Cloud & DevOps Projects

Note: For my other new projects, check;


Ln-D07-Full CI/CD pipelines for microservices, based java dynamic web applications with database.


CI/CD pipelines for microservices, based java dynamic web applications with database. Having profile: Testing/Staging/Production. Using Devops Tools (Kubernetes, Docker, DockerCompose, Jenkins, Maven, Nexus, Ansible, Selenium, Rancher, Prometheus, Grafana, Git, Github, Terraform) and AWS Tools (ECS, ECR, R53, EC2, VPC's Components) and Deploying the Spring Web App on it. This project aims to create full CI/CD Pipelines for microservice based applications. Jenkins Server deployed on Elastic Compute Cloud (EC2) Instance is used as CI/CD Server to build pipelines.


Ln-A07-Blog-Page-Application-with-Database-securely-deployed-on-AWS-Cloud


Blog Page Application (Django) with Database securely deployed on AWS Cloud, using AWS Tools (Load Balancer, Auto Scaling, S3, Relational Database Service(RDS), NAT Instance, Bastion Host, Lambda, DynamoDB, Cloudfront, Route 53, VPC's Components (Subnet, Internet Gateway, Endpoint, Route Table), Amazon WAF & Shield). The Blog Page Application aims to deploy blog application as a web application written Django Framework on AWS Cloud Infrastructure. This infrastructure has Application Load Balancer with Auto Scaling Group of Elastic Compute Cloud (EC2) Instances and Relational Database Service (RDS) on defined VPC. Also, The Cloudfront and Route 53 services are located in front of the architecture and manage the traffic in secure. User is able to upload pictures and videos on own blog page and these are kept on S3 Bucket.

Ln-D03-Microservice Architecture for Phonebook Web Application (Python Flask) with MySQL using Kubernetes.

Phonebook Microservice Web Application aims to create a web application with MySQL Database using Docker and Kubernetes to give students the understanding of Microservice architecture. In this application, we have a frontend service and a backend service to interact with database service. Each service will be managed by a Kubernetes deployment. The backend service will be a gateway for the application and it will serve the necessary web pages for create, delete and update operations while the frontend service will serve a search page in order to conduct read operations. To preserve the data in the database, persistent volume and persistent volume claim concepts should be adopted.

Ln-D04-Ansible-Project-Web-Page-App-deployed-on-EC2-with-Ansible-and-Docker

The Web-Page Application aims to deploy web-page written Nodejs and React Frameworks on AWS Cloud Infrastructure using Ansible. Building infrastructure process is managing with control node utilizing Ansible. This infrastructure has 1 control node and 3 EC2's as worker node. These EC2's will be launched on AWS console. Web-page has 3 main components which are postgresql, nodejs, and react. Each component is serving in Docker container on EC2s dedicated for them. Postgresql is serving as Database of web-page. Nodejs controls backend part of web-side and react controls frontend side of web-page. The code was written by Developers and architecture will be created by AWS & DevOps Team.


Ln-D02-Dockerization_of_Bookstore_Web_API-Flask-using-DevOps-Tools



Bookstore Web API Application aims to create a bookstore web service using Docker to give students the understanding to dockerization of an application. The application code is to be deployed as a RESTful web service with Flask using Dockerfile and Docker Compose on AWS Elastic Compute Cloud (EC2) Instance using AWS Cloudformation Service.


Ln-A06-Deployment of Website on AWS using Cloudfront, S3, Route-53, Cloudformation


Web pages is a static website application deployed on AWS Simple Storage Service (S3), served through Cloudfront and Route 53 using AWS Cloudformation Service.

Ln-A04-Phonebook Application (Python Flask) deployed on AWS Application Load Balancer with Auto Scaling and Relational Database Service using AWS Cloudformation

The Phonebook Application aims to create a phonebook application in Python and deployed as a web application with Flask on AWS Application Load Balancer with Auto Scaling Group of Elastic Compute Cloud (EC2) Instances and Relational Database Service (RDS) using AWS Cloudformation Service.