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#azuredataexplorer

#caching

#ecommerce

#microservices

#pricing

Dynamics 365 Commerce

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Oct 4, 2023

Published date

Text

Article Type


AI Summary

  • The article discusses the challenges of implementing a complex pricing logic in a Dynamics 365 eCommerce project.
  • Real-time price calculation is time
  • and compute-intensive and does not align with customer expectations for instant prices on eCommerce sites.
  • The initial approach of creating a price caching logic in the Cloud-Scale-Unit (CSU) did not deliver the expected performance in production.
  • Telemetry analysis of the CSU revealed load balancing issues among multiple stateless microservices as the cause of the caching failure.
  • A shared cache table was implemented in the CSU to improve performance and meet customer expectations.
  • The author reflects on the technical differences between Tier-1, Tier-2, and Tier-3 levels of eCommerce CSUs.
  • The lessons learned include the importance of understanding the underlying architecture and the effectiveness of cache when implemented correctly.

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