More and more organizations are moving to the cloud to leverage the key benefits of agility and reduced overall cost. Its likely that at some point in time, your SQL Server will manifest as either of the three implementations in Azure.
Transitioning to the Platform-as-a-Service model typically implies relinquishing certain degree of control over your computing environment. One of the primary concerns related to this transition is diminished level of transparency providing insights into performance of cloud-resident workloads. Fortunately, with Azure SQL Database, you have a wide range of options that address this concern, allowing you to identify and remediate overwhelming majority of performance-related issues.
With Azure SQL Database Hyperscale, databases can quickly auto-scale up to 100TB, eliminating the need to pre-provision storage resources, and significantly expand the potential for app growth without being limited by storage size.
Information protection becomes one of the dominant factors that drive modern database design and implementation. This becomes particularly evident when operating in a cloud computing environment, with Azure SQL Database serving as one of the prime examples of this trend. Microsoft delivers relevant features by leveraging several different security-related Azure services. In this article, we will provide an overview of this functionality.
Determining the number of DTUs which will help in deciding the service tier for Azure SQL.
Site-wide or region-wide disasters, while undoubtedly more impactful, happen considerably less frequently than downtime resulting from scheduled maintenance events or isolated hardware and software faults. This article provides an overview of the high availability features of Azure SQL Database that mitigate risks affecting services within an individual Azure datacenter, rather than an entire Azure region.