This section maps Microsoft Azure cloud design patterns to the services covered in this workshop:
- Azure API Management (APIM)
- Azure Logic Apps
- Azure Service Bus
- Azure Event Grid
- Azure Functions
- Azure Data Factory
The goal is to help you recognize when a pattern applies, what problem it solves, and how it commonly shows up in Azure Integration solutions.
| Integration service | Guide |
|---|---|
| Azure API Management (APIM) | APIM patterns |
| Azure Logic Apps | Logic Apps patterns |
| Azure Service Bus | Service Bus patterns |
| Azure Event Grid | Event Grid patterns |
| Azure Functions | Functions patterns |
| Azure Data Factory | Data Factory patterns |
A practical flow that works well in instructor-led delivery:
- Pick a use case (sync API integration, async messaging, eventing, workflow orchestration, data pipelines).
- Identify the primary Integration service.
- Apply 2–4 patterns to address reliability, security, and scale.
- Validate with:
- failure modes (retries, circuit breakers, dead-lettering)
- throughput and backpressure (load leveling, competing consumers)
- integration boundaries (anti-corruption layer, strangler fig)
- Cloud design patterns catalog: https://learn.microsoft.com/en-us/azure/architecture/patterns/