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A DevOps engineer is responsible for making sure that software is developed, tested, and delivered quickly, efficiently, and reliably. They do this by:

Automating Tasks: Writing code and scripts to automate manual tasks in the software development process, saving time and reducing errors.

Building Pipelines: Creating pipelines that automatically build, test, and deploy software, ensuring it’s ready for use.

Managing Infrastructure: Using code to manage servers and resources, making it easier to scale and maintain.

Monitoring and Troubleshooting: Keeping an eye on software and systems, and fixing any issues that arise quickly.

Collaborating: Working closely with developers and operations teams to improve communication and teamwork.

In essence, a DevOps engineer helps software development run smoothly and efficiently by using automation and collaboration.

  • What is DevOps?
  • History of DevOps
  • What is Dev and Ops
  • DevOps definition
  • DevOps and Software Development Life Cycle
  • What does a DevOps Engineer do
  • Who are DevOps engineers
  • Skills a DevOps Engineer must possess
  • The Popular DevOps Tools you should master
  • A Daily “Check List” of A DevOps Engineer OR DevOps Engineer Roles and Responsibilities
  • Introduction to the Linux Operating System
  • Linux File System Hierarchy
  • Linux File & Directory Management
  • Linux Permissions and Ownership
  • User and Group Management
  • Linux Package Management
  • Winscp Scp Crontab
  • Passwordless authentication
  • Most useful commands like cp, mv, tar, yum, rpm, wget, rm, find, etc…
  • Permission Text Editing with Vim or Nano
  • Linux Monitoring Commands

Project on Linux:

  • Deploy Java Application with PostgreSQL Database on Tomcat Web Server
  • Deploy PHP Application with MySQL on Apache/Nginx Web Server
  • Git Basics and Version Control Concepts
  • What is GIT?
  • Installing Git for Windows
  • Basic Commands Overview
  • Diff b/w Git and SVN
  • Git stages
  • Creating Branches in Git and Git Branching Strategies
  • Git merge and rebase
  • Backing Out Changes
  • Renaming and Moving Files & Deleting Files
  • Git Repository Setup
  • Git push, pull, and fetch
  • Git Stash, conflicts, fetch, merge, tags
  • Overview of Maven and Gradle
  • Diff b/w Maven and Gradle
  • How to install Maven/Gradle in Windows and Linux
  • Maven Phases and Lifecycle
  • Maven and Gradle Important config files for Application deployment
  • How to create. Jar, .war, and files using Maven and Gradle
  • How to add dependency files in Maven and Gradle
  • Install and Configuration of Tomcat
  • Deploy Java Project on Tomcat
  1. Introduction to Jenkins:

Overview of Jenkins and its role in DevOps

Installation and setup of Jenkins

Basic configuration and security settings

  1. Building Jobs with Jenkins:

Creating and configuring Jenkins jobs

Building and compiling code

Triggering jobs manually and automatically

  1. Source Code Management (SCM) Integration:

Integrating Jenkins with version control systems (e.g., Git)

Setting up webhooks and triggers for automatic builds

  1. Jenkins Plugins:

Installing and managing Jenkins plugins

Popular plugins for source code management, build tools, and deployment

  1. Jenkins Pipelines:

Introduction to Jenkins Pipelines

Declarative and scripted pipeline syntax

Building complex workflows with stages and steps

  1. Automated Testing with Jenkins:

Setting up and running automated tests

Integration with testing frameworks (e.g., JUnit, Selenium)

Generating test reports

  1. Continuous Integration (CI) Best Practices:

Principles of CI/CD

Best practices for Jenkins job configurations

Building and testing in parallel

  1. Deployment and Continuous Delivery (CD) with Jenkins:

Configuring automated deployments

Blue-green deployments

Canary releases

  1. Docker and Jenkins:

Docker integration with Jenkins

Building and pushing Docker images

Running Jenkins agents in containers

  1. Jenkins Security:

User authentication and authorization –

Securing Jenkins with role-based access control (RBAC) – Security plugins and best practices

