Using AI with App Service to deploy differentiated web apps and APIs
summary
Migrates a legacy ASP.NET Framework app to Azure App Service, adds a chat assistant using Azure OpenAI with managed identity, embeddings and Azure AI Search, and runs a local sidecar vector cache (Quadrant) via semantic kernel for fast responses; demonstrates Azure Migrate code assessment, Azure Load Testing and automatic scaling (ramping to 10 instances), Application Insights smart detection (flagging >2,000 errors) and partner observability (Dynatrace, Datadog, New Relic); demos show the chat and scaling patterns working, and a worst‑case test drives 5s response times.
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chapters (9)
- 0:00Session introduction
- 1:03AI-enhanced web modernization
- 7:21Integrating generative AI
- 10:09Scaling and load testing
- 18:44Intelligent observability
- 21:53Partner-driven observability
- 28:33Web jobs and background tasks
- 32:36Advanced AI architecture
- 40:05Conclusion and resources
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