Awesome GitHub RepositoriesInfrastructure as Code Practices

This project is an open-source educational curriculum designed to provide comprehensive training in data engineering. It focuses on building scalable data pipelines and managing cloud-native infrastructure through a structured, self-paced program that combines technical explanations with hands-on practical exercises. The curriculum distinguishes itself by emphasizing industry-standard methodologies, specifically teaching students how to implement infrastructure as code and manage data workflows through orchestration tools. By utilizing container-based environment isolation and declarative con

Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative modeling and version-controlled code. It functions as a workflow engine that treats data assets as first-class primitives, allowing teams to define, schedule, and monitor complex pipelines while maintaining clear visibility into lineage, dependencies, and data quality. The platform distinguishes itself by using a code-as-configuration framework that enables standard software engineering practices, such as unit testing and local mocking, to be applied directly to data workflows.

This repository serves as a library of reference patterns and scripts for infrastructure automation and configuration management. It provides a collection of standardized examples designed to demonstrate how to define and maintain server environments as code, ensuring consistency across development, testing, and production stages. The project focuses on implementing infrastructure as code best practices by showcasing how to structure automation logic for complex deployments. These examples illustrate the use of declarative modeling to define desired system states, alongside modular task abstr

Fleet is an open-source device management platform that provides centralized control over computing devices running macOS, Linux, Windows, Chromebooks, iOS, and Android. It enables organizations to enroll devices, collect real-time telemetry, enforce security compliance policies, and manage software remotely from a single system. The platform can be deployed as a single binary, run locally for testing, or scaled horizontally across cloud infrastructure on AWS, Kubernetes, GCP, or Render, with support for high availability through database replication and load balancing. The platform distingui

TFLint es una herramienta de análisis estático y validador de infraestructura como código diseñada para identificar errores y aplicar mejores prácticas dentro de los archivos de configuración de Terraform. Funciona como una puerta de calidad para flujos de trabajo automatizados y un servidor de lenguaje que proporciona diagnósticos en tiempo real y errores de linting directamente dentro de los editores de texto compatibles. El proyecto utiliza un framework de plugins gRPC que permite la integración de reglas de validación específicas del proveedor personalizadas a través de binarios independientes y un SDK dedicado. Esta arquitectura separa la lógica de linting central de la validación específica de la nube, admitiendo la instalación automatizada de conjuntos de reglas externos para verificar las propiedades de los recursos contra las especificaciones oficiales. El motor de análisis resuelve los valores de configuración y evalúa las funciones integradas, expandiendo bloques dinámicos y colecciones de recursos para inspeccionar la estructura instanciada final. Cubre la aplicación de estándares de codificación, análisis de llamadas a módulos y la detección de atributos de recursos no válidos, con la capacidad de exportar resultados estructurados en formatos como SARIF. La herramienta incluye una interfaz de línea de comandos para el filtrado de objetivos de análisis y proporciona corrección automática de problemas para las reglas admitidas.