  1. Monitoring and Notifications:

Integrating Jenkins with monitoring tools (e.g., Prometheus)

Setting up alerts and notifications (e.g., Slack, email)

  1. High Availability and Scaling:

Scaling Jenkins for larger workloads – Implementing Jenkins in a high-availability setup

  1. Jenkins as Code:

Managing Jenkins configurations as code (using tools like Jenkinsfile) – Version-controlling Jenkins configurations

  1. Backup and Disaster Recovery:

Creating backup and restore strategies for Jenkins – Planning for disaster recovery

  1. Kubernetes Deployments using Jenkins:

Deploy NodeApp and JavaApp to Kubernetes using Jenkins Pipeline

  1. Real-World Use Cases and Case Studies:

Examining real-world Jenkins implementations – Best practices in Jenkins usage

  1. Final Project: – A practical project that involves setting up a complete CI/CD pipeline using Jenkins:

Deployment of an application to a production environment

  1. Introduction to Docker

Introduction to Containers

What are containers?

Containerization vs. virtualization.

  1. Docker Overview

Docker architecture.

Docker components (Docker Engine, Docker Hub, Docker Compose).

  1. Installation and Setup

Installing Docker on various platforms (Linux, Windows, macOS).

Docker command-line basics.

  1. Working with Images

Creating Docker images.

Docker Hub and image repositories.

Dockerfile and image layers.

  1. Managing Containers

Creating, running, and stopping containers.

Inspecting container metadata.

Managing container data

  1. Docker Networking

Docker networking concepts.

Exposing container ports.

Bridge and overlay networks.

  1. Docker Compose and Orchestration

Docker Compose

Defining multi-container applications with Compose.

Compose commands and YAML syntax.

Networking in Compose

  1. Container Orchestration (Overview)

– Introduction to orchestration tools (Docker Swarm, Kubernetes).

– Pros and cons of orchestration

  1. Docker Swarm and Kubernetes

Docker Swarm

Setting up a Docker Swarm cluster.

Deploying services in Swarm.

Scaling and managing services.

  1. Docker Security

Container security best practices.

Docker security scanning

  1. Docker Volumes and Storage

Managing data in containers.

Docker volume types.

  1. High Availability and Scaling

Scaling Jenkins for larger workloads – Implementing Jenkins in a high-availability setup

  1. CI/CD with Docker

Docker in continuous integration and continuous deployment (CI/CD) pipelines.

Building and pushing Docker images in CI/CD.

Final Projects and Certifications

Project on Docker

  1. Introduction to Kubernetes:

Overview of Kubernetes and its role in container orchestration

Basic architecture and components of Kubernetes

  1. Setting Up Kubernetes:

Installation options (e.g., Minikube, kubeadm, EKS managed Kubernetes services)

Configuring a Kubernetes cluster

Cluster maintenance and upgrades

  1. Deploying Applications:

Creating and managing Pods, Deployments, and Services

Using YAML manifests for resource definitions

Rolling updates and rollbacks

  1. Managing Kubernetes Resources:

ConfigMaps and Secrets for Configuration Management

Persistent storage with PersistentVolumes and PersistentVolumeClaims

Resource quotas and limits

  1. Networking in Kubernetes:

Service discovery and load balancing

Network Policies for Controlling Traffic

Ingress controllers and routing

  1. Monitoring and Logging:

Using Prometheus for monitoring

Setting up Grafana dashboards

Centralized logging with tools like ELK (Elasticsearch, Logstash, Kibana)

  1. High Availability and Scaling:

Strategies for high availability

Horizontal Pod Autoscaling (HPA)

Cluster scaling with node pools

  1. Security in Kubernetes:

Role-Based Access Control (RBAC)

Pod security policies

Securing the Kubernetes API server

  1. Kubernetes Operators:

Introduction to Operators and Custom Resource Definitions (CRDs)

Building custom Operators

Managing complex applications with Operators

  1. Stateful Applications and Operators:

Managing stateful workloads with StatefulSets – Deploying databases and other stateful applications – Using Operators for stateful application management

