DevOps & Cloud Technologies

DevOps Training & Certification

DevOps improves cooperation and efficiency via computerizing framework and work processes and consistently estimating applications execution.

Ram Prakash Updhayay - KR Network Cloud Devops Trainer
Instructor
Mr. Ram Updhayay
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9555378418, 8800272669

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DevOps Training

DevOps—a transformative approach that automates workflows and continually measures application performance. Our comprehensive DevOps training covers Configuration Management, Code Automation, Continuous Integration, Continuous Deployment, Version Control, and Usage Monitoring.

Who ought to go for this preparation?

The DevOps course is tailored for professionals like:

  • Software Testers
  • System Admins
  • Solution Architects
  • Security Engineers
  • Application Developers
  • Integration Specialists

Objective

DevOps Training Course Objective

What are the aptitudes that you will learn with our DevOps course?

After finishing this DevOps Certification Training, you ought to have the option to:

  • Git: Master the essential commands for managing code changes and branching strategies for efficient collaboration. 
  • Jenkins: Learn installation, job creation, and pipeline automation to integrate with Git and other tools for streamlined workflows. 
  • Docker: Understand containerization from the ground up, create efficient images, manage storage, and configure container networks. 
  • Kubernetes: Gain skills to manage and deploy containerized applications at scale, managing complex deployments efficiently. 
  • Ansible: Automate Linux system administration, write automation playbooks, configure apps, and orchestrate deployments. 
  • Terraform: Automate infrastructure provisioning and management, write reusable modules, and leverage popular cloud platforms. 
  • Maven: Manage project lifecycles and dependencies, streamlining development with consistent builds. 
  • Nexus Repository: Control and optimize access to libraries and components, explore installation, configuration, and repository types. 
  • SonarQube: Enhance code quality with static code analysis, and identify and address potential issues within your codebase.

Module 1: GIT

Unit-1 INTRODUCTION TO GIT AND KEY TERMS
  • SCM / Version Control
  • What is Git?
  • Key terms in Git
Unit-2 GIT REPOSITORY MANAGEMENT AND BRANCHING
  • Create Repo on GitHub
  • Install git client
  • Git config files –
  • Git init
  • Upstream
  • Git remote
  • Git clone
  • Git fork
  • Branch concept
  • Branching strategy
  • How to create a branch
  • Git checkout
Unit-3 GIT WORKFLOW AND COLLABORATION
  • Working dir
  • Staging area
  • Repo
  • Git add
  • Git commit
  • Git push
  • Git pull
Unit-4 ADVANCED GIT OPERATIONS AND REVISION CONTROL
  • Git show
  • Git log
  • Git diff – comparing commits
  • Git revert
  • Git reset
  • Git rebase
Unit-5 GIT COLLABORATION AND ADVANCED TECHNIQUES
  • Git merge and merge conflicts
  • Git stash
  • Git tag
  • Git cherry-pick
  • Pull request
  • Students Quiz Sessions

Module 2: Jenkins

Unit-1 INTRODUCTION TO JENKINS AND ITS POPULARITY
  • What is Jenkins
  • DevOps and Jenkins
  • Why it is popular
  • Student Quiz
Unit-2 JENKINS INSTALLATION, CONFIGURATION, AND JOB MANAGEMENT
  • Jenkins installation – docker/war/rpm
  • Jenkins config files/dir
  • Change default port
  • Environment variables – inbuilt, user-defined
  • User management
  • Installing plugins – GUI, HPI
  • Jenkins job
  • Integration with GitHub
  • Credentials manager
  • Trigger
  • Workspace
  • Build status
  • Upstream job
  • Downstream job
Unit- 3 JENKINS INTEGRATIONS AND ADVANCED CONFIGURATIONS
  • Email
  • Ansible integration
  • SonarQube integration
  • maven integration
  • Executor
  • Slave configuration
  • label
  • View
Unit-4 JENKINS PIPELINE AND AUTOMATION TECHNIQUES
  • Multi-branch pipeline
  • Pipeline – declarative / scriptive
  • Jenkins file
  • parameters
  • timeout
  • agent
  • stages
  • steps
Unit- 5 QUIZ SESSIONS

