DevOps Master Program

Course Overview

The DevOps Master Program is designed to provide comprehensive training in DevOps practices, focusing on the integration of development and operations using modern tools and AWS services. Participants will gain hands-on experience with a wide range of technologies essential for effective DevOps implementation.

About faculty :

Instructor:   N. Raveendhar

N. Raveendhar is a seasoned IT professional with over 15 years of hands-on experience in the industry, specializing in DevOps practices and cloud computing. With a proven track record of successfully delivering over 25 batches of students, Raveendhar has developed a robust curriculum that aligns with market standards and industry requirements. He combines practical knowledge with academic rigor, ensuring that students not only understand theoretical concepts but also gain valuable real-world skills.

Key Skills

  • DevOps Methodologies: Expert in implementing DevOps practices, CI/CD pipelines, and agile methodologies.
  • Cloud Technologies: Proficient in AWS services, including EC2, S3, IAM, and RDS, with hands-on experience in cloud architecture and management.
  • Containerization & Orchestration: In-depth knowledge of Docker and Kubernetes for container management and orchestration.
  • Automation Tools: Skilled in using tools such as Jenkins, Ansible, Terraform, and Packer for automation and infrastructure as code.
  • Version Control Systems: Extensive experience with Git, GitHub, and GitLab for source control and collaborative development.
  • Scripting Languages: Proficient in Shell and Python scripting for automation and process improvement.
  • Monitoring & Security: Understanding of AWS CloudWatch, IAM security practices, and best practices for secure cloud architectures.

Teaching Experience

  • DevOps Master Program Instructor: Delivered over 25 successful batches, providing comprehensive training in DevOps methodologies, tools, and AWS services.
  • Hands-On Workshops: Conducted numerous hands-on workshops focusing on real-world applications of DevOps tools and practices.
  • Mentorship: Actively mentors students, helping them navigate their career paths and understand industry demands.

Teaching Philosophy

Raveendhar believes in a student-centered approach to education, where learning is interactive, engaging, and tailored to individual needs. His philosophy encompasses:

  • Practical Learning: Emphasizing hands-on experience and real-world applications to bridge the gap between theory and practice.
  • Continuous Improvement: Encouraging students to adopt a growth mindset, fostering curiosity and resilience in facing challenges.
  • Collaboration and Communication: Promoting teamwork and open dialogue among students to prepare them for collaborative work environments in the industry.
  • Adaptability: Keeping the curriculum updated with the latest industry trends and technologies, ensuring students are well-prepared for their careers.

Through this approach, Raveendhar aims to equip students with not only the technical skills required for success in DevOps but also the soft skills necessary for effective teamwork and communication in today’s dynamic work environment.

Course Overview

Key Learning Outcomes

  • Understand and apply core DevOps principles.
  • Utilize AWS services and tools for effective DevOps implementation.
  • Build and manage Continuous Integration and Continuous Delivery (CI/CD) pipelines.
  • Automate infrastructure provisioning using Infrastructure as Code (IaC).
  • Implement various deployment strategies and security best practices.
  • Gain hands-on experience with real-world applications in cloud environments.

Tools & Services Covered

Development and Automation Tools:

  • Git: Version control for code collaboration.
  • Linux Basics and Usages
  • Maven: Build automation for Java projects.
  • Jenkins: CI/CD automation server.
  • Ansible: Configuration management and deployment automation.
  • Docker: Containerization platform for application packaging.
  • Kubernetes: Container orchestration for scalable applications.
  • Terraform: Infrastructure as Code tool for managing cloud resources.
  • Nexus: Repository manager for managing software artifacts.
  • SonarQube: Tool for maintaining code quality through continuous inspection.

AWS Services:

  • EC2 (Elastic Compute Cloud): Scalable virtual servers for applications.
  • S3 (Simple Storage Service): Secure object storage for data.
  • VPC (Virtual Private Cloud): Isolated network environment within AWS.
  • IAM (Identity and Access Management): Manage user access and permissions.
  • RDS (Relational Database Service): Managed relational database service.
  • CI/CD: AWS tools for implementing Continuous Integration and Delivery.
  • SNS (Simple Notification Service): Messaging service for notifications.
  • SQS (Simple Queue Service): Message queuing service for decoupled systems.
  • EBS (Elastic Block Store): Persistent block storage for EC2 instances.
  • Elastic Load Balancer: Distributes incoming traffic for high availability.
  • Auto Scaling Group: Automatically adjusts EC2 instances based on demand.

