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Awesome GitHub RepositoriesBackend Framework Deployment

The process of mounting a pre-configured backend framework to a server environment.

Distinct from Decoupled Frontend and Backend Deployments: Focuses on the deployment of a ready-to-use framework instance rather than the architectural separation of frontend and backend.

Explore 5 awesome GitHub repositories matching devops & infrastructure · Backend Framework Deployment. Refine with filters or upvote what's useful.

Awesome Backend Framework Deployment GitHub Repositories

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  • parse-community/parse-serverparse-community 的头像

    parse-community/parse-server

    21,403在 GitHub 上查看↗

    Parse Server is a backend-as-a-service solution and Node.js framework that provides a ready-to-use REST and GraphQL API for mobile and web applications. It functions as a core backend infrastructure for managing database schemas, user authentication, and API routing. The system distinguishes itself with a real-time data engine that pushes database updates to clients via WebSockets and a GraphQL server that automatically generates schemas based on application data models. It also features an adapter-based storage layer that abstracts interactions with various cloud and local backends. The pla

    Allows mounting a ready-to-use backend to a server to handle API requests and data management.

    JavaScriptbaasbackendfile-storage
    在 GitHub 上查看↗21,403
  • deployphp/deployerdeployphp 的头像

    deployphp/deployer

    11,077在 GitHub 上查看↗

    Deployer is a PHP deployment tool and SSH-based deployment automator used to push applications to remote servers and automate the provisioning of hosting environments. It functions as a zero-downtime deployment manager that utilizes symbolic links to switch between application versions, ensuring continuous site availability. The system employs pre-defined deployment recipes tailored to the specific requirements of popular PHP web frameworks. This framework-specific automation allows for the execution of task sequences designed for particular software environments. The tool covers remote serv

    Provides pre-defined configuration sets to handle the specific deployment requirements of popular web frameworks.

    PHPdeploydeploymentphp
    在 GitHub 上查看↗11,077
  • shuttle-hq/shuttleshuttle-hq 的头像

    shuttle-hq/shuttle

    6,920在 GitHub 上查看↗

    Shuttle is a cloud platform for Rust backends that automates infrastructure provisioning and deployment. It functions as an infrastructure-as-code framework where managed databases and cloud resources are defined directly within application logic using code attributes rather than external configuration files. The platform provides a command line interface to manage the full project lifecycle, from local development with live reloading to remote cloud publishing. It includes a managed database provider that automatically provisions and attaches storage to applications during the deployment pro

    Provides a cloud platform for deploying Rust backends without manual infrastructure configuration.

    Rust
    在 GitHub 上查看↗6,920
  • openai/openai-cs-agents-demoopenai 的头像

    openai/openai-cs-agents-demo

    6,410在 GitHub 上查看↗

    This is a demonstration project from OpenAI that showcases a multi-agent customer service workflow built with the OpenAI Agents SDK. It coordinates several specialized AI agents to handle common airline support tasks such as flight booking and cancellation, refunds and compensation, seat and special service requests, real-time flight information, and airline policy FAQ responses, all within a single conversational interface. The system routes incoming customer requests to the appropriate specialized agent based on intent, and enforces guardrails to block off-topic or malicious requests. It su

    Runs the chat backend on OpenAI's infrastructure for fastest setup or on your own servers for full control over data and workflows.

    Python
    在 GitHub 上查看↗6,410
  • vrsen/agency-swarmVRSEN 的头像

    VRSEN/agency-swarm

    3,962在 GitHub 上查看↗

    Agency Swarm is a multi-agent orchestration framework and development kit designed to coordinate specialized AI agents through defined communication patterns and handoffs. It functions as a system for managing agent swarms, providing an API gateway to expose these coordinated collectives as production-ready HTTP endpoints. The project distinguishes itself through its Model Context Protocol integration layer, which connects agents to external data sources and capabilities. It implements specialized orchestration patterns, such as the orchestrator-worker model and role-based delegation, to tran

    Exposes endpoints to run agents on custom servers or unsupported channels via a standardized API.

    Python
    在 GitHub 上查看↗3,962
  1. Home
  2. DevOps & Infrastructure
  3. Backend Framework Deployment

探索子标签

  • Custom Backend IntegrationDeployment of agent endpoints on custom servers or non-standard channels via a standardized API. **Distinct from Backend Framework Deployment:** Focuses on the flexibility of the deployment destination rather than the generic process of mounting a framework.
  • Framework-Specific ConfigurationsPre-defined deployment configurations tailored to the operational requirements of specific web frameworks. **Distinct from Backend Framework Deployment:** Focuses on the configuration sets for deployment rather than the act of mounting a framework instance.
  • Managed Chat Backend DeploymentsDeployment options for chat backends that can run on the provider's infrastructure or be self-hosted. **Distinct from Backend Framework Deployment:** Distinct from Backend Framework Deployment: focuses on deployment choices for AI chat backends specifically, not general backend frameworks.
  • Rust Backend DeploymentsSpecialized deployment processes for Rust-based backend frameworks to cloud environments. **Distinct from Backend Framework Deployment:** Specific to the Rust language ecosystem's deployment needs, rather than generic backend framework mounting.