Case Study / Integration Platform
An enterprise-style integration platform that demonstrates how external systems can submit orders through an API while downstream processing happens asynchronously.
OrderFlow explores a common integration scenario: accepting requests from external systems without making those systems wait for the complete downstream process to finish.
The platform combines API-based order intake with asynchronous messaging and background processing, while addressing concerns such as reliability, maintainability and operational visibility.
In integrated systems, synchronous processing can tightly couple clients to downstream availability and processing time. When a dependency becomes slow or unavailable, that problem can affect the entire request chain.
Order processing also introduces failure scenarios that need to be handled deliberately, including temporary failures, repeated delivery of the same message and operations that cannot be completed successfully.
OrderFlow separates order intake from downstream processing. The API accepts and validates an order and publishes a message for asynchronous processing.
Processing can then continue independently from the original client request. This creates clear boundaries for handling retries, duplicate messages and failures without keeping the calling system tied to the complete processing flow.
OrderFlow keeps the request-facing API separate from downstream order processing. Once an order is accepted, messaging provides the boundary between intake and asynchronous processing.
The client does not need to wait for downstream processing to complete.
Retries, duplicate handling and dead-letter processing are considered explicitly.
Application logic is separated from infrastructure concerns through ports and adapters.
Correlation and distributed tracing continue across the asynchronous boundary.
Asynchronous processing introduces failure scenarios that need to be handled explicitly. OrderFlow includes reliability and quality measures throughout the processing flow rather than treating them as an afterthought.
Idempotent message handling prevents duplicate processing, while retries and dead-letter handling provide controlled paths for temporary and persistent failures.
OpenTelemetry, correlation and distributed tracing make it possible to follow an order across the asynchronous processing flow.
Unit, integration and architecture tests verify application behaviour, integration boundaries and architectural rules.
GitHub Actions builds and tests the solution automatically, providing a repeatable quality check as the codebase changes.
The technology choices support the integration patterns demonstrated by the project, while keeping application logic separated from infrastructure-specific concerns.
.NET 10 · C# · Azure Functions Isolated Worker
Azure Service Bus · Azure API Management · Azure Storage
Clean Architecture · Ports & Adapters · OpenTelemetry · xUnit
Docker · Bicep · GitHub Actions
The complete source code, architecture documentation, tests and local development setup are available in the public GitHub repository.