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Master in DevOps Engineering  Curriculum

Course Module

    Infrastructure Setup

    • EC2 Walkthroug
    • Installation of DevOps Tools in the Cloud
      • Git
      • Docker
      • Selenium
      • Jenkins
      • Puppet
      • Ansible
      • Kubernetes

    Overview of DevOps: In this module you will be introduced tDevOps environment.

    • Why DevOps
    • What is DevOps
    • DevOps Market Trends
    • DevOps Engineer Skills
    • DevOps Delivery Pipeline
    • DevOps Ecosystem

    Module 3: Introduction tDevOps on Cloud:

    • Why Cloud
    • Introduction tCloud Computing
    • Why DevOps on Cloud
    • Introduction tAWS
    • Various AWS Services
    • DevOps using AWS

    Version Control with Git

    • What is Version Control
    • What is Git
    • Why Git for your Organization
    • Install Git
    • Common Commands in Git
    • Working with Remote Repositories

    Git, Jenkins & Maven Integration

    • Branching and Merging in Git
    • Git Workflows
    • Git Cheat Sheet
    • What is CI
    • Why CI is Required
    • Introduction tJenkins (With Architecture)
    • Introduction tMaven
    • Branching and Merging, Stashing, Rebasing, Reverting and Resetting
    • Build and Automation of Test using Jenkins and Maven

    Containerization Overview

    • Containerization
    • History of Containers
    • Namespaces and C Groups
    • Containers vs Virtual Machines
    • Types of Containers
    • Introduction to Docker
    • Docker Architecture
    • Container Lifecycle
    • Docker CE vs Docker EE

    The Docker Engine

    • Docker Engine
      • Setting up Docker Engine
      • Upgrading Docker Engine
    • Setting up logging drivers in Docker
    • Configuring Logging Drivers
    • Docker Terminology
    • Port Binding
    • Detached vs Foreground Mode
    • Starting Containers in different modes
    • Docker CLI Commands
    • Docker Exec Commands
    • Restart Policy in Docker
    • Removing Containers

    Image Management & Registry

    • Docker-file
    • Write a Docker-file to create an Image
    • Docker-file Instructions
    • Docker Registry
    • Configuring Local Registry
    • Build Context
    • Docker Image Tags
    • Setting up Docker Hub
    • Removing Images from the Registry

    Storage in Docker

    • Docker Storage
    • Types of Persistent Storage
    • Volumes
    • Bind Mounts
    • TMPFs Mount
    • Storage Drivers
    • Device Mapper
    • Docker Clean Up

    Orchestration in Docker

    • Docker Compose
    • Deploy a Multi-container Application using Compose
    • Docker Swarm
    • Running Docker in Swarm mode
    • Docker Service
    • Deploying a Service in Swarm
    • Service Placement
    • Scale Services
    • Rolling Update and Rollback
    • Docker Stack

    Networking and Security

    • Docker Networking
    • Network Drivers
    • Bridge Network
    • Overlay Network
    • Host and Macvlan
    • Docker Security
    • Docker Content Trust
    • Securing the Docker Daemon
    • Create and use a User-defined Bridge Network
    • Create and use an Overlay Network
    • Use Host and Macvlan Network
    • Configure Docker to use External DNS
    • Signing images using DCT

    Docker EE and Monitoring

    • Docker Enterprise
    • Universal Control Plane (UCP)
    • UCP Architecture
    • Access Control in UCP
    • Docker Trusted Registry (DTR)
    • Monitoring using Prometheus

    Docker with Kubernetes

    • Kubernetes Core Concepts
    • Setup Kubernetes cluster using GKE
    • Kubernetes Common Commands
    • Pods - Deploy a Pod
    • Deployments - Use a Deployment for pod management
    • Labels, Selectors, and Annotations
    • Services - Deploy different Services
    • Persistent Volumes and Persistent Volume Claims
    • Use Persistent Storage in Kubernetes
    • Storage Classes
    • Use Storage Classes

    Docker with Microservices

    • What are Microservices
    • Understanding Microservices and Docket together
    • Using Docker for Microservices
    • Advantages of using Docker for Microservices
    • Design Microservices Architecture with Docker Containers
    • Extending the Architecture of a Microservices-Based App with Docker

