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Version: v1.2.7

Dead-Letter Handling and Replay

Dead-letter handling captures failed channel deliveries and routes them to a fallback path instead of just logging the exception and moving on.

Why Use Dead-Letter Handling?​

A transport failure is different from a modelling or serialization failure:

  • The event was already created as a valid CloudEvent
  • Business code may need to know that delivery failed
  • Operators may want to inspect or replay the failed event later

Dead-letter handling addresses that specific case.

EventPublisher
    │
    ▼
channel publish
    │
    ├── success ──► done
    │
    └── failure ──► dead-letter handler
                         │
                         ├── inspect / log
                         ├── persist
                         └── replay now or later

IMPORTANT: In normal conditions, prefer the native dead-letter capabilities provided by the underlying transport when they exist. Brokers such as RabbitMQ, Azure Service Bus, and Amazon SQS already offer built-in dead-letter handling. This extension is mainly intended for channels that don't support dead-lettering natively, or for the uncommon case where you intentionally want to override the transport's built-in behavior.

What Failures Are Captured?​

Dead-letter handlers run only for channel publish failures (EventPublishStage.ChannelPublish).

They do not run for:

  • Event creation failures
  • IEventConvertible conversion failures

Those earlier failures go through the generic publisher error pipeline instead. If you need one hook for all publish stages, use UseErrorHandler(...) from Hermodr.Publisher; see Publish Error Handling.

Installation​

Core Dead-Letter Package​

dotnet add package Hermodr.Publisher.DeadLetter

Entity Framework Core Integration​

dotnet add package Hermodr.Publisher.DeadLetter.EntityFramework
dotnet add package Microsoft.EntityFrameworkCore.Sqlite

Replace Sqlite with the EF Core provider you actually use.

Next Steps​

PageDescription
In-Process HandlingRegister handlers, use DeadLetterContext, immediate replay
PersistenceStore dead letters in custom or EF Core backends
ReplayReplay stored messages on-demand
Background WorkerAutomatic retry with hosted service
EF Core IntegrationReady-made EF implementation
DeploymentSame-process vs cross-process topologies