dotnet/orleans

Features

• Actor Models - Implements a virtual actor model where entities with stable identities manage their own state and lifecycle across a cluster.
• Cluster Management and Elasticity - Automatically adds or removes servers from the cluster to recover from node failures without downtime.
• Lifecycle Management - Controls the automatic activation, deactivation, and distribution of virtual actors to ensure high availability.
• ACID Transaction Semantics - Ensures multiple state updates across different actors are processed atomically and consistently using ACID semantics.
• Streaming Data Processing - Provides a managed system for processing continuous data streams in near-real time with checkpoints and batch delivery.
• Distributed State Persistence - Persists actor-specific state to external storage to ensure durability and recovery across node failures.
• Cloud Native Orchestration - Provides a cloud-native framework to automatically redistribute workloads and recover from node failures.
• Silo-Based Distribution - Organizes the system into independent server units that automatically redistribute actor workloads during cluster membership changes.
• Actor Lifecycle Management - Optimizes resource usage by automatically activating actors on request and deactivating them during inactivity.
• Asynchronous Message Passing - Uses non-blocking request-response patterns for communication between actors to maximize throughput and prevent thread starvation.
• Distributed State Management - Maintains consistent entity-specific state in memory across multiple servers with automatic distribution and persistence.
• Location Transparency - Routes requests to actors by resolving their current server placement, abstracting the physical network location.
• Pub-Sub Messaging - Implements a reliable pub/sub messaging system for decoupled producers and consumers with checkpointing support.
• Cloud Native Development Frameworks - Provides a programming model for building resilient, elastic services that automatically handle state distribution.
• Distributed Actor Frameworks - Provides a comprehensive .NET framework for building scalable cloud-native applications using a virtual actor model.
• Distributed Pub-Sub Adapters - Provides a messaging architecture that synchronizes events and subscription memberships across multiple server instances.
• Distributed Transaction Coordinators - Coordinates atomic transactions across multiple actors with serializable isolation without requiring a central coordinator.
• Stateful Distributed Actors - Implements architectural patterns for persisting actor state to external storage while maintaining active data in memory.
• Cluster Connectivity - Enables external processes to connect to a distributed cluster to invoke remote operations on actors.
• Interface Versioning - Supports safe rolling updates by managing multiple versions of actor implementations across the cluster.
• Placement Policies - Determines which server hosts specific actors using load-based or custom proximity policies.
• Distributed Caches - Implements a shared memory layer that accelerates performance by caching results from external services across the cluster.
• Real-Time Data Streaming - Processes real-time data streams via reliable pub/sub messaging with checkpoints and batch delivery.
• Actor-Scoped Scheduling - Triggers periodic tasks within distributed actors to handle recurring logic or timeouts.
• Task Scheduling - Allows actors to trigger periodic or delayed executions to handle recurring maintenance and timeouts.
• Task Schedulers - Provides persistent background task scheduling that survives system failures and actor deactivations.
• Durable Reminders - Provides durable reminders that ensure tasks execute at specific times even after actor deactivations.
• Broadcast Messaging Channels - Provides one-to-many communication channels for broadcasting data streams to multiple subscribers using external providers.
• Publish-Subscribe Messaging - Enables low-latency communication between distributed services through a reliable publish-subscribe streaming model.
• Request Filter Integrations - Implements a pipeline of filters to intercept actor calls for cross-cutting concerns like logging and authorization.
• Actor Placement Policies - Determines which server hosts a specific actor using configurable load-based or custom proximity policies.
• Parallel Execution Units - Runs identical stateless logic units across multiple servers simultaneously to increase overall throughput.
• Entity Routing Versioning - Allows requests to be routed to specific entity implementation versions for safe updates and varied configurations.
• Durable Reminder Services - Ensures actions are triggered at specific future times even if the actor is not currently active in memory.
• Actor Frameworks - Distributed virtual actor model framework.
• Distributed Computing - Framework for building high-scale distributed computing applications.
• Application Frameworks - Framework for building distributed high-scale computing applications.
• Developer Utilities - Framework for building distributed, stateful cloud applications.

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