Proyecto para el curso Seguridad Informática(IS-444). Aplicación de ejemplo para un servidor de alta disponibilidad.

Airflow-powered pipeline using Docker, PostgreSQL (AWS RDS), and AWS S3 for ELT operations on yearly weather data from (https://ncei.noaa.gov), focusing on stations in Germany.

AWS User Group Nashik's web backend written with Django. Hosted on AWS as a lambda function, and utilizes AWS RDS Postgres as a DB.

A blogging website built using the Django framework for creating and sharing articles on space exploration, satellite technology, and astronomy.

InsurNative is a mobile application developed using Django for the backend and React Native for the frontend.

thewhiskyexchange webscraper project running in the cloud with CI/CD

12 weeks AWS Cloud Project Bootcamp 2023 from Andrew Brown - ExamPro.co

O projeto foi elaborado com o objetivo de estabelecer uma arquitetura na AWS, originada a partir de uma migração de um banco de dados existente em um ambiente local (on-premise).

Infrastructure as a code using Pulumi in Python on AWS

Web app to evaluate the time complexity of divide and conquer algorithms using the Master Theorem and visualize the results (Python/Django, Typescript/React, Postgres, Docker, AWS Elastic Beanstalk, AWS RDS, Github Actions CI/CD).

A simple Flask app for CCE (Cloud Container Engine)

This project demonstrates how easily CRUD APIs (REST) can be created to simulate the order service using AWS lambda, API Gateway and RDS

CloudGallery is a web application with user login and registration feature which allows user's to upload, download, update the files. CloudAdmin feature where admin can view , edit and delete files updated by any user.

AWS micro services based Backend of Torium - mobile app for managing group of users and send them periodical reminders (PUSH, SMS, Email)

A project demonstrating an ETL pipeline primarily using AWS infrastructure into a data warehouse

The project aims to develop a real-time analysis system using Apache Kafka and Apache Spark with cloud-based architecture.The system will collect real-time data and stream the data into Kafka. Apache Spark will then be used to process and analyze the data in real-time.The processed data will be visualized using appropriate visualizations and graphs

RDS Extended Support Cost Estimator Script

Installer source for SimpleIOT back-end.

An end-to-end data pipeline for building Data Lake and supporting report using Apache Spark.