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154 个仓库

Awesome GitHub RepositoriesCloud Deployment

Integrations for deploying services to major cloud providers.

Distinguishing note: Focuses on multi-cloud deployment support.

Explore 154 awesome GitHub repositories matching devops & infrastructure · Cloud Deployment. Refine with filters or upvote what's useful.

Awesome Cloud Deployment GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • tooljet/tooljetToolJet 的头像

    ToolJet/ToolJet

    38,027在 GitHub 上查看↗

    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

    Launches containerized services on cloud infrastructure by configuring networking, environment variables, and database connections.

    JavaScriptai-app-builderdockerhacktoberfest
    在 GitHub 上查看↗38,027
  • eugenp/tutorialseugenp 的头像

    eugenp/tutorials

    37,340在 GitHub 上查看↗

    This project is a collection of educational resources and step-by-step tutorials for Java backend development. It provides implementation guides for building web services and applications using the Spring Boot framework, focusing on the development of data streams and concurrent tasks. The repository includes technical walkthroughs for Kubernetes cluster automation, specifically regarding the creation of custom operators and admission controllers. It also serves as a manual for cloud native integration, covering the packaging of applications into containers and the use of distributed event me

    Provides patterns for packaging applications into containers and deploying them to cloud-native environments.

    Java
    在 GitHub 上查看↗37,340
  • chatwoot/chatwootchatwoot 的头像

    chatwoot/chatwoot

    31,959在 GitHub 上查看↗

    Chatwoot is a self-hosted, omnichannel customer support platform designed to aggregate messages from diverse social and digital channels into a single, collaborative team inbox. It provides organizations with full data ownership and control over their support infrastructure, ensuring strict logical separation of customer data through multi-tenant architecture. By centralizing communication, the platform enables teams to manage, route, and resolve inquiries within a unified workspace that maintains complete interaction history for every contact. The platform distinguishes itself through an eve

    Supports installation on managed cloud services for simplified maintenance and scalability.

    Rubyactioncablechat-widgetconversation
    在 GitHub 上查看↗31,959
  • trailofbits/algotrailofbits 的头像

    trailofbits/algo

    30,278在 GitHub 上查看↗

    Algo is a cloud VPN deployment tool and WireGuard orchestrator designed to automate the provisioning and configuration of personal VPN servers across multiple cloud infrastructure providers. It functions as a multi-cloud infrastructure provisioner and a VPN client configuration generator, creating the necessary tunnels and connection profiles for secure device connectivity. The project distinguishes itself by integrating a network ad-blocking DNS server directly into the deployment, filtering advertisements and malicious domains for all connected clients. It further simplifies the onboarding

    Installs a VPN to a supported cloud provider using a browser-based terminal.

    Pythonansibleencryptionikev2
    在 GitHub 上查看↗30,278
  • mongodb/mongomongodb 的头像

    mongodb/mongo

    28,158在 GitHub 上查看↗

    This project is a distributed, document-oriented database system designed to store information in flexible, hierarchical structures. It supports horizontal scaling through automated sharding and maintains high availability across global clusters using a multi-node replication protocol. By executing multi-document operations as atomic units, the system ensures data integrity and consistency across distributed environments. The platform distinguishes itself by integrating advanced vector-based indexing, which enables semantic similarity searches alongside traditional geospatial and lexical quer

    Enables multi-cloud deployment strategies to maintain high availability and performance across different cloud providers.

    C++c-plus-plusdatabasemongodb
    在 GitHub 上查看↗28,158
  • yeasy/docker_practiceyeasy 的头像

    yeasy/docker_practice

    26,111在 GitHub 上查看↗

    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

    Includes strategies for coordinating containerized workloads across multiple cloud providers to ensure redundancy.

    Gobookcloud-computingcontainer
    在 GitHub 上查看↗26,111
  • serverless-stack/serverless-stackserverless-stack 的头像

    serverless-stack/serverless-stack

    26,112在 GitHub 上查看↗

    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

    Manages the deployment of complete full-stack application architectures to cloud hosting environments.