Students Quiz Sessions

Module 3: DOCKER

Unit 1 - INTRODUCTION TO CONTAINERS
  • Introduction to Server Provision
  • VMS Base Provisioning difficulty
  • OS Virtualization Introduction
  • Hardware Virtualization vs. OS virtualization
  • Docker Introduction
  • Docker Architecture
  • Use case of Containerization Application
  • Setting Up Your Environment
  • Setup machine on Cloud & on-premises
  • Installation Docker
Unit 2 - LEARNING THE BASICS OF CONTAINERS
  • Images and Container File System
  • Docker Hub
  • Image & Container Basic Operation Commands
  • Creating Containers
  • Executing Container Commands
  • Docker Logging
Unit 3 - EXPOSE CONTAINERS FOR WORLD NETWORK
  • Port Understanding
  • Expose container for external Network
Unit 4 - BUILD DOCKER IMAGE
  • Image modification
  • Manually Docker image Build process
  • Install custom BINS/LIBS into the Docker images
Unit 5 - DOCKER STORAGE
  • Stateless and state full Application Understanding
  • Provide persistent storage for container
  • Create Docker Volume
  • Docker Data Backup Solution
Unit 6 - DOCKER IMAGES FILE
  • Introduction to the Docker file
  • Write Docker file for custom application
  • Image History
  • Saving and Loading Images
Unit 7 - DOCKER NETWORK
  • Understanding Bridge Network
  • Creating a custom Network for Docker Container
  • Establish Communication between Container
Unit 8 - DOCKER REGISTRY
  • Introduction Docker registry
  • How to use Public Dockers Registry
  • Setup Internal Dockers registry
  • Maintain Image over internal Dockers registry
Unit 9 - DOCKER COMPOSE
  • Installing Docker Compose
  • Compose Commands
  • Creating a Compose File
  • Using Volumes and Networking with Compose

Module 4: KUBERNETES

Unit 1 - INTRODUCTION KUBERNETES
  • Introduction to Kubernetes
  • Kubernetes Cluster Architecture
  • Core Concept of Kubernetes Services
  • ETCD & Controller & API & scheduler
  • Exploring your Cluster
  • Understanding YAML
Unit 2 - INSTALLATION
  • Installation minikube
  • Installation using Kubeadm utility in HA mode
  • Install Kubernetes the Hard Way
  • How to use Kops and create
  • Kubernetes cluster
Unit 3 - APPLICATION DEPLOYMENT
  • Creating a Deployment in Kubernetes using YAML
  • Creating a Service in Kubernetes
  • Understanding pod & Replication & Deployment
  • Configuration using Rolling Updates in Kubernetes
  • Configure Environment variables in the application
  • Configure secret resources for sensitive value
  • Creating Config Map
  • Scale Applications
  • Multi Container PODs
  • Init Containers
  • Self-Healing Applications
Unit 4 - STORAGE MANAGEMENT
  • Creating Persistent volume
  • Persistent Volume Claim
  • Volume claim policy understanding
  • Attach storage on deployment
Unit 5 - POD SCHEDULING
  • Manual Scheduling
  • Labels and Selectors
  • Taints and Tolerations
  • Node Selectors
  • Node Affinity
  • DaemonSets
  • Static Pods
  • Multiple Schedulers
  • Configuring Kubernetes Scheduler
Unit 6 - RESOURCE ALLOCATION
  • Restrict Limit Memory & CPU use
  • Creating Resource Quota
  • Creating Limit Quota
Unit 7 - NETWORKING
  •  Network Namespace understanding
  • Docker Network
  • Deploy Kubernetes Network
  • Cluster Networking
  • Pod Networking
  • Creating Service Network
  • DNS Concept in Kubernetes
  • Ingress System Kubernetes
Unit 8 - MONITORING KUBERNETES
  • Logging and Monitoring
  • Monitoring Cluster Component
  • Managing application Logs
Unit 9 - SECURITY
  • Authentication
  • TLS Introduction
  • Certificate System Kubernetes
  • Creating Certificate
  • Role base Access Controls
  • Cluster Role and Role Binding
  • SCC: Security Constant Conta & Network Policy
  • Image Security