Learning Experience

Participants will engage in hands-on labs and real-world projects, applying best practices and gaining valuable experience in DevOps and AWS environments. This course prepares you for a successful career in the evolving field of DevOps

Join EVOLUTION25  (P. PanduRanga)  to enhance your skills and take the next step in your DevOps journey!

Module's

Module 1: Introduction to DevOps

  • Understanding DevOps Culture and Principles
  • Benefits of DevOps in Modern Software Development
  • Overview of DevOps Tools and Technologies
  • Key Differences Between DevOps and Traditional Development
  • DevOps Lifecycle and Continuous Improvement
  • Metrics for Measuring DevOps Success
  • Collaboration and Communication in DevOps
  • Trends and Future of DevOps in the Industry

 

Module 2: Linux Fundamentals

  • Overview of Linux Operating Systems
  • Linux File System Hierarchy
  • Common Linux Commands and Usage
  • File and Directory Management Commands
  • User and Group Management in Linux
  • Process Management and Job Control
  • System Monitoring Tools (top, htop, ps)
  • Configuring Permissions and Ownership

 

Module 3: Why Cloud?

  • Understanding Cloud Computing Concepts
  • Benefits of Cloud Over Traditional IT Infrastructure
  • Overview of Public, Private, and Hybrid Clouds
  • Cloud Service Models: IaaS, PaaS, SaaS
  • Economic Benefits of Cloud Computing
  • Scalability and Flexibility of Cloud Resources
  • Cloud Security Considerations
  • Emerging Trends in Cloud Technology

 

Module 4: AWS Overview

  • Introduction to Amazon Web Services (AWS)
  • Core AWS Services and Their Use Cases
  • Navigating the AWS Management Console
  • Understanding AWS Global Infrastructure
  • Pricing Models and Billing in AWS
  • Best Practices for AWS Resource Management
  • Introduction to AWS Free Tier
  • Case Studies of AWS Implementations

 

Module 5: Shell Scripting

  • Basics of Shell and Shell Scripting
  • Writing Simple Shell Scripts
  • Variables and Data Types in Shell
  • Control Structures: If, For, While
  • Functions and Error Handling in Scripts
  • Working with Command-Line Arguments
  • Input and Output Redirection
  • Debugging and Testing Shell Scripts

 

Module 6: Python Scripting

  • Introduction to Python Programming
  • Writing Basic Python Scripts for Automation
  • Data Types and Structures in Python
  • Using Python Libraries for AWS Interactions
  • Error Handling and Exception Management
  • Reading from and Writing to Files
  • Creating Functions and Modules in Python
  • Automating AWS Tasks Using Boto3

 

Module 7: Infrastructure as Code with Terraform

  • Introduction to Terraform and Its Benefits
  • Writing Terraform Configuration Files
  • Understanding Terraform State Management
  • Deploying AWS Resources with Terraform
  • Using Variables and Outputs in Terraform
  • Managing Multiple Environments with Terraform
  • Best Practices for Organizing Terraform Code
  • Terraform Modules and Reusability

 

Module 8: Configuration Management with Ansible

  • Introduction to Ansible and Its Components
  • Writing Ansible Playbooks and Roles
  • Managing Inventory and Variables
  • Using Modules for Various Tasks
  • Implementing Idempotency in Playbooks
  • Ansible Vault for Secrets Management
  • Integrating Ansible with Other Tools
  • Best Practices for Ansible Development

 

Module 9: Packer for Image Creation

  • Introduction to Packer and Its Use Cases
  • Writing Packer Templates for AWS AMIs
  • Using Provisioners in Packer
  • Building and Managing Machine Images
  • Versioning and Managing AMIs
  • Packer and Configuration Management Integration
  • Packer Best Practices and Tips
  • Troubleshooting Common Packer Issues