    Kubernetes Core Concepts and Networking

    • Kubernetes Fundamentals
      • Kubernetes Core Concepts
      • Kubectl common commands
      • Understanding Pods
      • Configure network on cluster nodes
      • Pod Networking Concepts
      • Setting up a cluster - Kubernetes Certificates
    • Practical Assignment:
      • Perform basic Kubectl commands
      • Deploy pods and use INIT containers to pre-set an environment
      • Configure Kubernetes network using Calico
      • Use certificates to authenticate resources

    Kubernetes Services and Scheduling

    • Services and Controllers
    • Service Networking
    • Deploy different kinds of services
    • Deploy and configure network Load Balancer
    • Primitives necessary for self-healing apps
    • Effects of resource limiting on pod scheduling
    • Configure Kubernetes Scheduler
    • Running multiple Schedulers

    Kubernetes Controllers

    • Replica Set and Replication Controller
    • Deploy different Replication Controllers
    • About Daemon Sets
    • Use Daemon Sets on nodes
    • Deployments
    • Manage pod updates using Deployments
    • Rolling updates and Rollbacks
    • Scaling applications and Ingress
    • Use HPA for dynamic work-load management
    • Use Ingress controller and rules to manage network traffic

    Persistent Storage in Kubernetes

    • Persistence Storage Overview
      • Persistent Volume and Persistent Volume Claim
      • Access modes for volumes
      • Primitives for Persistent Volume Claim
      • Secrets and Config Maps in your pods
      • Storage classes
      • Headless services
      • Stateful Sets
    • Lab Work:
      • Deploy Persistent Volume and Persistent Volume Claim
      • Use Secrets and Config Maps in your applications
      • Use Storage Class for dynamic storage allocation
      • Use stateful applications for sticky identities for pods
      • Deploy a highly available replicated MariaDB cluster

    Securing Clusters

    • Basic Concepts:
      • Authentication
      • Authorization
      • Kubernetes security primitives
      • Configure Network Policies
      • Security Contexts
    • Lab Work:
      • Create and use Roles and Role Bindings
      • Define custom Egress and Ingress policies
      • Use probes and configure a restart policy for pods
      • Define privilege and access control using security contexts

    Logging & Monitoring Clusters

    • Monitor cluster using Prometheus
    • Visualize logs using EFK stack
    • Deploy jobs to run tasks to completion
    • Manage etcd cluster
    • Use Helm Charts

    Troubleshooting Clusters

    • Troubleshooting application failures
    • Troubleshooting cluster failures

    Introduction To CI/CD

    • Lesson Introduction
    • Traditional Software Development
    • Continuous Integration
    • Continuous Delivery
    • Continuous Deployment
    • Building the continuous deployment process
    • Automated Deployment Pipeline
    • CI/CD Tool Selection

    Getting Started with Jenkins

    • Lesson Introduction
    • Setting Up Git
    • Assisted Practice: Git Set-up
    • Setting Up Jenkins
    • Assisted Practice: Jenkins Set-up
    • Maven Set-up
    • Assisted Practice: Maven Set-up
    • Exploring Jenkins
    • Assisted Practice: Build a Maven Project
    • Building a Maven Project with Jenkins

    Build Jobs and Configurations

    • Lesson Introduction
    • Understanding Jenkins Build Jobs
    • Freestyle Build Jobs
    • Assisted Practice: Freestyle Job
    • Build Triggers
    • Assisted Practice: Scheduled Builds
    • Assisted Practice: Polling SCM
    • Build Steps
    • Jenkins Environment Variables
    • Post-build Actions
    • Assisted Practice: Post-build Actions
    • Using Jenkins with Other Languages
    • Assisted Practice: Building Projects with Gradle
    • Parameterized Build Jobs
    • Assisted Practice: Parameterized Builds
    • Assisted Practice: Building From Tags
    • Assisted Practice: Remote Triggering Parameterized Builds
    • Enabling Security in Jenkins
    • Assisted Practice: Enabling Security
    • Build Pipelines and Promotions
    • Triggering Parameterized Builds

