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

Call Us

9555378418, 8800272669

Email

info@krnetworkcloud.org
Enquiry Form

    DevOps Training & Certification - Become a Certified DevOps Expert

    Introduction to DevOps

    What is DevOps?

    DevOps is transforming the software development landscape by bridging the gap between development and operations teams to enhance productivity and improve software quality. This approach fosters continuous improvement, rapid delivery, and resilience in software applications. With a solid DevOps foundation, teams can streamline processes, enhance communication, and maintain robust application performance through every stage of development.

    Why Choose Our DevOps Training?

    Our DevOps Training & Certification program at KRNetworkCloud.org is meticulously designed to empower you with the latest DevOps skills and tools. From foundational concepts to advanced techniques, this program prepares you for success in roles like Site Reliability Engineer, DevOps Engineer, and Cloud Architect.

    Opting for our DevOps training offers a clear path to gaining comprehensive DevOps expertise through hands-on learning, practical exercises, and insights into industry standards. With a blend of automation tools, CI/CD pipelines, infrastructure management, and real-world projects, our program equips you with the skills to excel in today’s technology-driven workplaces. Our curriculum is well-suited for professionals seeking career advancement and individuals starting their DevOps journey.

    Who Should Enroll in DevOps Training?

    Our DevOps training is designed for a diverse range of professionals, including:

    • IT Professionals & System Administrators
    • Software Developers and QA Testers
    • Cloud Engineers and Architects
    • Integration Specialists
    • Students and Career Changers

    Objective

    DevOps Training Course Objective

    Our DevOps training program aims to impart skills in major tools and technologies. Here’s what you can expect to learn:

    • Git: Understand and apply essential Git commands for code management, including branching strategies for effective collaboration.
    • Jenkins: Learn setup, job creation, and CI/CD pipeline automation for smoother integration with Git and other tools.
    • Docker: Get a strong grasp of containerization, creating efficient images, managing storage, and configuring container networks.
    • Kubernetes: Manage containerized applications at scale, handling complex deployments with ease.
    • Ansible: Automate Linux administration, configure applications, and orchestrate deployments with Ansible playbooks.
    • Terraform: Use infrastructure-as-code to automate infrastructure provisioning and management.
    • Maven: Simplify dependency management and maintain consistent builds.
    • Nexus Repository: Control library access and optimize component management.
    • SonarQube: Improve code quality through static analysis, identifying potential issues before deployment.

    Each module is designed to provide real-world insights and hands-on experience, making it easier to apply your skills effectively in any DevOps Engineer role.

    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 Tools?

    Learning DevOps Tools is more than just adding a new skill to your resume. Here are some compelling reasons why it’s a valuable choice:

    1. The tech industry’s demand for DevOps professionals continues to grow, with a focus on automation, cloud, and software integration skills.
    2. DevOps training covers a broad skill set, making you adaptable in roles across IT, development, and cloud computing.
    3. With a certification in high-demand skills, you’ll have a competitive edge in a crowded employment landscape.
    4. DevOps opens pathways to roles like Site Reliability Engineer, Cloud Engineer, or DevOps Engineer.
    5. Gain exposure to popular development tools and techniques adopted by top companies worldwide.
    6. DevOps fosters a culture of continuous improvement and innovation, promoting effective teamwork and idea-sharing.

    By investing in DevOps training, you’re equipping yourself with the skills to thrive in dynamic, technology-driven workplaces.

    Prerequisites for DevOps Training

    To maximize the value of our DevOps training, it’s helpful to have foundational knowledge in a few areas:

    1. Familiarity with cloud platforms like AWS, Azure, or Google Cloud is beneficial.
    2. A working knowledge of scripting languages like Python Scripting or Bash Scripting supports automation and integration tasks.
    3. Basic knowledge of Linux Operating systems and commands or RHCSA Training is recommended.

    ATTEND FREE DEMO

    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
    Submit Your Details
    Latest COURSES
    VIEW MORE COURSES
    Contact Us
    Enquire Now
    WhatsApp Now