  1. Cloud-Native Ecosystem:

Exploring cloud-native technologies (e.g., Istio for service mesh, Knative for serverless) – Integrating Kubernetes with cloud services (e.g., AWS EKS,)

  1. Multi-Cluster and Federation:

Managing multiple Kubernetes clusters – Kubernetes federation and workload distribution

  1. CI/CD with Kubernetes:

Deploying applications using Jenkins- Building and pushing container images to registries – Automating deployments with Helm charts

  1. Troubleshooting and Debugging:

Strategies for diagnosing and resolving issues in a Kubernetes cluster – Debugging techniques and tools

  1. Best Practices and Case Studies:

Real-world Kubernetes use cases and case studies – Best practices in Kubernetes adoption

  1. Projects on Kubernetes:

A practical project that involves deploying and managing a complex application on a Kubernetes cluster – Implementing CI/CD pipelines for Kubernetes-based applications

  1. Introduction to Ansible:

Overview of Ansible and its role in automation

Ansible architecture and components

  1. Ansible Installation and Setup:

Installation options (e.g., package manager, pip)

Setting up the Ansible control node

Configuring Ansible for Remote Management

  1. Ansible Ad-Hoc Commands:

Running ad-hoc commands to perform tasks on remote hosts

Managing inventory files

Ansible command-line options

  1. Ansible Playbooks:

Creating and structuring Ansible playbooks

YAML syntax for defining tasks and plays

Variables and facts in Ansible

  1. Ansible Modules:

Exploring Ansible modules for various tasks (e.g., file management, package installation, service management)

  1. Ansible Roles:

Organizing playbooks using roles

Role structure and best practices

Role dependencies

  1. Ansible in CI/CD Pipelines:

Integrating Ansible into CI/CD pipelines – Automating application deployment with Ansible

  1. Ansible Best Practices:

Best practices in Ansible automation – Code organization, naming conventions, and documentation

  1. Troubleshooting Ansible Playbooks:

Debugging techniques and tools – Handling common errors and issues

  1. Real-World Use Cases and Case Studies:

Real-world Ansible automation use cases – Industry-specific case studies

  1. Projects on Ansible:

A practical project that involves automating a real-world IT task or infrastructure management task using Ansible

  • Introduction to AWS
  • AWS Account creation & free tier limitations overview
  • EC2 Instance Launch Wizard
  • EC2 Instance Types
  • Generating custom Public Key and Private keys for EC2 instances
  • volumes and Snapshots
  • Creating customized Amazon Machine Images
  • Elastic Load Balancers & Health Checks
  • Auto Scaling Groups
  • Cloud Watch
  • Creating Billing Alarm and EC2 instance alarms. VPC (Virtual Private Cloud):
  • Networking Basics
  • Creating custom VPCs and custom Subnets
  • Route Tables & IGW
  • VPN Configuration with AWS (OpenVPN) Elastic IP
  • Simple Notification Service
  • Databases RDS
  • Cost Optimization
  • AWS Backup service
  • AWS AMI
  1. Introduction to Terraform and AWS:

Overview of Terraform and its benefits

Introduction to AWS services and offerings

Setting up Terraform and AWS CLI

  1. Terraform Basics:

Writing and organizing Terraform configurations (HCL)

Initializing a Terraform project

Understanding Terraform state and state management

  1. AWS Resources with Terraform:

Provisioning AWS resources (e.g., EC2 instances, S3 buckets) using Terraform

Understanding resource dependencies and relationships

Managing resource attributes and parameters

  1. Variables and Input:

Defining and using variables in Terraform configurations

Input variables, output variables, and data sources

Variable interpolation and dynamic values

  1. Modules in Terraform:

Creating and using Terraform modules for reusable configurations

Best practices for module design and organization

Module versioning and registry usage

  1. Terraform State Management:

Understanding remote state backends (e.g., AWS S3, Terraform Cloud)

