Learn more about the deployment options for Azure SQL Database. 

More information.

[00:00] – Introduction
[00:41] – Deployment options in Azure SQL Database, including elastic pool, single database and Managed Instance
[03:33] – DTU service tiers (Basic, Standard, Premium)
[07:08] – vCore service tiers (General Purpose, Hyperscale, Business Critical)
[08:08] – General Purpose tier: Provisioned vs Serverless
[09:16] – Compute Generation: Gen4 vs Gen5
[10:01] – Decision points for Provisioned vs Serverless compute tiers
[13:25] – Saving money with Azure Hybrid Use Benefits
[13:58] – Business Critical tier and read scale-out
[15:42] – Hyperscale tier
[21:03] – Summary of deployment options
[22:17] – Finalizing the creation of a new Azure SQL Database
[23:02] – Summary and wrap-up

A critical characteristic of cloud native architectures it the ability to dynamically scale and support massive numbers of users, events, and requests on these distributed applications and teams.

Serverless can help in these challenges without having to worry about infrastructure or even an entire application.

Watch this video to see how does serverless fit into the plan for cloud native apps.

Links:

Gaurav Malhotra joins Scott Hanselman to show how wrangling data flows in Azure Data Factory.

This provides  a code-free, serverless environment that simplifies data preparation in the cloud and scales to any data size with no infrastructure management required.

It uses the industry-leading Power Query data preparation technology (also used in Power Platform dataflows, Excel, and Power BI) to prepare and shape the data. Built to handle all the complexities and scale challenges of big data integration, wrangling data flows enable use Apache Spark execution to help you easily prepare data at scale.

.NET developers have been taking advantage of dependency injection (DI) to make their code easier to test and manage.

The latest update to Azure Functions v2 now has support for registering services with DI.

In this episode, Fabio Cavalcante from the Azure Functions team joins explains how this feature works.

Useful Links

In this episode of Five Things, Eduardo Laureano from the Azure Functions team brings you five things you can do with Serverless that you might not realize are even possible. Also, Burke wears a sweater vest and Eduardo insinuates that there is a better candy than Goo Goo Clusters. The nerve.

Links: