M

MySQL/MariaDB

CryptoLyzer is a fast, flexible, and comprehensive server cryptographic protocol (TLS, SSL, SSH, DNSSEC) and related setting (HTTP headers, DNS records) analyzer and fingerprint (JA3, HASSH tag) generator with Python API and CLI.

This project demonstrates two DevOps automation approaches for deploying a simple Flask-based To-Do List application that mimics a LAMP stack but uses Docker containers instead of a traditional Apache/PHP environment.

The goal is to give hands-on experience with core DevOps tools including:

Terraform: to provision infrastructure or manage Docker resources

Ansible: to configure remote hosts and deploy containers

Docker: to containerize and run the application

GitLab CI/CD: to automate testing, provisioning, and deployment pipelines

The To-Do app is built using Flask (Python) with a MySQL database and supports basic CRUD operations.

This is a 3-person collaborative project, divided into two main tracks:

🔹 Project 1: todo-terraform-docker Deploy the Flask + MySQL app entirely using Terraform’s Docker provider — no Ansible, no VM provisioning. This is ideal for fast, local development and demonstrates infrastructure-as-code at the container level.

🔹 Project 2: ansible-todo-deployer Use Ansible to install Docker and deploy the containerized app on a remote VM (can be provisioned manually or via Terraform). This approach simulates a production-like environment where a host must be configured from scratch.

Both projects use GitLab CI/CD for automated execution.

Pagination for incoming data source. Consuming/manipulating rest api, database data. Vanilla PHP.

Application for matching user names vs rest api for predicting age/gender on names. Database pre filled data. Listing data. Filter existing database data for people using external api-endpoint. Format the incoming data. Save the filtered data into DB. Display the data into a table.

Uma simples estrutura lamp stack feita com docker-compose

"Cloud container data analytics, statistical modeling, and machine learning on distributed databases". "A free opensource alternative to SPSS, SAS, MATLAB, PowerBI, Tableau and Alteryx". Runs on Linux, Windows, MacOS, and in the cloud via containers.