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95 repositorios

Awesome GitHub RepositoriesServerless Deployment

Platforms and tools for deploying code to event-driven cloud environments.

Distinguishing note: Focuses on automated synchronization with serverless platforms.

Explore 95 awesome GitHub repositories matching devops & infrastructure · Serverless Deployment. Refine with filters or upvote what's useful.

Awesome Serverless Deployment GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • nousresearch/hermes-agentAvatar de NousResearch

    NousResearch/hermes-agent

    195,049Ver en GitHub↗

    Hermes-agent is an autonomous AI agent framework and runtime designed to execute complex tasks and synthesize new skills from execution traces. It includes a provider-agnostic gateway for routing requests across multiple model backends and a serverless runtime that suspends idle agent instances and resumes them on demand across containers and virtual machines. The project provides a desktop automation toolset that controls native GUI workflows on Linux by querying accessibility APIs and injecting input events. It further distinguishes itself with the ability to generate procedural skills from

    Ships a runtime that suspends idle agent instances and resumes them on demand across containers and VMs.

    Pythonaiai-agentai-agents
    Ver en GitHub↗195,049
  • diygod/rsshubAvatar de DIYgod

    DIYgod/RSSHub

    44,744Ver en GitHub↗

    RSSHub is a headless, server-side engine designed to generate standardized RSS and Atom feeds from websites that do not natively provide them. By acting as an extensible data aggregator, it enables the automated collection of web content, allowing users to monitor updates from disparate sources through centralized feed readers or workflow automation tools. The platform distinguishes itself through a route-based data extraction framework that maps specific URL patterns to custom scraping logic. This modular architecture is supported by a middleware-driven request pipeline and declarative route

    Enables synchronization with serverless cloud platforms to trigger automatic updates.

    TypeScriptbilibilidoubandribbble
    Ver en GitHub↗44,744
  • tooljet/tooljetAvatar de ToolJet

    ToolJet/ToolJet

    38,027Ver en GitHub↗

    ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments. The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries fr

    Deploys application containers to serverless cloud environments with automated configuration.

    JavaScriptai-app-builderdockerhacktoberfest
    Ver en GitHub↗38,027
  • cmliu/edgetunnelAvatar de cmliu

    cmliu/edgetunnel

    26,710Ver en GitHub↗

    Edgetunnel is a serverless network proxy service designed to route traffic through global edge computing platforms. By leveraging distributed infrastructure, it facilitates secure and flexible connectivity for outgoing network requests, allowing users to bypass traditional server management while maintaining control over their traffic routing. The project distinguishes itself by providing a comprehensive suite of tools for managing proxy deployments, including a visual dashboard for monitoring connection logs and traffic statistics. It supports the generation of automated subscription feeds,

    Deploys lightweight proxy services on global edge computing platforms without managing traditional servers.

    JavaScriptv2rayv2ray-workervless
    Ver en GitHub↗26,710
  • alexellis/faasAvatar de alexellis

    alexellis/faas

    26,192Ver en GitHub↗

    This project is a Kubernetes serverless framework and OCI container function platform. It provides a system for deploying event-driven functions and microservices as compatible container images onto a Kubernetes cluster. The platform includes an event-driven function orchestrator that triggers executions via HTTP requests or message streams. It features an auto-scaling function manager that adjusts the number of active instances based on real-time demand and scales down to zero during inactivity. A background queuing system is included to process asynchronous tasks and maintain application re

    Implements a serverless deployment framework specifically designed for event-driven functions on Kubernetes clusters.

    Go
    Ver en GitHub↗26,192
  • serverless-stack/serverless-stackAvatar de serverless-stack

    serverless-stack/serverless-stack

    26,112Ver en GitHub↗

    This project is a serverless full-stack framework and infrastructure-as-code tool designed for deploying and managing full-stack applications. It functions as a cloud-native deployment orchestrator that synchronizes application code and environment variables across frontend content delivery networks and backend API endpoints. The platform enables the deployment of complete application architectures on either private or cloud infrastructure. It allows for the orchestration of self-hosted applications without the need to manage traditional virtual servers. The system covers serverless infrastr

    Provides a platform for deploying application logic into isolated, automatically scaling serverless functions.

    TypeScript
    Ver en GitHub↗26,112
  • pulumi/pulumiAvatar de pulumi

    pulumi/pulumi

    24,797Ver en GitHub↗

    Pulumi is an infrastructure-as-code framework that enables the definition, deployment, and management of cloud resources using general-purpose programming languages. It functions as a cloud resource orchestrator that coordinates the lifecycle of heterogeneous infrastructure by executing code to construct dependency graphs and reconciling the desired state against actual cloud environments. The platform distinguishes itself through a language-host runtime bridge that allows developers to use standard programming languages to define infrastructure, rather than relying solely on domain-specific

    Deploys event-driven functions and serverless architectures across cloud providers using standardized templates.

    Goawsazurecloud
    Ver en GitHub↗24,797
  • apify/crawleeAvatar de apify

    apify/crawlee

    24,002Ver en GitHub↗

    Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob

    Packages scraping logic into isolated, cloud-ready units with managed infrastructure, storage, and proxy support.

