HeyJaredAzure Friday
Join Scott Hanselman every Friday as he engages one-on-one with the engineers who build the services that power Microsoft Azure as they demo capabilities, answer Scott's questions, and share their insights. Follow us at: friday.azure.com.
- Indexed episodes, last 90 days
- 3
- Latest publication
- Aug 7, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 10, 2026
Latest episodes
Deploying Aspire Apps to Azure App Service for Linux (opens the original)
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In this Azure Friday episode, Scott Hanselman and Tulika Chaudharie show how to take an Aspire application from local development to Azure App Service for Linux. They demonstrate how to create and configure an Aspire project, deploy its frontend, backend, and dashboard as App Service resources, and use the hosted Aspire Dashboard to understand the running application. They also explore how the Aspire agent integration can help generate the required configuration and simplify the deployment exper
Future-proof Postgres for better performance and scale (opens the original)
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See how a single Azure Database for PostgreSQL Flexible Server scales read-heavy workloads using read replicas and virtual endpoints — the same pattern OpenAI relies on to run ChatGPT on Postgres. Scott and Paula show a live read workload saturating a primary, then offload it to a replica with a single hostname change, and finish with replicas across Europe staying within milliseconds of the primary. It's read scale-out without sharding or re-architecting your app. Chapters 00:30 - Introduction
Turning Coding Agents into an Azure Cosmos DB Expert with the Agent Kit (opens the original)
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In this Azure Friday episode, Scott Hanselman and Sajee demonstrate the Azure Cosmos DB Agent Kit — a skill you install with one command that gives your coding agent 100+ Cosmos DB best-practice rules across data modeling, partitioning, query optimization, and SDK usage and much more. Using a multi-agent fitness coaching app as an example, they show how the kit caught a missing partition key filter that was leaking member data across tenants, recommended hierarchical partitioning for multi-tenan
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