orleans

name	orleans
description	Build or review distributed .NET applications with Orleans grains, silos, persistence, streaming, reminders, placement, transactions, serialization, event sourcing, testing, and cloud-native hosting.
compatibility	Prefer current Orleans releases (10.x / 9.x) with `UseOrleans`, `IPersistentState<TState>`, `RegisterGrainTimer`, `[GenerateSerializer]`, modern providers, and production-grade clustering.

Microsoft Orleans

Trigger On

• building or reviewing .NET code that uses Microsoft.Orleans.*, Grain, IGrainWith*, UseOrleans, UseOrleansClient, IGrainFactory, JournaledGrain, ITransactionalState, or Orleans silo/client builders
• testing Orleans code with InProcessTestCluster, Aspire.Hosting.Testing, WebApplicationFactory, or shared AppHost fixtures
• modeling high-cardinality stateful entities such as users, carts, devices, rooms, orders, digital twins, sessions, or collaborative documents
• choosing between grains, streams, broadcast channels, reminders, stateless workers, persistence providers, placement strategies, transactions, event sourcing, and external client/frontend topologies
• deploying or operating Orleans with Redis, Azure Storage, Cosmos DB, ADO.NET, .NET Aspire, Kubernetes, Azure Container Apps, or built-in/dashboard observability
• designing grain serialization contracts, versioning grain interfaces, configuring custom placement, or implementing grain call filters and interceptors

Workflow

1. Decide whether Orleans fits. Use it when the system has many loosely coupled interactive entities that can each stay small and single-threaded. Do not force Orleans onto shared-memory workloads, long batch jobs, or systems dominated by constant global coordination.

2. Model grain boundaries around business identity. Prefer one grain per user, cart, device, room, order, or other durable entity. Never create unique grains per request — use [StatelessWorker] for stateless fan-out. Grain identity types:

   • IGrainWithGuidKey — globally unique entities
   • IGrainWithIntegerKey — relational DB integration
   • IGrainWithStringKey — flexible string keys
   • IGrainWithGuidCompoundKey / IGrainWithIntegerCompoundKey — composite identity with extension string

3. Design coarse-grained async APIs. All grain interface methods must return Task, Task<T>, or ValueTask<T>. Use IAsyncEnumerable<T> for streaming responses. Avoid .Result, .Wait(), blocking I/O, lock-based coordination. Use Task.WhenAll for parallel cross-grain calls. Apply [ResponseTimeout("00:00:05")] on interface methods when needed.

4. Choose the right state pattern:

   • IPersistentState<TState> with [PersistentState("name", "provider")] for named persistent state (preferred)
   • Multiple named states per grain for different storage providers
   • JournaledGrain<TState, TEvent> for event-sourced grains
   • ITransactionalState<TState> for ACID transactions across grains
   • Grain<TState> is legacy — use only when constrained by existing code

5. Pick the right runtime primitive deliberately:

   • Standard grains for stateful request/response logic
   • [StatelessWorker] for pure stateless fan-out or compute helpers
   • Orleans streams for decoupled event flow and pub/sub with [ImplicitStreamSubscription]
   • Broadcast channels for fire-and-forget fan-out with [ImplicitChannelSubscription]
   • RegisterGrainTimer for activation-local periodic work (non-durable)
   • Reminders via IRemindable for durable low-frequency wakeups
   • Observers via IGrainObserver and ObserverManager<T> for one-way push notifications

6. Configure serialization correctly:

   • [GenerateSerializer] on all state and message types
   • [Id(N)] on each serialized member for stable identification
   • [Alias("name")] for safe type renaming
   • [Immutable] to skip copy overhead on immutable types
   • Use surrogates (IConverter<TOriginal, TSurrogate>) for types you don't own