    Configuring Build Pipelines

    • Lesson Introduction
    • Introducing Pipelines
    • Understanding Pipeline Structure
    • Defining a Pipeline
    • Declarative Pipeline Syntax
    • Scripted Pipeline Syntax
    • Assisted Practice: Building Pipelines In Jenkins
    • Building a Pipeline
    • Continuous Integration Pipeline
    • Assisted Practice: Building Continuous Integration Pipelines in Jenkins File
    • Building Pipelines from Jenkinsfile
    • Assisted Practice: Building Continuous Integration Pipelines in Jenkinsfile
    • Snippet Generator
    • Unassisted Practice: Snippet Generator
    • Global Variable Reference
    • Declarative Directive Generator
    • Unassisted Practice: Restarting Pipelines
    • Multistage Pipeline

    Automated Testing in Jenkins

    • Jenkins as an Automation Testing tool
    • Assisted Practice: CI with Junit in Jenkins
    • Code Coverage using Jacoco
    • Assisted Practice: Code Coverage with Jacoco
    • Code Coverage using Clover
    • Assisted Practice: Code Coverage with Clover
    • Acceptance and Performance Tests in Jenkins
    • Assisted Practice: Integrate JMeter with Jenkins
    • Testing Code Coverage

    Code Quality Improvement Using Jenkins

    • Code Quality and Jenkins
    • Internals of Jenkins Jobs
    • Assisted Practice: Find Bugs Integration with Jenkins
    • Code Complexity
    • Assisted Practice: Coverage Complexity with Jenkins
    • Open Tasks & Sonar Qube
    • Assisted Practice: Sonar Qube with Jenkins
    • Static Code Analysis

    Automated Deployment and Continuous Delivery

    • Introduction to Automated Deployment and Continuous Delivery
    • Building the Continuous Delivery Process
    • Implementing Automated and Continuous Deployment
    • Assisted Practice: Deploying a Python Application
    • Assisted Practice: Tomcat and Jenkins
    • Assisted Practice: PHP and Jenkins
    • Deploying Maven App to Tomcat Server

    Distributed System in Jenkins

    • Introduction to Distributed Architecture
    • Assisted Practice: Create Multiple Slave Nodes
    • Deep Diving Jenkins Master/Slave Architecture
    • Assisted Practice: Assigning Jobs to Specific Slave Nodes
    • Distributed Builds

    Introduction to Ansible

    • Evolution of Infrastructure
    • Overview of Infrastructure as a Code
    • What is Configuration Management
    • Ansible Overview

    Ansible Architecture & Installation

    • Ansible Architecture and its working
    • Ansible in DevOps
    • Installation and Configuration
    • Working with Command Line Tools

    The Playbook Grammar

    • Playbook YAML definition
    • Playbook terms
    • Playbook tasks

    Writing Ansible Playbooks

    • Hosts and Users
    • Variables
    • Tasks
    • Handlers
    • Jinja2 Templates

    Ansible Modules

    • Overview of Modules
    • Types of Modules
    • Core Modules
    • Extras Modules
    • Return Values
    • Adhoc Commands
    • Case Study

    Ansible Roles

    • Overview of Roles
    • Role Directory Structure
    • Using Roles
    • Working with Ansible Galaxy

    Ansible Tower

    • Installing Ansible Tower
    • Features of Ansible Tower
    • Managing Jobs
    • Manage and Track Inventory
    • Remote Command Execution
    • Case Study

    Getting Started & Setting Up Labs

    • Choosing a right Infrastructure as Code Tool
    • Installing Terraform - Windows Users
    • Installing Terraform ? Mac OS and Linux Users
    • Choosing Right IDE for Terraform IAC development
    • Setting up AWS account

    Deploying Infrastructure with Terraform

    • Creating first EC2 instance with Terraform
    • Understanding Resources & Providers
    • Destroying Infrastructure with Terraform
    • Understanding Terraform State files
    • Understanding Desired & Current States
    • Challenges with the current state on computed values
    • Terraform Provider Versioning
    • Types of Terraform Providers

    Read, Generate, Modify Configurations

    • Understanding Attributes and Output Values in Terraform
    • Referencing Cross-Account Resource Attributes
    • Terraform Variables
    • Approaches for Variable Assignment
    • Data Types for Variables
    • Fetching Data from Maps and List in Variable
    • Count and Count Index
    • Conditional Expressions
    • Local Values
    • Terraform Functions
    • Data Sources
    • Debugging in Terraform
    • Terraform Format
    • Validating Terraform
    • Configuration Files
    • Load Order & Semantics
    • Dynamic Blocks
    • Tainting Resources
    • Splat Expressions
    • Terraform Graph
    • Saving Terraform Plan to File

