Project

Overview:
This project involved building an internal employee profile management system for XYZ Company using AWS services. New employees could input their details and upload photos, while existing employees could retrieve their information.

Key Objectives:

• Enable seamless employee profile creation and retrieval.
• Store employee data securely in a structured database.
• Automate backend processes for enhanced efficiency.

Technologies & Methodologies Used:

• AWS Services: EC2, RDS (MySQL), DynamoDB, S3, Route 53, ALB, Auto Scaling Group
• Application Logic:
  • Web interface for employee data entry and retrieval
  • RDS MySQL for structured data storage
  • S3 for image hosting and static website delivery
  • Lambda function for real-time notifications via SNS

Outcomes:

• A fully automated and scalable application hosted on AWS.
• Secure and efficient storage of employee data.
• Real-time event handling using AWS Lambda.

Overview:
Implemented a complete DevOps lifecycle for Abode Software to automate their software development and deployment processes.

Key Objectives:

• Automate software deployment through CI/CD pipelines.
• Enable containerization for improved portability.
• Ensure secure and efficient workflow management.

Technologies & Methodologies Used:

• DevOps Tools: Jenkins, Docker, GitHub, AWS CodeBuild
• CI/CD Pipeline Workflow:
  • Job 1: Build – Automates software build
  • Job 2: Test – Runs test cases to ensure reliability
  • Job 3: Deploy – Pushes updates to production
• Containerization: Docker-based web application deployment

Outcomes:

• Faster software release cycles with automation.
• Scalable and reproducible infrastructure setup.
• Secure code deployment with automated testing.

Overview:

This project involves setting up a static website using Nginx and configuring DNS to make it publicly accessible. The implementation includes web server setup, DNS configuration, and SSL security integration to ensure a seamless and secure online presence.

Key Objectives:

• Deploy a static website on an Nginx web server.
• Configure DNS settings to enable domain-based access.
• Implement SSL encryption for secure communication.

Technologies & Tools Used:

• Web Server: Nginx
• Operating System: Ubuntu
• Domain Management: DNS, A Records
• Security: Let’s Encrypt SSL, OpenSSL
• Networking: SCP, SSH
• Validation Tools: Dig command, OpenSSL

Outcomes:

• Successfully deployed a fully functional static website.
• Ensured domain-based accessibility through proper DNS configuration.
• Secured the website with SSL encryption for safe browsing.
• Gained hands-on experience in web hosting, domain management, and security best practices.

Overview

This project focuses on implementing a fully automated DevOps lifecycle for infrastructure monitoring using Prometheus and Grafana. It leverages Terraform for Infrastructure as Code (IaC) and Docker Compose for multi-container deployment, ensuring a scalable and efficient monitoring setup.

Key Objectives

• Automate infrastructure provisioning with Terraform.
• Deploy Prometheus, Alert Manager, Node Exporter, and Grafana as Docker containers using Docker Compose.
• Implement monitoring and alerting for system health and performance.
• Utilize shell scripting and Makefiles for automation.

Technologies & Methodologies Used

• Infrastructure Provisioning: Terraform
• Containerization & Orchestration: Docker, Docker Compose
• Monitoring & Alerting: Prometheus Stack (Prometheus, Grafana, Alert Manager, Node Exporter)
• Automation & Scripting: Shell Scripts, Makefile
• Cloud Deployment: AWS EC2

Outcomes & Benefits

• Automated Deployment: Reduced manual configuration efforts.
• Scalability: Easily reproducible and extendable monitoring setup.
• Improved Observability: Real-time system performance tracking with alerts.
• Enhanced Security: Secure infrastructure provisioning with Terraform.

Overview:

This project involves developing a simple web service that processes user messages and stores them in a Redis server. The functionality is similar to a voicemail system, allowing users to leave messages that can be retrieved later. To ensure scalability and ease of deployment, the application will be containerized using Docker and orchestrated using Kubernetes.

Key Objectives:

• Develop a web service to parse and store user messages in Redis.
• Implement Docker to containerize the application for consistency across environments.
• Deploy and manage the application using Kubernetes for scalability and reliability.
• Ensure seamless message handling and storage within the Redis database.
• Gain hands-on experience with containerization, orchestration, and cloud-native application deployment.

Technologies & Methodologies Used:

• Programming Language: Python, Node.js, or another suitable language.
• Database: Redis for message storage and retrieval.
• Containerization: Docker for creating and managing application containers.
• Orchestration: Kubernetes for deploying and scaling the application.
• DevOps Tools: Kubernetes CLI (kubectl), Helm charts, and CI/CD pipelines for automated deployments.
• Microservices Architecture: Designing the application as a scalable and lightweight service.

Outcomes:

• A fully functional web service capable of receiving, storing, and retrieving user messages.
• Hands-on experience in containerizing applications using Docker.
• Understanding of Kubernetes deployment, scaling, and management.
• Practical knowledge of integrating Redis for message storage.
• A deployable cloud-native application ready for production environments.