The Basic, Standard, and Premium service tiers fulfill a lot of customers’ needs.

For some customers, though, the General Purpose, Business Critical, and Hyperscale service tiers offer additional performance and ability that is required for certain workloads.

Even if you don’t require those abilities, the technology and infrastructure behind these are worth learning.

In this episode with Matt Gordon, we’ll discuss those service tiers as well as discussing the differences between Provisioned and Serverless deployments on the General Purpose tier. Come learn how to ramp up your Azure SQL Database experience!

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Learn about two Azure services developers use to build fast and responsive applications.

First, Program Manager Thomas Weiss walks through the new serverless model for Azure Cosmos DB, the fast NoSQL database built to run mission-critical applications at any scale.

Then, take a tour of Azure Cache Redis, a fully managed cache service that helps applications scale as they gain more users.

Program Manager Carolina Uribe-Gosselin will share an overview of the service and the powerful new integration of Redis Enterprise in partnership with Redis Labs.

Additional resources:

Azure Cosmos DB explains how there are new, cost-effective ways to run applications of any size and scale with Azure Cosmos DB.

Explore the standard and autoscale provisioned throughput offers available today for Azure Cosmos DB, and the new serverless offer that will become available very soon.

Choosing the right offer for your workload will help match performance and costs, and reduce – or eliminate – capacity planning and monitoring.  

Related Links:

Ayman El-Ghazali recently presenting this Introduction to Databricks from the perspective of a SQL DBA at the NoVA SQL Users Group.

Code available at:https://github.com/thesqlpro/blogThis is an introduction to Databricks from the perspective of a SQL DBA. Come learn about the following topics:

  • Basics of how Spark works
  • Basics of how Databricks works (cluster setup, basic admin)
  • How to design and code an ETL Pipeline using Databricks
  • How to read/write from Azure Datalake and Database
  • Integration of Databricks into Azure Data Factory pipeline

Code available at:  https://github.com/thesqlpro/blog

Automate and manage your cloud-native, hybrid, and even on-premises resources using PowerShell. Eamon O’Reilly, who’s leading the efforts at Microsoft for serverless automation, shows you how to get started.

If you’re new to Azure Functions, this is Microsoft’s event-driven serverless compute in Azure. You can execute code or a script, allowing you to automate rules, configuration, and processes. Because it’s on demand, you only pay for the exact time needed to run that function- right down to the second.

Think serverless is just for functions? Think again!

Brendan Burns joins Donovan Brown to look at how serverless containers can provide a cloud-native container experience without the worry of a server or operating system.

They also look at how this integrates with the Azure Kubernetes Service (AKS).

Related links:

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.

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