Module 5: ANSIBLE

Unit 1 - AN INTRODUCTION TO ANSIBLE
  • Automating Linux Administration with Ansible
  • Quiz: Automating Linux Administration with Ansible
  • Installing Ansible
  • Guided Exercise: Installing Ansible
  • Summary
Unit 2 - DEPLOYING ANSIBLE
  • Building an Ansible Inventory
  • Guided Exercise: Building an Ansible Inventory
  • Managing Ansible Configuration Files.
  • Guided Exercise: Managing Ansible
  • Configuration Files
  • Running Ad Hoc Commands
  • Guided Exercise: Running Ad Hoc Commands
  • Lab: Deploying Ansible
  • Summary
Unit 3 - IMPLEMENTING PLAYBOOKS
  • Writing and Running Playbooks
  • Guided Exercise: Writing and Running Playbooks
  • Implementing Multiple Plays
  • Guided Exercise: Implementing Multiple Plays.
  • Lab: Implementing Playbooks
  • Summary
Unit 4 - MANAGING VARIABLES AND FACTS
  • Managing Variables
  • Guided Exercise: Managing Variables
  • Managing Secrets
  • Guided Exercise: Managing Secrets
  • Managing Facts
  • Guided Exercise: Managing Facts
  • Lab: Managing Variables and Facts
  • Summary
Unit 5 - IMPLEMENTING TASK CONTROL
  • Writing Loops and Conditional Tasks
  • Guided Exercise: Writing Loops and Conditional Tasks.
  • Implementing Handlers
  • Guided Exercise: Implementing Handlers.
  • Handing Task Failure
  • Guided Exercise: Handing Task Failure
  • Lab: Implementing Task Control
  • Summary
Unit 6 - DEPLOYING FILES TO MANAGED HOST
  • Managing Software and Subscriptions.
  • Guided Exercise: Managing Software and Subscriptions.
  • Managing Users and Authentication.
  • Guided Exercise: Managing Users and Authentication.
  • Managing the Boot Process and Scheduled Processes.
  • Guided Exercise: Managing the Boot Process and Scheduled Processes.
  • Managing Storage.
  • Guided Exercise: Managing Storage
  • Managing Network Configuration.
  • Guided Exercise: Managing Network Configuration.
  • Lab: Automating Linux Administration Tasks.
  • Summary
Unit 7 - MANAGING LARGE PROJECTS
  • Selecting Hosts with Host Patterns.
  • Guided Exercise: Selecting Hosts with Host Patterns.
  • Managing Dynamic Inventories.
  • Guided Exercise: Configuring Parallelism
  • Managing Dynamic Inventories Configuring Parallelism.
  • Guided Exercise: Configuring Parallelism.
  • Including Importing Files.
  • Guided Exercise: Including and Importing Files
  • Lab: Managing Large Projects.
  • Summary
Unit 8 - SIMPLIFYING PLAYBOOKS WITH ROLES
  • Describing Role Structure
  • Quiz: Describing Role Structure
  • Reusing Content with System Roles.
  • Guided Exercise: Reusing Content with System Roles.
  • Creating Roles
  • Guided Exercise: Creating Roles.
  • Deploying Roles with Ansible Galaxy
  • Guided Exercise: Deploying Roles with Ansible Galaxy
  • Lab: Simplifying Playbooks with Roles.
  • Summary
Unit 9 - TROUBLESHOOTING ANSIBLE
  • Troubleshooting Playbooks.
  • Guided Exercise: Troubleshooting Playbooks
  • Troubleshooting Ansible Managed Hosts…
  • Guided Exercise: Troubleshooting Ansible Managed
  • Lab: Troubleshooting Ansible.
  • Summary
Unit 10 - AUTOMATING LINUX ADMINISTRATION TASKS
  • Managing Software and Subscriptions.
  • Guided Exercise: Managing Software and Subscriptions.
  • Managing Users and Authentication.
  • Guided Exercise: Managing Users and Authentication.
  • Managing the Boot Process and Scheduled Processes.
  • Guided Exercise: Managing the Boot Process and Scheduled Processes.
  • Managing Storage.
  • Guided Exercise: Managing Storage
  • Managing Network Configuration.
  • Guided Exercise: Managing Network Configuration.
  • Lab: Automating Linux Administration Tasks.
  • Summary

MODULE 6: TERRAFORM

Unit 1 -INTRODUCTION TO TERRAFORM
  • Introduction to terraform
  • Infrastructure Automation
  • Install Terraform
  • Providers
  • Resources
  • Basic Syntax
Unit 2 - GETTING STARTED WITH TERRAFORM
  • Terraform Plan, show, Apply, Destroy
  • Exploring Terraform Registry
  • Interpolation
  • Tainting and Updating Resources
  • Terraform Console and Output
  • Terraform Variables
  • Breaking Out Our Variables and Outputs
Unit 3 - TERRAFORM MODULES
  • Introduction to Modules
  • Module repositories
  • First Basic Module
  • The Module code
  • Main Terraform Code
Unit 4 - TERRAFORM: WRITING IN A MORE ORGANIZED WAY
  • Maps and Lookups
  • Terraform Workspaces
  • Breaking Out Our Variable Definitions
  • Null Resources and Local-Exec
  • Terraform Console
Unit 5 - TERRAFORM WITH AWS CLOUD
  • Setting up the system for AWS
  • AWS Storage: The S3 Bucket and Random ID
  • AWS Storage: The Root Module
  • AWS Compute: AMI Data, Key Pair, and the File Function
  • AWS Compute: The EC2 Instance
  • AWS Compute: User Data and Template Files
  • AWS Compute: The Root Module
Unit 6 - TERRAFORM WITH AWS CLOUD ADVANCE PRACTICE
  • AWS Networking: VPC, IGW, and Route Tables
  • AWS Networking: Subnets, Security, and the Count Attribute
  • AWS Networking: The Root Module
Unit 7 - TERRAFORM BASIC LABS
  • Remote state
  • Data Sources
  • Templates
  • Conditionals
  • Built-in Functions
  • Working with state files
  • Outputs, count, and Join Function
Unit 8 - TERRAFORM INTEGRATION WITH S3, GIT, JENKINS
  • Adding S3 backend
  • Integration with Git
  • Packer introduction
  • Terraform with Packer
  • Terraform with Jenkins
  • Terraform Formatting and Remote State
  • Terraform RandomID and S3 Buckets
Unit 9 - TERRAFORM TROUBLESHOOTING AND TESTING
  • Terraform Plan revisited
  • Debugging the script
  • Terraform Testing
  • Error Handling
Unit 10 - TERRAFORM WITH AZURE, GOOGLE CLOUD, & PLUGINS
  • Terraform with Azure cloud
  • Terraform with Google Cloud
  • Terraform Templates
  • Terraform plugins
  • Integrating Go Plugins
Unit 11 - TERRAFORM ADVANCE FEATURES AND EXAMPLES
  • Best practices in writing terraform scripts
  • Terraform Workflow
  • Terraform projects
  • Other Hashicorp tools

