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Wagner Silveira

Wagner Silveira. Microsoft MVP - Azure. Creating a Processing Pipeline with Azure Function and AIS. About me. wsilveiranz. wagner.silveira@notetoself.tech. https://notetoself.tech. Principal Integration Architect Microsoft Azure MVP MCSE Cloud Platform. Agenda. Case Study

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Wagner Silveira

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  1. Wagner Silveira • Microsoft MVP - Azure Creating a Processing Pipeline with Azure Function and AIS

  2. About me wsilveiranz wagner.silveira@notetoself.tech https://notetoself.tech Principal Integration Architect Microsoft Azure MVP MCSE Cloud Platform

  3. Agenda • Case Study • Initial Solution • Updated Solution • Key Components • A year later – what changed? • Lessons Learned

  4. Case Study

  5. The solution requirements • Onboarding of external EDI messages • Should allow for different transports • Message need to be Validated, translated, enriched, routed • Control on retries and notification over failed messages • Auditing of initial message • Visibility of where a single message was in the process

  6. Logical Design

  7. Initial Solution

  8. Reality Check • Big Payloads • EDIFACT schema not available • Operational costs • End to end Monitoring

  9. Updated Solution

  10. How was this different from the initial solution? • Azure Functions • EDIFACT support via .NET Package • Claim check pattern • Dedicated instances • Azure Storage • Payload storage (claim check pattern) • Application Insights • End to End with custom events • Single technology for monitoring and notification

  11. Key Components

  12. Key Components • Claim check pattern • App Insights Custom Events

  13. The claim check pattern • Publishing function separates content from metadata then: • Store content on a safe repository • Publish metadata + storage pointer + Reprocessing count to message engine • Subscribing processes receive metadata and retrieve content when required

  14. App Insights custom events • End to end traceability using a Correlation ID • Allow for exceptions to be captured the same way • Leverage Functions support for App Insights • Implemented as a reusable component App Insights

  15. Hands on Time?

  16. Key Management • Leveraged MSI support where available • SQL Server • Storage • Key vault • Kept keys in key vault where MSI where not supported directly • Service Bus

  17. Exception Management & Retrieson Functions • Catch blocks using a notify and throw pattern • Leverage Function SB binding peek-lock pattern • Adjusted Maximum Delivery Count on SB • Messages that failed where delivered to DLQ

  18. DLQ Management • Logic Apps polling subscriptions DLQ every 6 hours • Each subscription DLQ could have it’s own logic • Reprocessing count • Resubmission logic • Notification logic • Email notification • Error blob storage

  19. One year later…

  20. New technology candidates • Integration Services Engine • Azure Durable Functions • Event Grid

  21. What about new features • Azure Functions Premium • Improved support for Key Vault • Improved support for MSI • Virtual Network support + Service Endpoints

  22. Lessons learned

  23. Review the fine print

  24. Operational cost is a design consideration

  25. Make the best of each technology

  26. Think about the big picture

  27. In Summary • Weight your technology options • Think about limitations, operational costs • Understand how your solution fit in the big picture • Understand the components roadmap

  28. Thank you for attending!

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