PROJECTS Deploying Multi-Tier Website Using AWS EC2 Deploying a PHP website that receives data from the user and stores that data in RDS MySQL Database. The entire architectureis scalable due to the Auto Scaling of servers and is highly available. Data stored in RDS is highly secured, encrypted, and manages failover. It can only be accessed by an authorized database admin. Architecture for New Employee Profile Database Deploying a Python-based web application i.e. Employeedatabase and media storage application using the most prominently used AWS Services in the industry such as EC2, ELB,VPC, S3, IAM, RDS, DynamoDB, Route53, etc. Application Server is hosted privately and can only be accessed by the Company's Employees. It can be accessed using domain names using Route53 and Freenom. Application Deployment Using CI/CD Tools Implemented a git workflow architecture and used Jenkins jobs to deploy a container on specific ports for different branches, including the develop branch for testing the Dockerfile, the master branch for testing the final version of the Dockerfile, and the production server for the final release of the product. The process was automated using Jenkins, Git, and Docker. Deployment of Fabrication using Orchestration, Containerization, and IAC Tools Automated containerized application deployment using Git, Docker, Jenkins, Kubernetes, and Terraform. Built the cloud infrastructure in AWS, configuring servers with Configuration Management tools, and implementing CI/CD pipelines with Jenkins. Used Kubernetes to create clusters and services, containerizing applications with Dockerfile, and adhering to git workflow architecture.