MCS Practical DevOps

MCS Practical DevOps, available at $44.99, has an average rating of 5, with 104 lectures, 9 quizzes, based on 1 reviews, and has 1 subscribers.

You will learn about Basic Principles of DevOps Introduction to Git Continuous Integration with Jenkins Basic Concepts of Kubernetes How to build and push a Docker Image This course is ideal for individuals who are Software Engineers, Systems Administrators, Tech Enthusiasts, DevOps Enthusiasts It is particularly useful for Software Engineers, Systems Administrators, Tech Enthusiasts, DevOps Enthusiasts.

Enroll now: MCS Practical DevOps

Summary

Title: MCS Practical DevOps

Price: $44.99

Average Rating: 5

Number of Lectures: 104

Number of Quizzes: 9

Number of Published Lectures: 104

Number of Published Quizzes: 9

Number of Curriculum Items: 113

Number of Published Curriculum Objects: 113

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Basic Principles of DevOps

Introduction to Git

Continuous Integration with Jenkins

Basic Concepts of Kubernetes

How to build and push a Docker Image

Who Should Attend

Software Engineers, Systems Administrators, Tech Enthusiasts, DevOps Enthusiasts

Target Audiences

Software Engineers, Systems Administrators, Tech Enthusiasts, DevOps Enthusiasts

There are many DevOps Courses out there, but you see everyone is talking about tools without talking about the culture and how it connects with the tools used. Most times people confuse DevOps and Cloud Computing. This course focuses on core DevOps and separates the confusion between it and Cloud Computing. You will learn about Jenkins, Docker, and Kubernetes some fundamentals that govern DevOps and what led to the beginning of the concept of DevOps.

This course takes you on a journey from the beginning from the definition of what DevOps is to the the reason DevOps is needed in the first place and the common DevOps market trends that are important to be aware of when you want to become a DevOps Engineer.

The next section of the course is about the Agile methodology its implementation and the ceremonies that are associated with the Agile methodology, which are the Scrum and Kanban methodologies with examples of how they are applied.

The next section of the course talks about Linux technologies, the types of Linux Technologies, and the differences that exist between the different types of Linux technologies.

Then Git which is the general technology for code repository management. In this section, we will learn how to install Git, set up a Git repository, and manage different aspects of a Git workflow such as Git branch, Git Commit, and Git checkout.

The other sections of the course are Docker, Jenkins, Kubernetes, Logging and Monitoring, and a Final exam to gauge your knowledge about all that you have learned

Course Curriculum

Chapter 1: Introduction to MCS Practical DevOps

Lecture 1: DevOps Practical Course Overview

Lecture 2: Overview of DevOps

Lecture 3: Introduction to DevOps

Lecture 4: Why DevOps

Lecture 5: What is DevOps

Lecture 6: DevOps Market Trends

Lecture 7: DevOps Engineer Skill Set

Lecture 8: DevOps Delivery Pipeline

Lecture 9: DevOps Ecosystem

Chapter 2: Agile Methodolgy

Lecture 1: What is Agile

Lecture 2: Principles of Agile

Lecture 3: What is Scrum and Sprint

Lecture 4: Ceremonies of scrum

Lecture 5: What is Kanban

Lecture 6: WIP Limit

Lecture 7: Common Agile Terms

Lecture 8: Compare between Scrum and Kanban

Chapter 3: Linux

Lecture 1: Introduction to Linux

Lecture 2: Components of Linux (Part 1)

Lecture 3: Components of Linux (Part 2)

Lecture 4: What is Debian Linux

Lecture 5: Red Hat Linux

Lecture 6: File System and Partitioning

Lecture 7: User Management

Lecture 8: Shell Scripting

Lecture 9: Basic Linux Command

Lecture 10: Exercise For Linux

Lecture 11: Lab: Setting Up a Linux Machine

Lecture 12: Lab: Creating a New Linux Server

Lecture 13: Lab: Login to the Linux Server

Lecture 14: Lab: Basic Linux Commands

Chapter 4: Git

Lecture 1: Introduction to Git

Lecture 2: What is Version Control

Lecture 3: Version Control tools

Lecture 4: Installing and Setting Up Git

Lecture 5: Git Repository

Lecture 6: Git Branch

Lecture 7: Git commit

Lecture 8: Git Flow

Lecture 9: Code Review

Lecture 10: Git Commands

Lecture 11: Lab: Initializing a Git Repository

Lecture 12: Lab: Creating Git Repository

Lecture 13: Lab: Pulling from a Remote Repository

Lecture 14: Lab: Branching in Git

Chapter 5: Docker

Lecture 1: Introduction to Docker

Lecture 2: What is a Container

Lecture 3: Container Runtimes

Lecture 4: Difference Between VM and Container

Lecture 5: What is Docker

Lecture 6: Component of Docker

Lecture 7: Docker Image

Lecture 8: Docker Registry

Lecture 9: Common Docker Commands

Lecture 10: Installing Docker

Lecture 11: Building a Docker Image

Lecture 12: Running a Docker image

Lecture 13: Docker Practical

Lecture 14: Lab: Setting Up Docker

Lecture 15: Lab: Building a Docker Image

Lecture 16: Lab: Creating a Docker Repository

Lecture 17: Lab: Pushing a Docker Image

Chapter 6: Introduction to Jenkins

Lecture 1: Overview

Lecture 2: What is CI

Lecture 3: Build

Lecture 4: Test

Lecture 5: CI Tools

Lecture 6: CD

Lecture 7: Deployment

Lecture 8: Release

Lecture 9: Rollback

Lecture 10: The CI / CD Lifecycle

Lecture 11: What is Jenkins

Lecture 12: Jenkins Jobs

Lecture 13: Types of Jenkins Jobs

Lecture 14: Jenkins Plugins

Lecture 15: Jenkins Practical: Installing Java

Lecture 16: Jenkins Practical: Installing Jenkins

Lecture 17: Jenkins Practical: Verify Jenkins Installation

Lecture 18: Jenkins Practical: Exploring Jenkins UI

Lecture 19: Jenkins Practical: Connecting Jenkins Job to Git

Chapter 7: Introduction to Kubernetes

Lecture 1: Overview

Lecture 2: What is Container Orchestration

Lecture 3: Container Orchestration Examples

Lecture 4: What is Kubernetes Part 1

Lecture 5: What is Kubernetes Part 2

Lecture 6: Kubernetes Control Plane (Master Nodes)

Instructors

Ewere Diagboya
Cloud Computing, DevOps, SRE, Data Engineering

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