Awesome GitHub RepositoriesCloud Function Deployers

Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program

This repository provides a comprehensive library of code examples for implementing event-driven, serverless backend architectures. It serves as a practical guide for building scalable cloud-native applications that execute logic in isolated environments, triggered by infrastructure events or HTTP requests rather than persistent server processes. The collection demonstrates how to leverage managed infrastructure to automate backend workflows, including the use of asynchronous task queuing to maintain system stability during high traffic. It highlights patterns for secure API hosting, enabling

Nango is an open-source platform that connects applications to external APIs by managing authentication, data synchronization, and custom function execution. It provides a managed runtime for TypeScript integration functions, handling OAuth flows, credential storage, and token refresh for hundreds of external APIs while keeping secrets isolated from application code. The platform distinguishes itself by exposing integration functions as discoverable tools for AI agents through an MCP server or API, with per-user credential isolation that keeps provider secrets out of the agent loop. It offers

This project is an AI-powered IDE extension and LLM coding assistant that provides a conversational interface for generating, refactoring, and debugging code. It functions as an AI agent framework and a Model Context Protocol client, connecting AI models to external data sources and tools to automate complex development tasks. The system is distinguished by its use of autonomous AI agents capable of multi-step task execution, including the ability to read files, modify code, and run terminal commands iteratively. It supports recursive agent orchestration through subagent delegation and employ

AngularFire is a set of tools for connecting applications to Firebase services. It provides a library of client-side interfaces for managing authentication, object storage, NoSQL databases, and serverless functions. The project utilizes observables and dependency injection to integrate cloud services into the application hierarchy. It features a reactive interface for streaming real-time data, managing document-based databases, and tracking authentication state as a continuous stream of tokens. The platform covers a broad range of cloud capabilities, including identity verification, binary f

Laf is a serverless backend platform that provides an integrated environment for cloud functions, a document database, and file storage. It serves as a complete infrastructure for developing and deploying backend logic, data persistence, and real-time communication without the need for manual server management. The platform features a browser-based IDE that allows developers to write, test, and deploy serverless functions directly within a web editor, removing the requirement for local environment setup. It also includes a WebSocket communication platform for maintaining persistent bidirectio

opennextjs-aws es un adaptador de infraestructura serverless y herramienta de despliegue que transforma los artefactos de build de Next.js en paquetes compatibles para su alojamiento en AWS Lambda y S3. Funciona como un adaptador de despliegue que mapea las salidas específicas del framework a funciones serverless y almacenamiento de objetos. El proyecto se distingue por implementar optimizaciones específicas para serverless, incluyendo un gestor de caché que sincroniza la regeneración estática incremental y las cachés de fetch a través de S3 o DynamoDB. Cuenta con un optimizador de cold start que utiliza minificación de bundles y calentamiento programado de funciones para reducir la latencia, junto con un pipeline de optimización de imágenes dedicado para obtener archivos fuente de S3 y entregarlos a través de CDN. El sistema cubre una amplia gama de capacidades, incluyendo integración de middleware en el edge, revalidación en segundo plano basada en colas y distribución de rutas multi-objetivo. También gestiona el tráfico a través de enrutamiento CDN, inyección de datos de geolocalización y streaming de respuestas del servidor para mejorar el tiempo hasta el primer byte (TTFB). La herramienta proporciona amplias opciones de personalización para pipelines de build, comportamientos de adaptadores y lógica de servidor para soportar necesidades arquitectónicas variadas y estructuras de monorepo.

This project is a set of hands-on labs for practicing cloud development, focusing on implementing web apps, functions, storage solutions, and containerized workloads. It provides a practical framework for developing solutions within the Azure ecosystem. The content covers a wide range of specialized cloud capabilities, including serverless development with HTTP and timer triggers, container orchestration using apps and instances, and API management for routing and transforming traffic. It also emphasizes identity and access management through OpenID Connect and managed identities. Additional

El AWS Lambda Runtime Interface Emulator es un servidor proxy diseñado para replicar el entorno de ejecución serverless basado en la nube dentro de un contenedor local. Funciona como una interfaz ligera que permite a los desarrolladores verificar la lógica de la función, el rendimiento y la integración de API simulando el plano de control remoto y el modelo de invocación de eventos en una máquina local. La herramienta opera interceptando solicitudes HTTP y traduciéndolas en los payloads de eventos JSON estructurados que esperan los manejadores de funciones serverless. Gestiona el ciclo de vida de la función a través de un bucle de eventos síncrono y mapea las configuraciones locales, incluyendo credenciales de seguridad y metadatos, directamente en el espacio de proceso del contenedor para asegurar la paridad con los entornos de producción. Más allá de las pruebas de funciones estándar, el emulador admite la validación de extensiones y agentes personalizados al proporcionar una implementación funcional de la interfaz de runtime. Esto permite probar aplicaciones serverless contenerizadas y sus componentes asociados antes de que sean desplegados en la nube.