 

Module 10: Version Control with Git

  • Understanding Git and Its Importance in DevOps
  • Basic Git Commands and Workflow
  • Setting Up a Git Repository
  • Branching, Merging, and Conflict Resolution
  • Tagging and Release Management
  • Using .gitignore and Best Practices
  • Collaborative Workflows: Forks and Pull Requests
  • Best Practices for Commit Messages

 

Module 11: Using GitHub and GitLab

  • Creating and Managing Repositories on GitHub/GitLab
  • Understanding Branching Strategies
  • Issue Tracking and Project Management
  • Continuous Integration with GitHub Actions/GitLab CI
  • Best Practices for Collaboration and Code Reviews
  • Using GitHub/GitLab for Documentation
  • Integrating with Other Tools and Services
  • Security Considerations and Access Control

 

Module 12: Continuous Integration with Jenkins

  • Introduction to Jenkins and CI/CD Concepts
  • Setting Up Jenkins and Creating Jobs
  • Integrating Jenkins with Git and Other Tools
  • Configuring Build Triggers and Notifications
  • Pipelines: Declarative vs. Scripted
  • Best Practices for Jenkins Job Management
  • Jenkins Security and Access Control
  • Monitoring and Troubleshooting Jenkins Builds

 

Module 13: Groovy Scripting in Jenkins

  • Introduction to Groovy and Its Syntax
  • Writing Declarative and Scripted Pipelines
  • Using Shared Libraries for Code Reusability
  • Integrating Groovy with Jenkins Jobs
  • Handling Job Parameters and Environment Variables
  • Best Practices for Groovy Scripting in Jenkins
  • Debugging and Testing Groovy Scripts
  • Managing Jenkins Pipeline Libraries

 

Module 14: Containerization with Docker

  • Introduction to Docker and Containerization Concepts
  • Docker Installation and Configuration
  • Building and Managing Docker Images
  • Understanding Docker Networking and Volumes
  • Using Docker Compose for Multi-Container Applications
  • Best Practices for Dockerfile Creation
  • Security Best Practices for Docker Containers
  • Docker Swarm vs. Kubernetes Overview

 

Module 15: Orchestration with Kubernetes

  • Introduction to Kubernetes Architecture and Components
  • Setting Up a Kubernetes Cluster
  • Understanding Pods, ReplicaSets, and Deployments
  • Managing Services and Networking in Kubernetes
  • Configuring Persistent Storage and Volumes
  • Using Helm for Package Management
  • Monitoring Kubernetes Clusters
  • Best Practices for Kubernetes Management

 

Module 16: AWS Identity and Access Management (IAM)

  • Understanding IAM and Its Components
  • Creating and Managing IAM Users and Roles
  • Policies and Permissions Management
  • Implementing Security Best Practices in IAM
  • Multi-Factor Authentication (MFA) in IAM
  • Using IAM for Service Access Management
  • Auditing IAM Usage and Access
  • Integrating IAM with Other AWS Services

 

Module 17: Elastic Compute Cloud (EC2)

  • Overview of EC2 and Instance Types
  • Launching and Configuring EC2 Instances
  • Understanding Key Pairs and Security Groups
  • Managing EBS Volumes and Snapshots
  • Monitoring and Scaling EC2 Instances
  • Cost Management and Optimization Strategies
  • Implementing Auto Scaling for EC2
  • Best Practices for EC2 Management

 

Module 18: Auto Scaling and Load Balancing

  • Understanding Auto Scaling Concepts
  • Configuring Auto Scaling Groups
  • Implementing Load Balancing with ELB
  • Health Checks and Scaling Policies
  • Best Practices for Scaling Applications
  • Monitoring Auto Scaling Events
  • Load Balancer Security and Access Control
  • Case Studies of Auto Scaling Implementations

 

Module 19: Virtual Private Cloud (VPC)

  • Overview of VPC Components and Configuration
  • Creating and Managing Subnets
  • Configuring Route Tables and Internet Gateways
  • Understanding NAT Gateways and Security Groups
  • VPC Peering and PrivateLink
  • Implementing VPN Connections and Direct Connect
  • Monitoring and Troubleshooting VPC Configurations
  • Best Practices for VPC Security