7. Handle reentrancy and scheduling deliberately:

   • Default is non-reentrant single-threaded execution (safe but deadlock-prone with circular calls)
   • [Reentrant] on grain class for full interleaving
   • [AlwaysInterleave] on interface method for specific method interleaving
   • [ReadOnly] for concurrent read-only methods
   • RequestContext.AllowCallChainReentrancy() for scoped reentrancy
   • Native CancellationToken support (last parameter, optional default)

8. Choose hosting intentionally.

   • UseOrleans for silos, UseOrleansClient for separate clients
   • Co-hosted client runs in same process (reduced latency, no extra serialization)
   • In Aspire, declare Orleans resource in AppHost, wire clustering/storage/reminders there, use .AsClient() for frontend-only consumers
   • In Aspire-backed tests, resolve Orleans backing-resource connection strings from the distributed app and feed them into the test host instead of duplicating local settings
   • Prefer TokenCredential with DefaultAzureCredential for Azure-backed providers

9. Configure providers with production realism.

   • In-memory storage, reminders, and stream providers are dev/test only
   • Persistence: Redis, Azure Table/Blob, Cosmos DB, ADO.NET, DynamoDB
   • Reminders: Azure Table, Redis, Cosmos DB, ADO.NET
   • Clustering: Azure Table, Redis, Cosmos DB, ADO.NET, Consul, Kubernetes
   • Streams: Azure Event Hubs, Azure Queue, Memory (dev only)

10. Treat placement as an optimization tool, not a default to cargo-cult.

    • ResourceOptimizedPlacement is default since 9.2 (CPU, memory, activation count weighted)
    • RandomPlacement, PreferLocalPlacement, HashBasedPlacement, ActivationCountBasedPlacement
    • SiloRoleBasedPlacement for role-targeted placement
    • Custom placement via IPlacementDirector + PlacementStrategy + PlacementAttribute
    • Placement filtering (9.0+) for zone-aware and hardware-affinity placement
    • Activation repartitioning and rebalancing are experimental

11. Make the cluster observable.

    • Standard Microsoft.Extensions.Logging
    • System.Diagnostics.Metrics with meter "Microsoft.Orleans"
    • OpenTelemetry export via AddOtlpExporter + AddMeter("Microsoft.Orleans")
    • Distributed tracing via AddActivityPropagation() with sources "Microsoft.Orleans.Runtime" and "Microsoft.Orleans.Application"
    • Orleans Dashboard for operational visibility (secure with ASP.NET Core auth)
    • Health checks for cluster readiness

12. Test the cluster behavior you actually depend on.

• InProcessTestCluster for new tests
• Shared Aspire/AppHost fixtures for real HTTP, SignalR, SSE, or UI flows that must exercise the co-hosted Orleans topology
• WebApplicationFactory<TEntryPoint> layered over a shared AppHost when tests need Host DI services, IGrainFactory, or direct grain/runtime access while keeping real infrastructure
• Multi-silo coverage when placement, reminders, persistence, or failover matters
• Benchmark hot grains before claiming the design scales
• Use memory providers in test, real providers in integration tests

Architecture

flowchart LR
  A["Distributed requirement"] --> B{"Many independent<br/>interactive entities?"}
  B -->|No| C["Plain service / worker / ASP.NET Core"]
  B -->|Yes| D["Model one grain per business identity"]
  D --> E{"State pattern?"}
  E -->|"Persistent"| F["IPersistentState&lt;T&gt;"]
  E -->|"Event-sourced"| F2["JournaledGrain&lt;S,E&gt;"]
  E -->|"Transactional"| F3["ITransactionalState&lt;T&gt;"]
  E -->|"In-memory only"| G["Activation state"]
  D --> H{"Communication?"}
  H -->|"Pub/sub"| I["Orleans streams"]
  H -->|"Broadcast"| I2["Broadcast channels"]
  H -->|"Push to client"| I3["Observers"]
  H -->|"Request/response"| I4["Direct grain calls"]
  D --> J{"Periodic work?"}
  J -->|"Activation-local"| K["RegisterGrainTimer"]
  J -->|"Durable wakeups"| L["Reminders"]
  D --> M{"Client topology?"}
  M -->|"Separate process"| N["UseOrleansClient / .AsClient()"]
  M -->|"Same process"| O["Co-hosted silo+client"]
  F & F2 & F3 & G & I & I2 & I3 & I4 & K & L & N & O --> P["Serialization → Placement → Observability → Testing → Deploy"]