    TypeScriptapifyautomationcrawler
    Ver en GitHub↗24,002
  • mastra-ai/mastraAvatar de mastra-ai

    mastra-ai/mastra

    21,221Ver en GitHub↗

    Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

    Automates the deployment of AI-powered services to serverless edge environments like Cloudflare.

    TypeScriptagentsaichatbots
    Ver en GitHub↗21,221
  • leptos-rs/leptosAvatar de leptos-rs

    leptos-rs/leptos

    20,993Ver en GitHub↗

    Leptos is a full-stack Rust web framework designed for building reactive applications that share logic and types between the server and the browser. It provides a comprehensive toolkit for developing web interfaces where specific DOM nodes update automatically in response to changes in underlying reactive signals, rather than re-rendering entire component trees. The framework distinguishes itself through a fine-grained reactivity model that tracks dependencies at the individual data point level. It utilizes compile-time template transformation to convert declarative HTML-like syntax into opti

    Supports deploying applications to event-driven cloud environments and edge-computing platforms.

    Rustdomfine-grainedisomorphic
    Ver en GitHub↗20,993
  • elysiajs/elysiaAvatar de elysiajs

    elysiajs/elysia

    18,531Ver en GitHub↗

    Elysia is a high-performance TypeScript web framework designed for building type-safe backend services. It provides a modular, plugin-based architecture that allows developers to compose server logic, middleware, and validation schemas into scalable application instances. By leveraging native web standards, the framework ensures portability across diverse JavaScript runtimes, including Node.js, Deno, and various edge computing environments. The framework distinguishes itself through its focus on end-to-end type safety, automatically synchronizing request and response definitions between the s

    Adapts server applications to run on edge computing platforms by compiling code for compatibility with serverless runtimes.

    TypeScriptbunframeworkhttp
    Ver en GitHub↗18,531
  • nirdiamant/agents-towards-productionAvatar de NirDiamant

    NirDiamant/agents-towards-production

    17,375Ver en GitHub↗

    This project is a comprehensive framework for developing, orchestrating, and deploying autonomous agents. It provides a structured environment for building agents that utilize reasoning loops to perform multi-step tasks, manage state through graph-based workflows, and interact with external tools. By mapping unstructured model outputs into typed schemas, the framework ensures reliable integration with downstream application logic. The platform distinguishes itself through a focus on production-grade reliability and security. It incorporates hybrid memory systems that combine vector embeddings

    Packages agentic applications into portable containers for scalable, on-demand execution in serverless environments.

    Jupyter Notebookagentagent-frameworkagents
    Ver en GitHub↗17,375
  • vercel/vercelAvatar de vercel

    vercel/vercel

    15,738Ver en GitHub↗

    Vercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure that automates the build process by detecting project frameworks and distributing static and dynamic content through a global content delivery network. The platform executes application logic using serverless functions that scale automatically based on real-time traffic demand. The platform distinguishes itself through a centralized AI gateway that proxies requests to multiple model providers, enabling standardized authentication, observability, and cost tracking. It supports

    Executes application logic in managed environments that scale compute resources automatically based on traffic demand.

    TypeScriptclicloudcommand
    Ver en GitHub↗15,738
  • quarkusio/quarkusAvatar de quarkusio

    quarkusio/quarkus

    15,479Ver en GitHub↗

    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

    Builds and executes cloud-native functions that support dependency injection and standard cloud event triggers within managed environments.

    Javacloud-nativehacktoberfestjava
    Ver en GitHub↗15,479
  • aws/aws-cdkAvatar de aws

    aws/aws-cdk

    12,817Ver en GitHub↗

    The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It

    Creates and manages highly available caching infrastructure automatically without manual capacity planning.

    TypeScriptawscloud-infrastructurehacktoberfest
    Ver en GitHub↗12,817
  • firebase/functions-samplesAvatar de firebase

    firebase/functions-samples

    12,238Ver en GitHub↗

    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

    Deploys managed serverless functions that scale automatically based on traffic demand.

    JavaScriptfaasfaas-platformfirebase
    Ver en GitHub↗12,238
  • miserlou/zappaAvatar de Miserlou

    Miserlou/Zappa

    11,836Ver en GitHub↗

    Zappa is a deployment tool and orchestrator designed to package and deploy Python web applications to AWS Lambda. It functions as a wrapper and framework that adapts standard Python applications to work with serverless infrastructure and API Gateway events. The project enables the hosting of Python web frameworks on serverless environments without requiring the application to be rewritten. It automates the process of pushing code from local environments to the cloud and manages the lifecycle of these deployments to remove manual server management. Its capabilities include automated infrastru

    Deploys Python web applications to AWS Lambda to eliminate manual server management and enable automatic scaling.