 

Module 20: Amazon S3 for Object Storage

  • Introduction to Amazon S3 and Its Use Cases
  • Creating and Managing S3 Buckets
  • Understanding Storage Classes and Lifecycles
  • Configuring Access Policies and Security Settings
  • Implementing Versioning and Data Replication
  • Using S3 Events for Automation
  • Best Practices for Data Management in S3
  • Integrating S3 with Other AWS Services

 

Module 21: AWS Security Management

  • Overview of AWS Security Best Practices
  • Implementing Security Groups and Network ACLs
  • Monitoring AWS Resources with CloudTrail
  • Managing Secrets with AWS Secrets Manager
  • Understanding AWS Shield and WAF
  • Incident Response Strategies in AWS
  • Best Practices for Compliance and Governance
  • Security Automation and Continuous Monitoring

 

Module 22: Amazon RDS for Relational Databases

  • Introduction to Amazon RDS and Its Features
  • Creating and Configuring RDS Instances
  • Understanding Backup and Recovery Options
  • Monitoring RDS Performance and Cost Management
  • Implementing Security for RDS Instances
  • Scaling RDS Instances and Read Replicas
  • Migrating Databases to RDS
  • Best Practices for RDS Management

 

Module 23: AWS Simple Notification Service (SNS)

  • Understanding SNS and Its Architecture
  • Creating and Managing SNS Topics and Subscriptions
  • Integrating SNS with Other AWS Services
  • Implementing Mobile Notifications with SNS
  • Using SNS for Event-Driven Architectures
  • Monitoring SNS Usage and Performance
  • Security Best Practices for SNS
  • Real-World Use Cases of SNS

 

Module 24: Monitoring with AWS CloudWatch

  • Overview of AWS CloudWatch and Its Features
  • Setting Up Metrics and Alarms
  • Monitoring AWS Resources and Applications
  • Using CloudWatch Logs for Troubleshooting
  • Creating Dashboards for Visualization
  • Integrating CloudWatch with Other Services
  • Best Practices for Monitoring in AWS
  • Case Studies of CloudWatch Implementations

 

Module 25: Advanced AWS Services

  • Introduction to AWS Lambda and Serverless Architecture
  • Creating and Managing Lambda Functions
  • Using Amazon EFS (Elastic File System)
  • Understanding Route 53 for DNS Management
  • Implementing API Gateway with Lambda
  • Exploring AWS Step Functions for Workflows
  • Best Practices for Serverless Application Development
  • Cost Management for Advanced AWS Services

 

Program Highlights

  • Comprehensive Course Materials for Each Topic
  • Interview Preparation Questions and Mock Interviews
  • Real-Time Use Case Scenarios and Case Studies
  • Job Assistance and Career Guidance

Limitless Learning, Limitless Possibilities

Join EVOLUTION25 today and unlock your potential with endless opportunities to learn and grow. Our expert courses, industry-standard certifications, and flexible learning modes help you make your mark in the ever-evolving IT world.

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Checkout Our testimonial

See how EVOLUTION25 has helped students achieve their dreams. Real stories from our alumni on how our courses, faculty, and facilities have made a difference in their careers.

Rajesh K., Software Engineer STUDENT

EVOLUTION25 has transformed my career! The DevOps Master Program was comprehensive, hands-on, and taught by experts. I now feel fully prepared for my role in a competitive tech environment. Highly recommend!

Ayesha S., Business Analyst STUDENT

The Japanese Language N5 course was exactly what I needed. The lessons were well-structured and engaging, and the instructor made learning a new language so enjoyable. I’m already looking forward to the next level!

Arjun T., IT Consultant STUDENT

I loved the flexibility EVOLUTION25 offers with their online courses. The access to recorded lectures and materials made it easy to balance my studies with a full-time job. Plus, the one-on-one FAQ sessions were incredibly helpful.

Sneha M., Cloud Engineer SENIOR

EVOLUTION25’s Cloud Technology course gave me the skills I needed to advance in my career. The instructors were knowledgeable and always available to answer questions. Truly a fantastic learning experience.

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