Awesome GitHub RepositoriesCloud Container Deployments

Infisical is a centralized secrets management platform designed to store, synchronize, and control access to sensitive credentials and configuration data across distributed development, staging, and production environments. It employs client-side encryption to ensure that secrets remain unreadable to the underlying storage infrastructure, while providing a hierarchical permission model to govern both user and machine access. The platform distinguishes itself through dynamic credential provisioning, which generates short-lived access tokens that are automatically revoked after use. It supports

This project is a Docker educational resource and a collection of practical examples designed for learning containerization technologies. It serves as a guide for understanding container fundamentals, including the creation and management of custom images and the use of registries. The repository provides specialized references for container security hardening, such as managing kernel privileges and implementing supply chain security. It also includes tutorials for multi-container orchestration and a DevOps guide focused on CI/CD automation and image optimization. The material covers a broad

This project is a recommendation system framework designed for building, evaluating, and operationalizing personalized item suggestion engines. It provides a comprehensive toolkit for implementing collaborative filtering and content-based algorithms, supported by an end-to-end machine learning pipeline for preparing datasets and deploying predictive models. The framework distinguishes itself through the integration of knowledge graphs to provide richer context for recommendations and the use of industry-specific patterns to accelerate system deployment. It also includes a specialized model ev

Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep

Datasette is a tool for publishing and sharing SQLite databases as public websites. It functions as a data publishing system that provides searchable interfaces and JSON APIs to expose the contents of SQLite files. The project enables both server-side and client-side execution. It can operate as an API server or as a database browser that runs entirely within a web browser using WebAssembly, allowing for serverless database access. The system supports a variety of deployment strategies, including containerized images for cloud hosting and a local development server for testing. It includes c

SD.Next is an all-in-one web interface and multi-backend inference engine for generating, editing, and processing images and videos using diffusion models. It functions as a comprehensive tool for diffusion model management and an automated image processing pipeline for bulk operations. The project is distinguished by its hardware-backend abstraction layer, which provides automatic detection and acceleration for NVIDIA CUDA, AMD ROCm, Intel OpenVINO, and DirectML. It features a headless generative API and a programmatic command interface, allowing users to trigger tasks via REST API or CLI wi

This is a step-by-step tutorial that teaches Docker from the ground up, covering how to build images from Dockerfiles, run and manage containers, and connect them on user-defined networks. The guide walks through packaging applications into portable containers and using Docker Compose to define and orchestrate multi-service applications with a single YAML configuration. The curriculum extends into cloud deployment, explaining how to push images to registries like Docker Hub and deploy single-container applications to AWS Elastic Beanstalk as well as multi-container setups to AWS ECS. It also

Ce projet est une bibliothèque de référence et une collection de modèles de code d'exemple pour déployer une infrastructure cloud en utilisant l'AWS CDK. Il fournit un ensemble de projets exemples qui démontrent comment définir des ressources de calcul, de stockage et de réseau en utilisant des langages de programmation à usage général. La bibliothèque inclut des implémentations de référence pour divers modèles architecturaux, notamment des backends serverless avec des API GraphQL et WebSocket, l'orchestration de conteneurs avec des équilibreurs de charge et l'auto-scaling, et l'hébergement de sites web statiques globaux via des réseaux de diffusion de contenu (CDN). Elle fournit également des conceptions pour des topologies réseau isolées et l'automatisation de workflows pilotés par événements en utilisant des machines à états. Les capacités couvertes s'étendent à la gestion de bases de données relationnelles, à la configuration de serveurs de transfert de fichiers sécurisés et à l'implémentation d'une autorisation fine. De plus, les exemples démontrent des techniques de personnalisation d'infrastructure, telles que la surcharge des propriétés de ressources et l'intégration de ressources personnalisées.

This project provides a collection of official base images for building and running .NET applications across various operating systems and hardware architectures. It includes standardized runtime environments, containerized development kits, and specialized images designed for isolated application execution. The collection is distinguished by its focus on image optimization and security hardening. It offers distroless images that remove shells and package managers to reduce the attack surface, as well as composite layering and ahead-of-time compilation to improve startup performance and lower

La bibliothèque cliente Google Cloud Go est un ensemble de paquets Go et un kit de développement logiciel utilisé pour interagir avec les services et API de la plateforme Google Cloud. Elle fournit le moyen principal pour les applications Go de s'intégrer aux points de terminaison des services cloud via des modèles de langage simplifiés et une gestion automatisée des requêtes API. Le projet propose des bibliothèques spécialisées pour gérer l'identité et l'accès via des comptes de service, des clés API et la résolution d'informations d'identification basées sur l'environnement. Il inclut des SDK dédiés pour l'orchestration programmatique des ressources et le déploiement et la gestion de fonctions serverless, de jobs conteneurisés et de services web évolutifs. La surface de capacité de la bibliothèque couvre la gestion des données cloud à travers le stockage relationnel, NoSQL et objet, ainsi que l'orchestration d'infrastructure pour les machines virtuelles et les conteneurs. Elle fournit également des outils pour le développement d'IA générative, l'analyse de données à grande échelle et la surveillance des applications cloud via la capture de logs et le suivi des erreurs.

Practicalnode is a comprehensive educational resource and backend development framework for mastering server-side programming with Node.js. It provides a structured approach to building scalable network services, REST APIs, and real-time applications using asynchronous JavaScript. The project serves as a detailed implementation guide for several core backend patterns, including MongoDB data modeling and the construction of REST API development kits. It emphasizes a specific workflow for Docker containerization and offers a variety of strategies for managing user identity through stateless tok

This project is a comprehensive library of reference implementations and patterns for building web applications using the Go Fiber framework. It provides curated templates and implementation guides for creating REST APIs, web servers, and structured backend services. The repository serves as a practical resource for applying architectural patterns, including Clean and Hexagonal architectures, as well as port-and-adapter decoupling. It offers detailed examples for integrating common web features such as OAuth2 authentication, JWT verification, WebSockets for real-time communication, and server