Deliver

• a justified Orleans fit, or a clear rejection when the problem should stay as plain .NET code
• grain boundaries, grain identities, and activation behavior aligned to the domain model
• concrete choices for clustering, persistence, reminders, streams, placement, transactions, and hosting topology
• serialization contracts with [GenerateSerializer], [Id], versioning via [Alias], and immutability annotations
• an async-safe grain API surface with bounded state, proper reentrancy, and reduced hot-spot risk
• an explicit testing and observability plan for local development and production
• a test-harness choice that matches the assertion level: runtime-only, API/SignalR/UI, or direct Host DI/grain access

Validate

• Orleans is being used for many loosely coupled entities, not as a generic distributed hammer
• grain interfaces are coarse enough to avoid chatty cross-grain traffic
• no grain code blocks threads or mixes sync-over-async with runtime calls
• state is bounded, version-tolerant, and persisted only through intentional provider-backed writes
• all state and message types use [GenerateSerializer] and [Id(N)] correctly
• timers are not used where durable reminders are required; reminders are not used for high-frequency ticks
• in-memory storage, reminders, and stream providers are confined to dev/test usage
• Aspire projects register required keyed backing resources before UseOrleans() or UseOrleansClient()
• reentrancy is handled deliberately — circular call patterns use [Reentrant], [AlwaysInterleave], or AllowCallChainReentrancy
• transactional grains are marked [Reentrant] and use PerformRead/PerformUpdate
• hot grains, global coordinators, and affinity-heavy grains are measured and justified
• tests cover multi-silo behavior, persistence, and failover-sensitive logic when those behaviors matter
• Aspire-backed tests reuse one shared AppHost fixture and do not boot the distributed topology inside individual tests
• co-hosted Host tests do not start a redundant Orleans client unless external-client behavior is the thing under test
• Host or API test factories resolve connection strings from the AppHost resource graph instead of copied local config
• deployment uses production clustering, real providers, and proper GC configuration

Load References

Open only what you need. Each reference is topic-focused for token economy:

• references/official-docs-index.md — full Orleans documentation map with direct links to the official Learn tree
• references/grains.md — grain modeling, persistence, event sourcing, reminders, transactions, versioning links
• references/grain-api.md — grain identity, placement, lifecycle, reentrancy, cancellation API details with code
• references/persistence-api.md — IPersistentState API, provider configuration, event sourcing, transactions with code
• references/streaming-api.md — streams, broadcast channels, observers, IAsyncEnumerable patterns with code
• references/serialization-api.md — GenerateSerializer, Id, Alias, surrogates, copier, immutability details
• references/hosting.md — clients, Aspire, configuration, observability, dashboard, deployment links
• references/configuration-api.md — silo/client config, GC tuning, deployment targets, observability setup with code
• references/implementation.md — runtime internals, testing, load balancing, messaging guarantees
• references/testing-patterns.md — practical Orleans test harness selection with InProcessTestCluster, shared AppHost fixtures, WebApplicationFactory, SignalR, and Playwright
• references/patterns.md — grain, persistence, streaming, coordination, and performance patterns with code
• references/anti-patterns.md — blocking calls, unbounded state, chatty grains, bottlenecks, deadlocks with code
• references/examples.md — quickstarts, samples browser entries, and official Orleans example hubs

Official sources:

• GitHub Repository
• Overview
• Best Practices
• Grain Persistence
• Grain Placement
• Timers and Reminders
• Streaming
• Transactions
• Serialization
• Testing
• Orleans Dashboard
• Orleans and .NET Aspire Integration