    TypeScript
    在 GitHub 上查看↗26,112
  • vapor/vaporvapor 的头像

    vapor/vapor

    26,138在 GitHub 上查看↗

    Vapor is a comprehensive server-side web framework designed for building scalable, high-performance applications and APIs in Swift. It provides a non-blocking, event-loop-based runtime that manages concurrent task processing, background job queues, and asynchronous request handling. The framework is built around a dependency injection container that manages the lifecycle and resolution of services, configurations, and database connections throughout the request pipeline. The framework distinguishes itself through a protocol-oriented design that emphasizes type safety across all layers of the

    Supports deployment to standard cloud server environments.

    Swiftframeworkhttphttp2
    在 GitHub 上查看↗26,138
  • apify/crawleeapify 的头像

    apify/crawlee

    24,002在 GitHub 上查看↗

    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 and uploads local automation scripts to a managed infrastructure for remote execution and scheduling.

    TypeScriptapifyautomationcrawler
    在 GitHub 上查看↗24,002
  • sanster/iopaintSanster 的头像

    Sanster/IOPaint

    23,244在 GitHub 上查看↗

    IOPaint is an AI image editor and Stable Diffusion inpainting tool providing a web interface for removing objects and replacing image content. It utilizes latent diffusion image processing to synthesize high-resolution replacements for erased sections of an image. The project features a specialized AI background remover for isolating subjects and an AI image upscaler that employs super-resolution models for general photos and anime artwork. The software covers a broad range of capabilities including image segmentation for object isolation, face restoration for improving facial details, and t

    Provides processes for hosting the application on external cloud platforms for remote web access.

    Pythoninpaintinglamalatent-diffusion
    在 GitHub 上查看↗23,244
  • jina-ai/servejina-ai 的头像

    jina-ai/serve

    21,859在 GitHub 上查看↗

    Serve is a multimodal AI orchestrator and inference server designed for deploying and scaling machine learning models as cloud-native services. It functions as a containerized workflow engine and distributed service mesh that routes multimodal data through connected execution units. The framework provides specialized capabilities for large language models, including a token streaming gateway that delivers generated text incrementally to reduce perceived latency. It distinguishes itself by enabling the chaining of executors into complex data processing pipelines and the orchestration of these

    Simplifies the process of pushing services to managed cloud platforms using standardized configuration files.

    Pythoncloud-nativecncfdeep-learning
    在 GitHub 上查看↗21,859
  • jina-ai/jinajina-ai 的头像

    jina-ai/jina

    21,858在 GitHub 上查看↗

    Jina is a cloud-native framework for building and deploying multimodal AI applications that process text, images, and audio across distributed microservices. It functions as an inference orchestrator and a distributed model gateway, providing a containerized stack to organize AI executors into operational pipelines. The system manages large language model workloads through token-streamed response delivery and dynamic batching to increase hardware throughput. It utilizes a protocol-agnostic communication layer to route data across different machine learning frameworks. The framework covers hi

    Integrates with cloud providers to facilitate one-click deployment of AI service clusters.

    Python
    在 GitHub 上查看↗21,858
  • apache/mxnetapache 的头像

    apache/mxnet

    20,829在 GitHub 上查看↗

    This project is a deep learning framework designed for constructing, training, and deploying neural networks across diverse hardware environments. It functions as a high-performance tensor computation library that provides both imperative and symbolic programming interfaces, allowing developers to balance flexible, step-by-step model building with the efficiency of compiled computation graphs. The framework distinguishes itself through a hybrid execution engine that integrates declarative graph compilation with imperative runtime logic. It supports scalable, distributed training across multip

    Executes trained models within managed cloud environments to provide scalable inference capabilities.

    C++mxnet
    在 GitHub 上查看↗20,829
  • googlecloudplatform/microservices-demoGoogleCloudPlatform 的头像

    GoogleCloudPlatform/microservices-demo

    20,492在 GitHub 上查看↗

    This project is a Kubernetes microservices reference architecture implemented as a functional cloud-native e-commerce demo. It serves as a distributed systems testbed designed to demonstrate cloud-native deployment patterns, orchestration, and the interaction of independent services. The system showcases a polyglot service implementation using high-performance communication via gRPC and REST. It integrates generative AI for image analysis and product recommendations, and implements a service mesh to manage traffic, security, and observability between services. The application covers e-commer

    Implements a reference architecture for containerized microservices deployed and orchestrated on Kubernetes.

