Microsoft: How cloud speed helps SQL Server DBAs
A few years ago, the Microsoft SQL Server product team introduced a new cloud Platform-as-a-Service (PaaS), Azure SQL Database, which shares the SQL Server code base. Running a cloud-first service required significant changes to the legacy SQL Server engineering model which took years of investment in order to fully enable. With these engineering model changes came big benefits which positively impacted both Azure SQL Database and SQL Server.
Even if you are a SQL Server database administrator who isn’t using Azure SQL Database today, you’ll still be seeing benefits from Microsoft’s investments in the cloud. This blog post will review how engineering model transformations, driven by cloud requirements, resulted in several improvements in how we build, ship and service SQL Server.
Features arrive faster In the earlier days of SQL Server (2005 through 2012), SQL Server had roughly three-year long engineering cycles. For each planned release of SQL Server, a significant amount of planning would go into the up-front design, using a waterfall-like software development process coordinated across different teams. This included the generation of functional specification documentation by program managers, design specifications by developers and automated testing code developed by testers.
Read the entire article here, How cloud speed helps SQL Server DBAs | Blog
Via the fine folks at Microsoft.