akka-net-best-practices
Critical Akka.NET best practices including EventStream vs DistributedPubSub, supervision strategies, error handling, Props vs DependencyResolver, work distribution patterns, and cluster/local mode abstractions for testability.
What this skill does
# Akka.NET Best Practices
## When to Use This Skill
Use this skill when:
- Designing actor communication patterns
- Deciding between EventStream and DistributedPubSub
- Implementing error handling in actors
- Understanding supervision strategies
- Choosing between Props patterns and DependencyResolver
- Designing work distribution across nodes
- Creating testable actor systems that can run with or without cluster infrastructure
- Abstracting over Cluster Sharding for local testing scenarios
## Reference Files
- [work-distribution-patterns.md](work-distribution-patterns.md): Database queues, Akka.Streams throttling, outbox pattern
- [cluster-local-abstractions.md](cluster-local-abstractions.md): GenericChildPerEntityParent, IPubSubMediator, execution mode wiring
- [async-cancellation-patterns.md](async-cancellation-patterns.md): Actor-scoped CancellationToken, linked CTS, timeout handling
---
## 1. EventStream vs DistributedPubSub
### Critical: EventStream is LOCAL ONLY
`Context.System.EventStream` is **local to a single ActorSystem process**. It does NOT work across cluster nodes.
```csharp
// BAD: This only works on a single server
// When you add a second server, subscribers on server 2 won't receive events from server 1
Context.System.EventStream.Subscribe(Self, typeof(PostCreated));
Context.System.EventStream.Publish(new PostCreated(postId, authorId));
```
**When EventStream is appropriate:**
- Logging and diagnostics within a single process
- Local event bus for truly single-process applications
- Development/testing scenarios
### Use DistributedPubSub for Multi-Node
For events that must reach actors across multiple cluster nodes, use `Akka.Cluster.Tools.PublishSubscribe`:
```csharp
using Akka.Cluster.Tools.PublishSubscribe;
public class TimelineUpdatePublisher : ReceiveActor
{
private readonly IActorRef _mediator;
public TimelineUpdatePublisher()
{
// Get the DistributedPubSub mediator
_mediator = DistributedPubSub.Get(Context.System).Mediator;
Receive<PublishTimelineUpdate>(msg =>
{
// Publish to a topic - reaches all subscribers across all nodes
_mediator.Tell(new Publish($"timeline:{msg.UserId}", msg.Update));
});
}
}
```
### Akka.Hosting Configuration for DistributedPubSub
```csharp
builder.WithDistributedPubSub(role: null); // Available on all roles, or specify a role
```
### Topic Design Patterns
| Pattern | Topic Format | Use Case |
|---------|--------------|----------|
| Per-user | `timeline:{userId}` | Timeline updates, notifications |
| Per-entity | `post:{postId}` | Post engagement updates |
| Broadcast | `system:announcements` | System-wide notifications |
| Role-based | `workers:rss-poller` | Work distribution |
---
## 2. Supervision Strategies
### Key Clarification: Supervision is for CHILDREN
A supervision strategy defined on an actor dictates **how that actor supervises its children**, NOT how the actor itself is supervised.
```csharp
public class ParentActor : ReceiveActor
{
// This strategy applies to children of ParentActor, NOT to ParentActor itself
protected override SupervisorStrategy SupervisorStrategy()
{
return new OneForOneStrategy(
maxNrOfRetries: 10,
withinTimeRange: TimeSpan.FromSeconds(30),
decider: ex => ex switch
{
ArithmeticException => Directive.Resume,
NullReferenceException => Directive.Restart,
ArgumentException => Directive.Stop,
_ => Directive.Escalate
});
}
}
```
### Default Supervision Strategy
The default `OneForOneStrategy` already includes rate limiting:
- **10 restarts within 1 second** = actor is permanently stopped
- This prevents infinite restart loops
**You rarely need a custom strategy** unless you have specific requirements.
### When to Define Custom Supervision
**Good reasons:**
- Actor throws exceptions indicating irrecoverable state corruption -> Restart
- Actor throws exceptions that should NOT cause restart (expected failures) -> Resume
- Child failures should affect siblings -> Use `AllForOneStrategy`
- Need different retry limits than the default
**Bad reasons:**
- "Just to be safe" - the default is already safe
- Don't understand what the actor does - understand it first
---
## 3. Error Handling: Supervision vs Try-Catch
### When to Use Try-Catch (Most Cases)
**Use try-catch when:**
- The failure is **expected** (network timeout, invalid input, external service down)
- You know **exactly why** the exception occurred
- You can handle it **gracefully** (retry, return error response, log and continue)
- Restarting would **not help** (same error would occur again)
```csharp
public class RssFeedPollerActor : ReceiveActor
{
public RssFeedPollerActor()
{
ReceiveAsync<PollFeed>(async msg =>
{
try
{
var feed = await _httpClient.GetStringAsync(msg.FeedUrl);
var items = ParseFeed(feed);
// Process items...
}
catch (HttpRequestException ex)
{
// Expected failure - log and schedule retry
_log.Warning("Feed {Url} unavailable: {Error}", msg.FeedUrl, ex.Message);
Context.System.Scheduler.ScheduleTellOnce(
TimeSpan.FromMinutes(5), Self, msg, Self);
}
catch (XmlException ex)
{
// Invalid feed format - log and mark as bad
_log.Error("Feed {Url} has invalid format: {Error}", msg.FeedUrl, ex.Message);
Sender.Tell(new FeedPollResult.InvalidFormat(msg.FeedUrl));
}
});
}
}
```
### When to Let Supervision Handle It
**Let exceptions propagate (trigger supervision) when:**
- You have **no idea** why the exception occurred
- The actor's **state might be corrupt**
- A **restart would help** (fresh state, reconnect resources)
- It's a **programming error** (NullReferenceException, InvalidOperationException from bad logic)
### Anti-Pattern: Swallowing Unknown Exceptions
```csharp
// BAD: Swallowing exceptions hides problems
catch (Exception ex)
{
_log.Error(ex, "Error processing work");
// Actor continues with potentially corrupt state
}
// GOOD: Handle known exceptions, let unknown ones propagate
catch (HttpRequestException ex)
{
// Known, expected failure - handle gracefully
_log.Warning("HTTP request failed: {Error}", ex.Message);
Sender.Tell(new WorkResult.TransientFailure());
}
// Unknown exceptions propagate to supervision
```
---
## 4. Props vs DependencyResolver
### When to Use Plain Props
**Use `Props.Create()` when:**
- Actor doesn't need `IServiceProvider` or `IRequiredActor<T>`
- All dependencies can be passed via constructor
- Actor is simple and self-contained
```csharp
// Simple actor with no DI needs
public static Props Props(PostId postId, IPostWriteStore store)
=> Akka.Actor.Props.Create(() => new PostEngagementActor(postId, store));
```
### When to Use DependencyResolver
**Use `resolver.Props<T>()` when:**
- Actor needs `IServiceProvider` to create scoped services
- Actor uses `IRequiredActor<T>` to get references to other actors
- Actor has many dependencies that are already in DI container
```csharp
// Registration with DI
builder.WithActors((system, registry, resolver) =>
{
var actor = system.ActorOf(resolver.Props<OrderProcessorActor>(), "order-processor");
registry.Register<OrderProcessorActor>(actor);
});
```
### Remote Deployment Considerations
**You almost never need remote deployment.** If you're not doing remote deployment (and you probably aren't):
- `Props.Create(() => new Actor(...))` with closures is fine
- The "serialization issue" warning doesn't apply
For most applications, use **cluster sharding** instead of remote deployment - it handles distribution automatically.
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