    Go
    在 GitHub 上查看↗20,492
  • verekia/js-stack-from-scratchverekia 的头像

    verekia/js-stack-from-scratch

    20,179在 GitHub 上查看↗

    This project is a JavaScript full-stack tutorial providing a step-by-step guide to building a complete web application from scratch. It focuses on the manual implementation of a custom JavaScript toolchain, encompassing the development of a server-side rendering workflow and a client-side state manager. The project distinguishes itself by implementing core development utilities without high-level frameworks, including custom solutions for bundling, transpilation, linting, and hot module replacement. It also features a real-time communication system based on WebSockets for bidirectional messag

    Provides automated build scripts and configurations to publish the application to a cloud PaaS provider.

    JavaScript
    在 GitHub 上查看↗20,179
  • microsoft/onnxruntimemicrosoft 的头像

    microsoft/onnxruntime

    19,347在 GitHub 上查看↗

    This project is a cross-platform machine learning inference engine designed to execute pre-trained models across diverse operating systems and hardware environments. It functions as a standardized execution framework that manages the entire lifecycle of model inference, from loading and graph optimization to hardware-accelerated execution and generative sequence management. The runtime distinguishes itself through a highly modular architecture that decouples model logic from hardware-specific kernels. By utilizing an execution provider abstraction, it enables developers to offload computation

    Packages machine learning models and scoring logic into scalable web services to provide real-time predictions via network requests.

    C++ai-frameworkdeep-learninghardware-acceleration
    在 GitHub 上查看↗19,347
  • meta-llama/llama-cookbookmeta-llama 的头像

    meta-llama/llama-cookbook

    18,375在 GitHub 上查看↗

    This project is a collection of implementation guides, recipes, and developer resources for building applications with Llama models. It serves as a comprehensive kit for developing autonomous agents, establishing retrieval-augmented generation systems, and executing model fine-tuning. The resource provides specific patterns for multimodal workflows that process text, images, and audio. It includes specialized guidance on adapting pre-trained model weights for targeted tasks and implementing tool-calling orchestration to connect models with external APIs and functions. The codebase covers a b

    Configures model inference and workflows on cloud providers using serverless APIs and GPU clusters.

    Jupyter Notebookaifinetuninglangchain
    在 GitHub 上查看↗18,375
  • iii-hq/iiiiii-hq 的头像

    iii-hq/iii

    18,238在 GitHub 上查看↗

    iii is a distributed service orchestrator and event-driven workflow engine designed to compose and manage cross-language functions and workers through a central execution engine. It functions as a multi-language service mesh and WebSocket service gateway, providing a persistent communication layer for remote service workers. The platform enables dynamic runtime extensions, allowing new workers and capabilities to be deployed and registered into a live environment without requiring system restarts. It distinguishes itself by offering machine-readable skill exposure and agent capability integra

    Handles the full lifecycle of remote deployments by creating, updating, and deleting service instances in cloud environments.

    Rust
    在 GitHub 上查看↗18,238
  • wasp-lang/waspwasp-lang 的头像

    wasp-lang/wasp

    18,146在 GitHub 上查看↗

    Wasp is a declarative full-stack web framework that enables developers to build and deploy applications by defining their architecture in a centralized configuration. By using a high-level specification, the framework automates the orchestration of frontend, backend, and database components, ensuring that infrastructure concerns like routing, authentication, and data modeling are handled consistently across the entire stack. The framework distinguishes itself through its compiler-driven approach, which translates declarative configurations into cohesive, production-ready codebases. It provide

    Automates the configuration and publication of full-stack applications to cloud hosting providers.

    TypeScripthaskelljavascriptnode
    在 GitHub 上查看↗18,146
  • alsotang/node-lessonsalsotang 的头像

    alsotang/node-lessons

    16,450在 GitHub 上查看↗

    node-lessons is a comprehensive Node.js programming course and instructional guide. It provides a collection of guided lessons and code examples designed to teach the fundamentals of the Node.js runtime and server-side JavaScript development. The project serves as a practical guide for building web servers and backend applications, specifically covering the implementation of HTTP servers, request routing, and middleware chains. It includes specialized instructional material on managing asynchronous JavaScript workflows through promises and flow control, as well as guides for integrating NoSQL

    Explains the process of pushing full applications to cloud hosting environments and integration services.

