Application Architecture

The objective of this project is to design and deploy a scalable and highly available 3-tier application on AWS, Virtual Private Cloud. The architecture will include an Application Load Balancer to distribute traffic, Auto Scaling Groups (ASGs) for automatic scaling, and a robust backup plan to ensure data resilience.

Automating Deployment

The purpose of this project is to automate the deployment process of a MERN (MongoDB, Express, React, Node) stack application on AWS by creating pipeline through github action/Jenkins. By implementing this automation, developers can save time and effort in deploying their MERN applications.

Dockerized Microservices

The Dockerized Microservices on Kubernetes project aims to build a microservices-based architecture using Docker containers and deploy them on Kubernetes. Additionally, the project focuses on automating the CI/CD pipeline using Jenkins and GitHub, providing a seamless development and deployment workflow.

An OTT Platform

Deploying OTT-based platforms and scaling up to handle millions of concurrent users. The project includes the deployment architecture design to automate scaling up of microservice based applications while keeping the cost at check.

Application Deployment and Scaling

Deploying and creating the scalable architecture of a live game which requires low latency between users coming from different parts of the world. The game server needs continuous updation initially (one update per week), so need to create CI-CD pipeline to update while having 0 downtime (Blue-Green deployment).

A Gaming Company

Deploying and creating the scalable architecture of a live game which requires low latency between users coming from different parts of the world. The game server needs continuous updation initially (one update per week), so need to create CI-CD pipeline to update while having 0 downtime (Blue-Green deployment).

An EdTech Company

Deploying a traditional LMS system created on MEAN stack. The architecture needs to be cost effective given many modules need higher computing resources occasionally while needing to control the cost of the usage of these resources.