A System Metrics Monitoring Tool Built using Python3 , rabbitmq,Grafana and InfluxDB. Setup using docker compose. Use to monitor system performance with graphical interface of grafana , storage of influxdb and message queuing of rabbitmq

DevOps All Projects Lists with Descriptions.

Real-time Cricket Score Application with Kubernetes Deployment

Google Cloud DevOps Project: Deploying a Live Weather App on Cloud Run

𝘼 𝙧𝙚𝙥𝙤 𝙩𝙤 𝙝𝙚𝙡𝙥 𝙮𝙤𝙪 𝙋𝙧𝙖𝙘𝙩𝙞𝙨𝙚 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙛𝙧𝙤𝙢 𝙩𝙝𝙚 𝙜𝙧𝙤𝙪𝙣𝙙 𝙪𝙥 𝙗𝙮 𝙙𝙤𝙞𝙣𝙜 𝙥𝙧𝙖𝙘𝙩𝙞𝙘𝙖𝙡 𝙍𝙚𝙖𝙡𝙩𝙞𝙢𝙚 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙖𝙣𝙙 𝙩𝙚𝙖𝙘𝙝 𝙮𝙤𝙪 𝙝𝙤𝙬 𝙩𝙤 𝙪𝙨𝙚 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙩𝙤 𝙙𝙚𝙥𝙡𝙤𝙮, 𝙢𝙖𝙣𝙖𝙜𝙚, 𝙖𝙣𝙙 𝙨𝙘𝙖𝙡𝙚 𝙘𝙤𝙣𝙩𝙖𝙞𝙣𝙚𝙧𝙞𝙯𝙚𝙙 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨.

AWS DevOps Real-Time Deployment - Dev → Pre-PROD → Production

🔁 DevOps Project

Developed a Notes Keeping Web App using HTML, CSS and JavaScript, implemented the DevSecOps practices for deploying on Docker and Kubernetes using Jenkins CI/CD Pipeline.

DevOps Capstone Project 2 - Automate the CI/CD Pipeline Without Changes In The Docker Containers

Implementing End-to-End CI/CD, IaC, and Monitoring using Kubernetes, GitOps (Argo CD), GitHub Actions, Terraform, AWS EKS, Prometheus, Grafana, and Kubecost.

Automating CI/CD Pipeline with Jenkins, SonarQube, Docker & AWS

This project demonstrates a complete DevSecOps pipeline with Infrastructure as Code (Terraform), Continuous Integration (Jenkins), Continuous Deployment (ArgoCD with GitOps), container security scanning (Trivy, SonarQube), and Kubernetes cluster provisioning on AWS EKS. It includes best practices for security, automation, and monitoring.

𝘼 𝙧𝙚𝙥𝙤 𝙩𝙤 𝙝𝙚𝙡𝙥 𝙮𝙤𝙪 𝙋𝙧𝙖𝙘𝙩𝙞𝙨𝙚 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙛𝙧𝙤𝙢 𝙩𝙝𝙚 𝙜𝙧𝙤𝙪𝙣𝙙 𝙪𝙥 𝙗𝙮 𝙙𝙤𝙞𝙣𝙜 𝙥𝙧𝙖𝙘𝙩𝙞𝙘𝙖𝙡 𝙍𝙚𝙖𝙡𝙩𝙞𝙢𝙚 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙖𝙣𝙙 𝙩𝙚𝙖𝙘𝙝 𝙮𝙤𝙪 𝙝𝙤𝙬 𝙩𝙤 𝙪𝙨𝙚 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙩𝙤 𝙙𝙚𝙥𝙡𝙤𝙮, 𝙢𝙖𝙣𝙖𝙜𝙚, 𝙖𝙣𝙙 𝙨𝙘𝙖𝙡𝙚 𝙘𝙤𝙣𝙩𝙖𝙞𝙣𝙚𝙧𝙞𝙯𝙚𝙙 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨.

Springboot Fullstack Application Deployment on AWS, Infrastructure Automation with Terraform + Ansible

This repository provides a step-by-step guide to deploying a Java application on AWS using a 3-tier architecture with EC2, Tomcat, MySQL, RabbitMQ, and Memcached.

In this project, I built a fully automated CI/CD pipeline to deploy a two-tier Flask application (Flask + MySQL) on AWS EC2 using Jenkins, Docker, and Docker Compose. It integrates GitHub for version control and ensures seamless, reliable, and hands-free deployments.