    Python
    Ver en GitHub↗11,836
  • notionnext-org/notionnextAvatar de notionnext-org

    notionnext-org/NotionNext

    11,580Ver en GitHub↗

    NotionNext is a static site generator and blog engine that transforms Notion workspace pages into public websites. It functions as a cloud-deployed content management system using the Next.js framework to render data fetched from the Notion API. The system utilizes a template-based layout system to map page categories to predefined visual themes. This allows for the creation of portfolios and blogs where the visual appearance is separated from the content structure. The platform includes automated search engine optimization through metadata-driven sitemap and HTML tag generation. It supports

    Supports deployment to event-driven cloud environments to eliminate dedicated backend server management.

    JavaScriptblognextjsnotion
    Ver en GitHub↗11,580
  • awslabs/chaliceAvatar de awslabs

    awslabs/chalice

    11,062Ver en GitHub↗

    Chalice es un framework de desarrollo en Python para construir y desplegar aplicaciones serverless y APIs REST en AWS. Funciona como una herramienta de microservicios que automatiza el despliegue de código e infraestructura en AWS Lambda y orquesta AWS API Gateway para enrutar solicitudes HTTP a funciones serverless específicas. El framework cuenta con un sistema automatizado que analiza el código fuente para generar los permisos mínimos necesarios de gestión de identidad y acceso (IAM). También proporciona una interfaz de línea de comandos para gestionar el ciclo de vida completo de la aplicación, desde la creación del proyecto y el despliegue hasta la eliminación de recursos en la nube. El proyecto cubre la automatización basada en eventos conectando funciones en la nube a buckets de almacenamiento, colas de mensajes o programaciones periódicas. Además, gestiona la síntesis de infraestructura mediante el mapeo de rutas basado en decoradores y el análisis estático de llamadas a servicios en la nube.

    Facilitates the building and deployment of code to serverless cloud environments.

    Python
    Ver en GitHub↗11,062
  • aws/chaliceAvatar de aws

    aws/chalice

    11,062Ver en GitHub↗

    Chalice is a framework for building and deploying serverless applications and REST APIs on AWS Lambda using Python. It functions as an infrastructure-as-code generator, mapping application logic and routing definitions directly to cloud compute resources while automating the provisioning and management of the underlying environment. The framework distinguishes itself by analyzing source code to automatically construct the minimum necessary security permissions, ensuring least-privilege access for all deployed functions. It supports modular development through blueprint-based organization and

    Automates the mapping of HTTP requests to serverless functions and provisions the necessary cloud infrastructure.

    Pythonawsaws-apigatewayaws-lambda
    Ver en GitHub↗11,062
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Explorar subetiquetas

  • AI Agent Serverless RuntimesPlatforms specifically designed to run and scale AI agents in serverless environments. **Distinct from Serverless Deployment:** Distinct from general Serverless Deployment: focuses on runtimes optimized for AI agent execution, not generic event-driven cloud hosting.
  • Container Image Deployments1 sub-etiquetaDeploys a container image as a serverless workload that automatically manages its lifecycle, routing, and revisions. **Distinct from Serverless Deployment:** Distinct from Serverless Deployment: focuses on deploying container images as serverless workloads with automatic lifecycle management, not general serverless code deployment.
  • Hibernating Serverless RuntimesDeployment platforms that automatically suspend idle resources and resume on demand across containers, VMs, and bare-metal targets. **Distinct from Serverless Deployment:** Distinct from Serverless Deployment: adds automatic hibernation of idle deployments with cross-infrastructure resume capability, not just event-driven cloud hosting.
  • Kubernetes-Native Deployments1 sub-etiquetaServerless deployment strategies specifically implemented for Kubernetes clusters. **Distinct from Serverless Deployment:** Distinct from general Serverless Deployment by requiring a Kubernetes orchestration environment.
  • Model Endpoint Deployments2 sub-etiquetasUploading trained models to create serverless API endpoints for inference requests. **Distinct from Serverless Deployment:** Distinct from general Serverless Deployment: focuses on deploying ML model endpoints, not arbitrary application code.
  • Model Inference DeploymentsDeploying ML model inference workloads to serverless platforms with automatic scaling. **Distinct from Serverless Deployment:** Distinct from Serverless Deployment: focuses on ML model inference workloads, not general application code.
  • Serverless Authorization DeploymentsDeploying authorization logic as functions or sidecar extensions in serverless environments. **Distinct from Serverless Deployment:** Focuses on authorization-specific serverless deployment, rather than general code synchronization.
  • Serverless Layer DeploymentDeploying dependencies as layers in serverless environments to enable data processing. **Distinct from Serverless Deployment:** Distinct from Serverless Deployment: specifically focuses on dependency layer management for data processing rather than general code deployment.
  • Serverless Provisioning1 sub-etiquetaDeploying event-driven functions and serverless architectures using standardized templates. **Distinct from Serverless Deployment:** Distinct from Serverless Deployment: focuses on the provisioning of the underlying serverless infrastructure rather than just code deployment.
  • Stateless Function Deployments1 sub-etiquetaBuilds and deploys stateless function code as a containerized service without requiring Dockerfile or Kubernetes expertise. **Distinct from Serverless Deployment:** Distinct from Serverless Deployment: focuses on deploying stateless functions as containerized services, not general serverless code deployment.