    Terraform Provisioners

    • Understanding Provisioners in Terraform
    • Types of Provisioners
    • Implementing remote-exec provisioners
    • Implementing local-exec provisioners

    Terraform Modules & Workspaces

    • Understanding DRY principle
    • Implementing EC2 module with Terraform
    • Variables and Terraform Modules Terraform Registry
    • Terraform Workspace
    • Implementing Terraform Workspace

    Remote State Management

    • Integrating with GIT for team management
    • Security Challenges in Commiting TFState to GIT
    • Remote State Management with Terraform
    • Implementing S3 Backend
    • Challenges with State File locking
    • Integrating DynamoDB with S3 for state locking
    • Terraform State Management
    • Importing Existing Resources with Terraform Import

    Security Primer

    • Handling Access & Secret Keys the Right Way in Providers
    • Terraform Provider Use Case - Resources in Multiple Regions
    • Handling Multiple AWS Profiles with Terraform Providers
    • Terraform & Assume Role with AWS STS
    • Sensitive Parameter

    Introduction to Puppet

    Puppet Installation

    Puppet Configuration

    Puppet Master and Agent Setup

    Puppet Module

    Node Classification

    Puppet Environment

    Puppet Classes

    Automation & Reporting

    Install and Configure Puppet

    Configure and Implement Servers using Puppet

    Introduction to Continuous Monitoring

    Introduction to Nagios

    Installing Nagios

    Nagios Plugins(NRPE) and Objects

    Nagios Commands and Notification

    Installing Nagios

    Monitoring of different servers using Nagios

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Course Design By

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Nasscom & Wipro

Course Offered By

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Croma Campus

Master's Program Certificate

You will get certificate after completion of program

Tools Covered of Master in DevOps Engineering

Ansible

Ansible

AWS

AWS

Devops

Devops

Docker

Docker

Jenkins

Jenkins

Meven

Meven

Nagios

Nagios

Selenium

Selenium

SQL

SQL

Terraform

Terraform

Kubernetes

Kubernetes

Jira

Jira

Git

Git

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Master in DevOps Engineering Projects

Domain: DevOps

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Project Name:

Build & Push Docker Image using Jenkins Pipeline

This project automates the process of building a Docker image and pushing it to a container registry using a Jenkins CI/CD pipeline. The pipeline is configured to trigger on code changes, ensuring that the Docker image is always up-to-date. This approach streamlines the deployment workflow, enabling faster and more reliable application releases.

Domain: DevOps & Cloud Computing

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Project Name:

Advanced Kubernetes Cluster Monitoring and Autoscaling

A project focused on building a sophisticated system for monitoring and autoscaling Kubernetes clusters. It uses advanced metrics to predict resource needs and automatically adjust cluster size, ensuring optimal performance and cost efficiency.

Domain: Cloud Computing & DevOps

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Project Name:

Multi-Cloud Disaster Recovery with DevOps

An automated disaster recovery solution using DevOps principles to ensure business continuity. It replicates applications and data across multiple cloud providers, automating failover to minimize downtime and enhance resilience against regional outages.

Domain: Cloud/DevOps

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Project Name:

Infrastructure as Code(IaC) with Terraform and Ansible

An advanced DevOps project focused on automating infrastructure provisioning and configuration management using Terraform and Ansible. The project enables organizations to define, deploy, and manage infrastructure in a scalable, consistent, and repeatable manner. Automated workflows ensure faster deployments, reduce manual errors, and improve overall operational efficiency.

Industry Insights

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*Insights Displayed Are as Per Our Recorded Data

