Azure SQL Devs’ Corner

Voices from the Azure SQL PM Team, focusing on development and developers

Maximizing Azure SQL Database performance with a globally distributed Redis write-behind cache

Azure SQL Database is a fully managed platform as a service (PaaS) relational database service. With Azure SQL Database, you can create a highly available and high-performance data storage layer for the applications and solutions in Azure. SQL Database can be the right choice for a variety of modern cloud applications because it enables you to...

Connecting the Dots of Azure SQL CICD Part 2: Local Development

Join us for part two of our Azure SQL database change management (CICD) series. This post covers local development environments with Visual Studio Code. Prerequisites Check For Database Projects to deploy correctly, we need to have the .NET Core SDK installed. You can get it here with a direct link for windows x64 here. You can also ...

Planning new scenarios and use cases for Azure SQL Database local development experience!

At Microsoft Build 2022 we've announced the new Azure SQL Database local development experience to the world. The combination of Visual Studio Code and Azure Data Studio extensions in addition to the new Azure SQL Database emulator for local and offline database development are aimed to significantly improve developers' experience and boost ...

Optimize storage usage for large volumes of IoT data with Azure SQL

IoT with Azure SQL IoT solutions are generally producing large data volumes, from device to cloud messages in telemetry scenarios to device twins or commands that need to be persisted and retrieved from users and applications. Whether we need to store data in “raw” formats (like JSON messages emitted by different devices), to preserve and...

Ingest millions of events per second on Azure SQL leveraging Shock Absorber pattern

IoT with Azure SQL IoT workloads can be characterized by high rates of input data, on both steady and burst streams, to be ingested from devices. A common design pattern for relational database systems involves a “landing zone” (or staging area) which is optimized for “absorbing the shock” of this high and spikey input rate, before ...

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