DevOps Training in Ahmedabad with Certification

Project 1: Apache Web Server Setup with Security & Real-Time Configuration
We will configure a fresh Red Hat Enterprise Linux 9 machine as a fully functional Apache Web Server. The setup includes installing and managing the httpd service, configuring SELinux policies to allow web access, and opening necessary firewall ports to ensure external accessibility. We will also ensure the server reflects real-time content changes without requiring service restarts. This project emphasizes practical skills in service management, SELinux security, and firewall configuration-crucial for real-world system administration.

Project 2: Container Deployment with Systemd Integration Using Podman In this project we will build a custom container image using a pre-defined Containerfile, deploy a container using Podman as a regular user, and generate a systemd service to manage the container lifecycle. The container will be configured to start automatically on system boot and integrate seamlessly into the system’s service management. This project reinforces container management concepts, rootless operations and service automation using systemd.

Project 1: Auto Scaling Implementation
Designed Auto Scaling Groups for high-availability applications to ensure dynamic scalability and cost optimization.
Configured Launch Templates with secure settings and automated bootstrapping for efficient instance provisioning.

Project 2: AWS Load Balancer Implementation
Deployed Application Load Balancers (ALB) for seamless traffic distribution across EC2 instances, enhancing high availability.
Configured SSL certificates for secure HTTPS traffic and integrated Auto Scaling Groups for automatic scaling and fault tolerance.

Project 3: Static Website Hosting on AWS S3
Deployed a static website on AWS S3, providing a cost effective and scalable hosting solution.
Configured S3 bucket policies for secure content delivery and implemented versioning for content management.

Project 4: CloudWatch with SNS and Alarm Configuration
Created CloudWatch dashboards to monitor instance CPU utilization.
Configured alarms for CPU overload and integrated SNS to receive notifications via email, enhancing application scalability and monitoring.

Project 5: Deploy a Three-Tier NodeJS Application through AWS Cloud implementing High Availability, Scalability and Maximum Security

Architecture Setup

• Implementing a three-tier architecture with Web Tier, Application Tier, & Database Tier using EC2 instances, VPC, & subnets for separation & security.
• Deploying an RDS MySQL Database in the private subnet for high availability and fault tolerance.

Web Tier

• Configuring Apache web servers on EC2 instances to serve a React.js front-end.
• Setting up an External Load Balancer to evenly distribute traffic and ensure high availability.

Application Tier

• Deploying a Node.js application on EC2 instances to hanale API requests and business logic.
• Used an Internal Load Balancer for efficient traffic management between the Web and Application Tiers.

Database Tier

• RDS MySQL handles data storage for redundancy and high availability.
• The application tier interacts with the database for data operations and updates.

Security and Domain Integration

• Integrating AWS Certificate Manager (ACM) to secure the application with SSL/TLS certificates.
• Hosting the application on a personal domain using Route 53 for DNS management and secure HTTPS access.

Project 1: Deploying a Website Using Docker & Volumes
We will create a Docker image and configure a persistent volume to store website content. The image will then be pushed to Docker Hub. A container will be executed using the created volume and the pushed image and exposed on port 8080. Finally, the website’s accessibility will be tested using the curl command on localhost.

Project 2: Multi-Container Deployment with Docker Compose
We will design and configure Docker Compose files to deploy a multi-container application efficiently. The setup will include service networking, volume management, and environment variable integration to ensure secure and seamless container operations. This project will help in understanding how to manage multiple interconnected containers using Docker Compose for scalable and efficient application deployment.

Project 1: Cloud-Native Web Voting Application
A scalable platform designed for real-time voting. The frontend, built with React and JavaScript, offers a responsive user experience, leveraging Redux for state management. The backend, developed in Go (Golang), ensures efficient voting operations with optimized routines. MongoDB with a replica set provides data redundancy. Kubernetes manages auto-scaling, Ingress, ConfigMaps, and Persistent Volumes, while CI/CD pipelines automate deployments and monitoring tools ensure system reliability.

Project 2: Full Stack Real-Time Chat App Deployment
A scalable and secure messaging platform designed for seamless communication. The frontend, built with React and WebSockets, ensures a dynamic user experience, while the backend, developed in Node.js, handles real-time messaging efficiently. MongoDB stores chat data with high availability. Kubernetes manages auto-scaling, Ingress, ConfigMaps, and Persistent Volumes, ensuring reliability. CI/CD pipelines automate deployments, while Prometheus and Grafana provide monitoring and performance insights

Project 1: Apache Web Server Automation with Ansible
This project automates the deployment and configuration of an Apache web server using an Ansible Role. This role sets up the server with custom ports, configuration files, and security settings while leveraging Ansible variables, facts, loops, conditionals, handlers, and Jinja templates for dynamic configuration. The playbook ensures idempotent provisioning, managing package installation, firewall rules, and service restarts efficiently. Using handlers, the server reloads configurations only when necessary, optimizing performance.

Project 1: Terraform Cloud Workspace Automation with GitHub
This streamlines Infrastructure as Code (laC) by integrating Terraform Cloud with GitHub.
Workspaces automatically trigger Terraform runs on code changes, ensuring seamless infrastructure management. Remote state management prevents conflicts in multi-developer environments, while workspace variables enable secure deployments across dev, staging, and production. Sentinel policies enforce compliance before applying changes, enhancing automation, security, and efficiency in infrastructure provisioning.

Project 1: Build a Search Engine using Python
We will build a Functional Search Engine using core Python concepts. The application will allow users to search through a collection of text to retrieve matching results based on keywords. The program will let users type in a word or phrase, and it will look through the files to show where that word appears. This project brings together foundational and advanced Python skills in a practical, real-world scenario.

Project 1: Kubernetes Monitoring with Prometheus and Grafana
We will deploy Prometheus and Grafana on a Kubernetes cluster to monitor system performance and resource utilization. Prometheus will be configured to collect metrics from pods, nodes, and the Kubernetes API using service discovery. You will design interactive Grafana dashboards to visualize CPU, memory, and storage usage. Additionally, alerting rules will be implemented in Prometheus to notify the team about resource over-utilization or critical system states, ensuring proactive monitoring and system reliability.