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Job Target Roles

DevOps Engineer ₹7L - ₹14L

Automation Engineer ₹6L - ₹12L

Release Engineer ₹6L - ₹11L

Build Engineer ₹5L - ₹10L

CI/CD Engineer ₹7L - ₹14L

Cloud Engineer ₹6L - ₹12L

Systems Engineer ₹5L - ₹10L

Platform Engineer ₹9L - ₹16L

Monitoring Engineer ₹5L - ₹10L

Security Engineer ₹8L - ₹15L

Network Engineer ₹4L - ₹9L

Support Engineer ₹4L - ₹8L

Linux Engineer ₹5L - ₹10L

Docker Specialist ₹6L - ₹12L

Kubernetes Engineer ₹8L - ₹15L

Site Engineer ₹6L - ₹12L

Automation Specialist ₹7L - ₹11L

DevOps Consultant ₹10L - ₹18L

Terraform Expert ₹9L - ₹16L

Ansible Engineer ₹7L - ₹10L

Pipelines Engineer ₹6L - ₹11L

SRE Engineer ₹10L - ₹18L

Ops Analyst ₹5L - ₹9L

Cloud DevOps ₹8L - ₹15L

Cloud DevOps ₹8L - ₹15L

Ops Analyst ₹5L - ₹9L

SRE Engineer ₹10L - ₹18L

Pipelines Engineer ₹6L - ₹11L

Ansible Engineer ₹7L - ₹10L

Terraform Expert ₹9L - ₹16L

DevOps Consultant ₹10L - ₹18L

Automation Specialist ₹7L - ₹11L

Site Engineer ₹6L - ₹12L

Kubernetes Engineer ₹8L - ₹15L

Docker Specialist ₹6L - ₹12L

Linux Engineer ₹5L - ₹10L

Support Engineer ₹4L - ₹8L

Network Engineer ₹4L - ₹9L

Security Engineer ₹8L - ₹15L

Monitoring Engineer ₹5L - ₹10L

Platform Engineer ₹9L - ₹16L

Systems Engineer ₹5L - ₹10L

Cloud Engineer ₹6L - ₹12L

CI/CD Engineer ₹7L - ₹14L

Build Engineer ₹5L - ₹10L

Release Engineer ₹6L - ₹11L

Automation Engineer ₹6L - ₹12L

DevOps Engineer ₹7L - ₹14L

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The master's in DevOps engineering course is for aspiring DevOps engineers who wish to become experts in utilizing DevOps methodology for software/application development. During the DevOps Course, students will learn about key concepts of DevOps, DevOps processes & tools, CI/CD, etc. The main aim of the master in DevOps engineering training program is to help students become experts in utilizing the DevOps methodology. After completing this phenomenal training program, you can get a job as a:

  • DevOps Engineer
  • Application Developer
  • Azure DevOps Engineer
  • Software Engineer
  • DevOps Specialist
certificate

There is a rise in the number of companies using DevOps methodology for software/application development. As a result, there is a huge demand for DevOps engineers in the market who can help them utilize the power of this phenomenal methodology. According to a survey, there is a 225% rise in DevOps engineering jobs in the market since the year 2013. This is why DevOps engineers get hefty salaries/remuneration from companies in which they work. In simple words, there are lots of opportunities for DevOps experts in the market.

  • Web IconAccording to a survey, there is a 75% increase in the listing of DevOps jobs on Indeed.com. Similarly, 50% rise in the mention of DevOps as a required skill in job listings of LinkedIn.
  • BrainA lot of opportunities for DevOps experts are available in the market. For example, you can get a job as a DevOps engineer, application developer, software engineer, etc.
  • PolygonAs per a survey, there is a 225% rise in DevOps engineering jobs since the year 2013.
  • AnalyticsAs per a survey, the DevOps market is going to reach the mark of $12.85 billion by the year 2025.

With project-based training in the DevOps Engineer Training program, you will master the key concepts of this amazing methodology. Moreover, you will be equipped with all the key skills that are necessary for getting a job as a DevOps engineer.

GrowthWith project-based training in the DevOps engineering training program, you will master the key concepts of this amazing methodology. Moreover, you will be equipped with all the key skills that are necessary for getting a job as a DevOps engineer.

AnalyticsAfter completing the DevOps engineering training program, you can quickly get a job in a respected company with a handsome salary package of ₹4 LPA to ₹14 LPA.

StructureAs per a survey, the DevOps market is going to reach the mark of $12.85 billion by the year 2025.

The main aim of the DevOps engineering training program is to help students master the vital or important concepts of DevOps. Besides this, the students will learn how to use this phenomenal methodology for software/app development.
Things you will learn:

  • Fundamentals of DevOps methodology
  • DevOps processes/tools
  • Scripting
  • CI, CD, and IAAC
  • GIT

The objective of a master in DevOps engineering training is to provide in-depth knowledge of DevOps methodology, concepts, and tools and make them expert DevOps engineers. The AWS DevOps Professional Certification course is developed along with expert DevOps engineers to make sure that it fulfills the changing demand of the software development industry.

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