Kirill Gavrylyuk joins Scott Hanselman to go over two important updates to Azure Cosmos DB: Free Tier and Autopilot.

Free Tier enables you to run small applications using Azure Cosmos DB free of charge for as long as you like. Autopilot enables developers to only pay for the Azure Cosmos DB usage they need and not worry about predicting throughput.

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Cassie Condon joined Scott Hanselman at Ignite 2019 to talk about the new investments, capabilities, and form factors for the Azure Stack portfolio that ensure our edge infrastructure fits seamlessly in our customers’ solutions.

Azure Stack is now a portfolio of products consisting of Azure Stack HCI, Azure Stack Hub (previously Azure Stack), and Azure Stack Edge (previously Azure Data Box Edge).

A rugged series is also available for sites with harsh environments, including a battery-powered form-factor that can be carried in a backpack.

The versatility of these Azure Stack Edge form-factors and cloud-managed capabilities brings cloud intelligence and compute to retail stores, factory floors, hospitals, field operations, disaster zones, and rescue operations.     

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Caitie McCaffrey joins Scott Hanselman to give a detailed overview of Azure Sphere, including how the hardware, operating system, and cloud-based security service work together to deliver end-to-end security for IoT devices. Azure Sphere is now generally available.      

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Sohamn Chatterjee joins Scott Hanselman to show how to customize HTTP requests including header override, URL redirects/rewrites, and change caching policies using the rules engine for Azure CDN from Microsoft.

You can add combinations of match conditions and actions per rule to do complex HTTP overrides at the CDN edge network, which improves overall performance and reduces costs at the origin     

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Vicky Harp joins Scott Hanselman to show how Azure Data Studio combined the simple and robust SQL query editing experience of tools like SSMS with the flexibility and collaboration of Jupyter Notebooks. The November 2019 release of Azure Data Studio included SQL Server 2019 Guide as a Jupyter Book, which provides a richer troubleshooting experience.     

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Dr. Ranveer Chandra gives Scott Hanselman an introduction to Azure FarmBeats at Microsoft Ignite 2019.

FarmBeats is a business-to-business offering available in Azure Marketplace. It enables the aggregation of data from farms — across sensors, drones, robots, satellites, and weather providers — and generation of actionable insights using artificial intelligence (AI) and machine learning (ML) models built on fused datasets.

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Tim Sander joins Scott Hanselman to discuss composite indexes and correlated subqueries using the SQL API in Azure Cosmos DB.

A Request Unit, or RU, is the measure of throughput in Azure Cosmos DB. Learn how to optimize queries with a composite index to decrease the RUs needed for a given query.

They also showcase correlated subqueries and examples of how they can make it easier to query arrays in Azure Cosmos DB.

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              Learn how you can publish your SaaS solution and start generating revenue by making it available to potential buyers on Microsoft AppSource and Azure Marketplace.

              Ercenk Keresteci joins Scott Hanselman to cover the technical details of integrating a solution with Microsoft’s commercial marketplace, including how to use scripts for provisioning and de-provisioning a customer.

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              Keiko Harada joins Scott Hanselman to show how to use Prometheus to monitor containers in Azure Monitor.

              Prometheus is a popular open source metric monitoring solution and is a part of Cloud Native Compute Foundation.

              Customers who like the extensive metrics which Prometheus provides on Kubernetes also like how easy it is to use Azure Monitor for containers which provides fully managed, out of the box monitoring for Azure Kubernetes Service (AKS) clusters.

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              Christina Lee joins Scott Hanselman to show what’s new in Azure Cognitive Services.  Cognitive Services bring AI within reach of every developer—without requiring machine-learning expertise.  All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps.

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