Broker Architectures

Reliable Message Processing|Decoupled .NET Workflows|Recovery You Can Demonstrate

Sphere 10 builds message-driven systems that keep business work moving when producers and consumers operate at different speeds or become temporarily unavailable. We design the message contracts, .NET workers, broker configuration and recovery tools together, with explicit rules for delivery, retries and duplicate processing.

Define What a Message Commits the System To Do

We distinguish commands that request work from events that report an accepted business fact. Each message has an identity, schema version and ownership boundary. The design states when a producer considers publication successful, when a consumer acknowledges completion and how an operator sees work that cannot proceed.

That contract determines routing, queue retention, ordering and retry policy. Work that must happen once from the business perspective needs an idempotent operation and stored processing evidence. We design those application rules alongside the selected broker's delivery guarantees, including the consequences of a consumer failing after a database commit but before acknowledgement.

Implement the Persistence and Delivery Boundary

Our usual workers are C# services using the selected broker's .NET client, such as RabbitMQ.Client. The implementation handles connection recovery, controlled concurrency, acknowledgements and graceful shutdown. For workflows that change SQL records and publish a message, an application-owned transactional outbox can retain the publication intent in the same database transaction.

Sphere10 Framework.Data supplies IDAC and DACScope for explicit local transaction ownership. We use those foundations where appropriate and implement the outbox, inbox and business retry policy at the application layer. They are designed and tested parts of your system, with storage and broker state reconciled deliberately.

Versioned command and event contracts with producer and consumer ownership.
.NET publishers and workers with bounded concurrency and controlled shutdown.
Duplicate detection, retry limits and a route for failed or malformed messages.
Operator views showing queue age, processing failures and authorised replay actions.

Test the Failure Between Every Two Steps

Acceptance includes a broker outage, a consumer crash, a duplicated message and an invalid payload. We restart workers with work in progress and demonstrate that accepted records remain consistent. Load tests measure processing latency and backlog recovery using realistic message sizes, rather than only the speed of publishing into an empty queue.

Handover covers topology, permissions, message versions, retention and replay procedures, plus the source and deployment configuration. We define which failures are retried automatically and which require an operator decision. Your team receives a system whose delivery behaviour is observable and whose recovery actions have been exercised before release.

Platforms & Tooling

.NET C# RabbitMQ ASP.NET Core SQL Server Sphere10 Framework Docker

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