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ativ5-m7's Introduction

Ativ5-m7

Saída esperada após execução do programa:

Vídeo Demo

Descrição:

  • Foi utilizado para cumprir a tarefa foi utilizado um ec2 t3.large configurado apenas com uma instalação de docker engine e com ip elástico. Além disso, támbém utilizamos um RDS configurado com um banco postgres.

Backend:

  • Para o backend foi utilizado fastapi junto com o sqlalchemy, pycaret e pandas para fazer o fluxo de predição, login, cadastro e vicualizações de gráficos. A imagem resultante foi subida no docker hub:

https://hub.docker.com/repository/docker/henriquemarlon/ativ5-m7-backend/general

Frontend:

  • Para o frotend foi utilziado warp um framework de rust para servir aplicações frontend, ao final a imagem tbm foi subida no docker hub:

https://hub.docker.com/repository/docker/henriquemarlon/ativ5-m7-frontend/general

AWS:

  • Na AWS rodamos os comandos para dar pull nas imagens e o comando para rodar o backend (porta 8080) e o frontend (porta 3000).

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