Project 1: Motor Predictive Maintenance AND HOSTED WITH AMAZ
Tech: Python, Streamlit, Scikit-Learn, AWS EC2, Amazon Linux, Git
- Developed a Machine Learning application to predict motor failures using sensor data.
- Deployed and hosted the Streamlit application on an AWS EC2 instance running Amazon Linux.
- Configured the server and accessed the application through the EC2 public IP. Repository: https://github.com/Derick-Roshan/Predictive_maintanance
Project 2 - Portfolio Website Hosting on AWS EC2, lINUX
Tech: HTML, CSS, AWS EC2, Linux, Git, Github actions.
- Static website deployed on AWS EC2.
- Repository: https://github.com/Derick-Roshan/Portfolio-website
Project 3 - Terraform Web Server Automation
Tech: Terraform, AWS, Git, Github actions
- Automated EC2 provisioning using Terraform.
- Repository: https://github.com/Derick-Roshan/web-server-terraform
Project 4 - Static Website Hosting on Amazon S3
Tech: HTML, CSS, Amazon S3, AWS
- Hosted a static portfolio website using Amazon S3 Static Website Hosting.
- Configured bucket permissions and enabled public access for website hosting.
- Uploaded HTML, CSS, and image assets to the S3 bucket.
- Accessed the website using the S3 static website endpoint.
- Repository: https://github.com/Derick-Roshan/Portfolio-website
CI/CD Pipeline for Web Application Deployment
Tech: Jenkins / GitHub Actions, AWS EC2, Linux, Git
Designed and implemented a CI/CD pipeline for deploying a web application on AWS hosting using AWS EC2. Automated the build and deployment process through GitHub and Jenkins, while also utilizing Terraform automation to configure the Linux server and web service for efficient application hosting.
Static Website Hosting on AWS
Tech: Jenkins / GitHub Actions, AWS EC2, Linux, Git
Hosted a static website using AWS hosting with AWS S3 and configured permissions for public access. Enabled monitoring using CloudWatch and implemented basic security best practices using IAM policies, while also considering the integration of a CI/CD pipeline and Terraform automation for improved deployment efficiency.