Locking and concurrent access to state files

Managing state versions and backups

  1. Terraform Providers:

Configuring AWS provider settings in Terraform

Using multiple providers in a single configuration

Provider version constraints and compatibility

  1. Infrastructure as Code Best Practices:

Terraform best practices for code structure and organization

Managing sensitive data with variable files and secrets management

Code review and collaboration best practices

  1. Terraform Functions and Expressions:

Using built-in Terraform functions and operators

Complex data manipulation and transformations

Conditional expressions and loops

  1. Terraform Workspaces:

Managing multiple environments and configurations with Terraform workspaces – Creating and switching between workspaces – Workspace-specific variables and state files

  1. Advanced Terraform Topics:

Handling remote-exec provisioners and user data – Integration with AWS Elastic Beanstalk and AWS Lambda – Data sources for information retrieval

  1. Terraform and AWS Networking:

Configuring VPCs, subnets, and security groups with Terraform – Managing route tables and peering connections – Network topology and architecture design

  1. Managing AWS IAM with Terraform:

Creating IAM users, roles, and policies – Fine-grained permissions management – IAM role assumption and trust relationships

  1. Terraform Automation:

Integrating Terraform with CI/CD pipelines – Automating the provisioning and deployment process – Integration with AWS CodePipeline

  1. Terraform and AWS Modules:

Exploring AWS-specific Terraform modules and best practices – Using community-contributed modules – Building custom modules for AWS resources

  1. Terraform Security and Compliance:

Security best practices in Terraform configurations – Compliance automation with Terraform – Infrastructure vulnerability scanning and remediation

  1. Terraform and AWS Cost Management:

Optimizing AWS resources for cost efficiency – Managing resource tags and cost allocation – Cost analysis and reporting with AWS Cost Explorer

  1. Case Studies and Real-World Scenarios:

Analyzing real-world Terraform and AWS deployments – Industry-specific case studies

  1. Project on Terraform:

A hands-on project that involves creating a complete infrastructure using Terraform for an AWS-based application or service – Deployment of resources to a production environment

  1. Introduction to Monitoring and Observability:

Understanding the importance of monitoring in DevOps

Introduction to Prometheus and Grafana

  1. Prometheus Fundamentals:

Overview of Prometheus architecture

Installing and configuring Prometheus

Prometheus data model: metrics, labels, and time series

  1. Prometheus Queries and Alerting:

Using PromQL for querying and filtering metrics

Creating and managing alerts in Prometheus

Alert notification and routing

  1. Exporters and Instrumentation:

Introduction to Prometheus exporters

Instrumenting applications with Prometheus client libraries

Using third-party exporters for various services

  1. Grafana Introduction:

Overview of Grafana and its role in visualization

Installing and configuring Grafana

Adding Prometheus as a data source in Grafana

  1. Creating Grafana Dashboards:

Building and customizing Grafana dashboards

Adding panels and visualizing Prometheus data

Templating and variables in Grafana

  1. Alerts and Notifications with Grafana:

Setting up alerts in Grafana

Configuring alert conditions and thresholds

Integrating Grafana with alerting systems (e.g., email, Slack)

  1. Case Studies and Real-World Scenarios:

Analyzing real-world Prometheus and Grafana deployments – Industry-specific case studies

  1. Project on Prometheus and Grafana:

A hands-on project that involves setting up Prometheus for monitoring and Grafana for visualization for Kubernetes Cluster

Creating custom dashboards and alerts for an application or infrastructure

  • Shell Scripting
  • Resume
  • Real-time Interview Questions and Answers on Each Module
  • Troubleshooting Questions and Answers
  • End-to-End DevOps Projects with All Tools
  • Mock Interviews
  • One to one Hands-on Lab and Lab setup guide
  • Rushi Infotech App Access for Labs and Assignments

Embrace the power of DevOps principles combined with AWS cloud capabilities to revolutionize your software delivery. This synergy enables rapid, reliable deployment, scalable infrastructure, and enhanced collaboration, driving innovation and efficiency across your development and operations workflows on a robust, cloud-native platform.