microsoft/FluidFramework
FluidFramework
FluidFramework es un framework de colaboración en tiempo real y motor de sincronización de estado distribuido. Proporciona una librería de modelos de datos colaborativos y un sistema de documentos sincronizado en la nube diseñado para replicar estructuras de datos a través de clientes conectados utilizando operaciones ordenadas para garantizar la consistencia eventual.
El framework utiliza una arquitectura de relé cliente-servidor para enrutar y persistir operaciones sin requerir lógica de negocio personalizada del lado del servidor. Gestiona el ciclo de vida de las sesiones colaborativas a través de contenedores de datos compartidos e implementa estrategias de resolución de conflictos, como "el último en escribir gana", junto con mecanismos de actualización optimistas para mantener una experiencia de usuario receptiva.
Las áreas de capacidad cubren la sincronización de datos jerárquicos, pares clave-valor y edición de texto en tiempo real. El sistema incluye mecanismos para la coordinación de acciones exclusivas, suscripciones de estado en tiempo real para actualizaciones de la interfaz de usuario y gestión integrada de documentos en la nube para almacenar datos de aplicaciones en plataformas empresariales.
El proyecto incluye una simulación de servicio local para prototipar funciones colaborativas sin requerir un despliegue en la nube.
Features
- Collaborative Data Structure Synchronization - Synchronizes complex shared data structures like arrays and maps across distributed clients using conflict-resolution logic.
- Collaborative Document Infrastructures - Provides infrastructure for managing the lifecycle and persistence of collaborative documents using relay services.
- Cloud Data Synchronization - Connects clients to managed cloud services to enable real-time collaboration on shared data models with scaling and security.
- Distributed Data Synchronization Systems - Uses distributed structures that automatically reflect modifications across all connected collaborators in real time.
- Distributed Shared Data Management - Manages and persists complex hierarchical data structures and key-value pairs across distributed collaborators.
- Distributed State Synchronization - Distributes and synchronizes application state across multiple clients using consistent distributed models.
- Synchronized Key-Value Maps - Synchronizes basic map data structures across clients using a last-writer-wins strategy to ensure state consistency.
- Session Encapsulations - Implements isolated data containers to manage the lifecycle and scope of collaborative sessions.
- Server-Side Editor State Persistence - Stores shared application state on general-purpose servers without requiring custom server-side logic.
- Collaborative Application SDKs - Provides SDKs for building multiplayer applications with real-time state synchronization and shared interfaces.
- Cloud Service Integrations - Facilitates the transmission of operations between distributed clients via integration with cloud-hosted or local relay services.
- Centralized Relay Architectures - Uses a central backend service to route and persist operations without requiring custom server-side business logic.
- Collaboration Session Connectivity - Enables clients to establish connections to existing collaborative sessions using unique identifiers.
- Collaborative Service Connections - Enables synchronization of state across distributed users by establishing connections to backend relay services.
- Operation-Based State Reconciliation - Broadcasts ordered data operations between clients and a relay service to ensure all participants converge on the same state.
- Shared Object Abstractions - Provides an abstraction layer over distributed data structures so developers interact with them like local JavaScript objects.
- Last-Write-Wins Semantics - Resolves concurrent updates to key-value pairs by prioritizing the operation with the most recent timestamp or sequence.
- Collaborative - Provides programmatic interfaces for initializing shared data containers with defined schemas.
- Shared Collaborative Data Types - Provides a library of shared collaborative data types, such as maps and arrays, for automatic convergence.
- Collaborative Session Containers - Groups isolated collaborative sessions into logical units that manage the lifecycle and schema of shared objects.
- Replicated State Machines - Replicates data across connected clients by broadcasting ordered operations to ensure all participants converge on the same state.
- Real-Time Collaborative Editing - Enables multiple users to edit text strings simultaneously using optimistic updates to ensure real-time synchronization.
- Real-Time Collaboration Tools - Provides a comprehensive framework for building distributed web applications with real-time state synchronization.
- Cloud Storage Integrations - Integrates with enterprise cloud storage platforms to manage and synchronize shared documents and session data.
- Action Coordination - Ensures single-user task execution or value changes by requiring acknowledgment from all connected clients for exclusive actions.
- Real-time Data Subscriptions - Provides a subscription mechanism for change events on shared objects to automatically update user interfaces during remote modifications.
- Cloud Service Simulators - Provides an in-memory local service to simulate cloud backend behavior for collaborative feature prototyping.
- Self-Hosted Collaboration Servers - Supports the deployment of server-side runtimes to synchronize shared state via cloud or self-managed services.
- Exclusive Action Coordination - Ensures single-user task execution or value changes by requiring acknowledgment from all connected clients.
- Distributed Object Interfaces - Organizes distributed data structures into shared objects to provide a consistent interface for developers.
- Optimistic Updates - Applies local changes to the state immediately and reconciles them later when the relay service confirms the operation order.