    JavaScriptjavascriptnodejs
    在 GitHub 上查看↗16,450
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  1. Home
  2. DevOps & Infrastructure
  3. Cloud Deployment

探索子标签

  • AI Deployment FrameworksSets of configurations and tools for deploying AI-specific workloads to the cloud. **Distinct from Cloud Deployment:** Focuses on the holistic framework for AI workloads rather than generic cloud provider integrations.
  • Cloud Foundry DeploymentsAutomated deployment of build artifacts specifically to Cloud Foundry environments. **Distinct from Cloud Deployment:** Distinct from general Cloud Deployment by targeting the Cloud Foundry PaaS specifically.
  • Cloud OS DeploymentsProcesses for installing and configuring hardened Linux distributions specifically for cloud environments. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: focuses on the deployment of the operating system itself rather than applications or services.
  • Cloud Service DeployersTools for mapping application endpoints to cloud-native service triggers. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: focuses on the specific mapping of REST and reactive endpoints to cloud function triggers.
  • Cloud-Agnostic Containerization1 个子标签Packaging applications in containers to ensure consistent deployment across any cloud infrastructure provider. **Distinct from Cloud Deployment:** Focuses specifically on the container-based agnostic deployment model rather than general cloud integration.
  • Federated Application DeploymentsDeploys independently built micro frontends to the cloud during the build process with zero configuration. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: specifically deploys federated micro frontends, not general cloud deployments.
  • GPU Training DeploymentsDeployment of simulation and learning pipelines to cloud infrastructure for GPU-accelerated training without local hardware. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: specifically targets GPU-accelerated training workloads, not general application hosting.
  • Guided Cloud Deployments1 个子标签Deploys and operates production cloud environments with guided installation and configuration of all services. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: focuses on guided deployment of the entire cloud platform, not just deploying services to a cloud provider.
  • Guided Production DeploymentsDeploys and operates cloud services for a production environment with guided installation steps. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: focuses on guided production deployment of the entire cloud platform, not just deploying services to a cloud provider.
  • Local-to-Cloud Conversions2 个子标签Tools for transforming local development workloads into cloud-ready deployment configurations. **Distinct from Cloud Deployment:** Focuses on the conversion process from local pods to cloud deployments, whereas Cloud Deployment typically covers the act of deploying.
  • Migration AcceleratorsProvides structured methodologies and support to reduce cloud migration complexity. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: focuses on the migration process and enterprise support rather than general deployment.
  • Model Endpoint Deployment2 个子标签The process of provisioning cloud infrastructure specifically to host AI models as reachable API endpoints. **Distinct from Cloud Deployment:** Specializes general cloud deployment for the specific purpose of AI model inference hosting.
  • Multi-Cloud Deployments3 个子标签Strategies for distributing data and services across multiple cloud providers to ensure sovereignty and reduce latency. **Distinct from Cloud Deployment:** Specifically targets the distribution across different cloud vendors rather than a single provider deployment.
  • One-Click Cloud LaunchersLaunches the application on a cloud provider with one-click setup that handles infrastructure provisioning automatically. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: focuses on fully automated one-click provisioning, not general multi-cloud deployment configuration.
  • Pipeline OrchestratorsTools that coordinate the promotion of artifacts through environments using visual workflows and graph-based execution. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment by focusing on the workflow orchestration and DAG-based promotion logic across environments.
  • Specialized Cloud AcceleratorsSupport for deploying models on specialized cloud hardware chips. **Distinct from Cloud Deployment:** Focuses on specialized hardware chips rather than general cloud deployment.
  • Virtual Machine Appliance Deployments2 个子标签Provides ready-to-use virtual machine images for deploying the platform on private cloud infrastructure. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: focuses on VM appliance images, not general cloud deployment integrations.
  • macOS Cloud Deployments1 个子标签Deploying macOS virtual machines on cloud providers with configurable network bridges and subnets. **Distinct from Cloud Deployment:** Distinct from Cloud Deployment: specifically targets macOS VM deployment rather than general application deployment.