault Tolerant applications
  • Learn about Replica Controller, Replica Sets, Deployment Config, Deployment, Volumes, Config map, Secrets, and much more
  • Learn to do quick updates and easy rollback

Prerequisites

  • Minishift installed
  • Oracle VirtualBox is installed
  • Have a GitHub and Redhat account (optional)
  • Understands the basic concepts of containerization technology
  • Idea of linux commands will be good (Not mandatory)
MASTER Redhat Openshift- The Container Orchestration

Curriculum

Check out the detailed breakdown of what’s inside the course

What is Openshift?
1 Lectures
  • play icon (Openshift = Kubernetes) or (Openshift>Kubernetes) 00:55 00:55
Minishift
3 Lectures
Tutorialspoint
Multi cluster node
1 Lectures
Tutorialspoint
Minishift Dashboard or Minishift Web Console
1 Lectures
Tutorialspoint
Pods
1 Lectures
Tutorialspoint
Achieve high availability and self healing with ReplicaController and ReplicaSet
2 Lectures
Tutorialspoint
Deployment and Deployment Config
7 Lectures
Tutorialspoint
ConfigMap
1 Lectures
Tutorialspoint
ImageStreams and Source-to-Image(S2I)
2 Lectures
Tutorialspoint

Instructor Details

Pranjal Srivastava

Pranjal Srivastava

I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.

I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

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