MODULE 7

MAVEN
  • Maven Introduction & Installation
  • Convention over configuration
  • What is pom.xml
  • Maven Lifecycle
  • Maven Local, Central & Remote Repositories
  • Maven’s Setting.xml
  • Group ID, Artifact ID, Snapshot vs Release
  • Dependencies
  • Maven Archetypes
  • Dependency Management
  • Distribution Management
  • Maven Integration with SonarQube
  • Maven Integration with Nexus
  • Maven Integration to Tomcat

MODULE 8

SONARQUBE
  • Why is source code scanning required?
  • Introduction & Installation of SonarQube
  • Architecture
  • SonarQube Home Directory Structure
  • Sonar scanning Rules, Quality Profiles & Quality Gates
  • SonarQube Integration with Maven
  • Checking SonarQube reports
  • Custom Quality Gates
  • User and Group management for projects
  • Integration with Jenkins
  • SonarQube webhooks

MODULE 9

NEXUS REPOSITORY ARTIFACTORY TOOL
  • What is a repository?
  • Repository Management tools
  • What is Nexus and why do we use Nexus?
  • Installation and configuration of Nexus: As a Container, Pod & Service
  • Nexus Administration: Managing Nexus Configuration and Security.
  • Hosted vs Proxy vs Group Repositories
  • Introduction to Repository Replications
  • Creating Hosted and Proxy Repositories for Maven
  • Using Nexus as a docker-hosted repository.
  • Integrating Nexus with Maven
  • Build and deploy Snapshot and Release artifacts to Nexus.
  • Nexus troubleshooting

Why Learn DevOps?

DevOps is more than just adding a new skill to your resume; it’s about transforming how you work and improving overall efficiency within your team.

  • Enhanced Collaboration and Communication
  • Accelerated Time to Market
  • Improved Quality and Reliability
  • Greater Efficiency and Innovation
  • Scalability and Flexibility

Required Prerequisites

To get the most out of our DevOps training, it’s beneficial to have a foundational understanding of the following areas:

  • Cloud Computing Basics: Familiarity with any cloud platform (AWS, Azure, Google Cloud).
  • Scripting Language Knowledge: Proficiency in scripting languages like Python or Bash.
  • Linux Fundamentals: Basic knowledge of Linux systems and commands.

Attend a free demo – Click Here!

The Top Reason why to choose KR Network Cloud

  • KR Network Cloud is the Red Hat Authorized Training Partner
  • We have a world-class experienced & Certified Trainer for Red Hat Training
  • All lab facilities are available. labs are facilitated with a computer
  • We provide training as well as Red Hat Certification
  • KR Network Cloud will provide you with the Notes, Videos, and Red Hat Training books
  • We provide corporate as well as industrial training in Delhi
  • Demo sessions, Workshops, Exhibitions, backup classes, Practice sessions, etc.
  • Provide Exam Preparations to the Student
  • Our trainer will also help to crack your interview.
  • Job assistance facility for our students is also available
  • Provides online as well as classroom training.
  • Provides More Opportunities for future

Certificate

Course Details
  • Mr. Ram Upadhyay
    Instructor
  • Course Duration
    180 Hours
  • Batch Type
    Online Live Classes With Zoom Meeting
  • Email Address
    info@krnetworkcloud.org
  • Contact No.
    9555378418
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