SQL Doctor for the Hybrid Cloud

With SQL Doctor, tune the health, performance, and security of Microsoft SQL Server for physical, virtual, and cloud environments. SQL Doctor runs on cloud virtual machines with Microsoft Windows. It can access mapped cloud drives. It supports tuning of instances of SQL Server on cloud virtual machines, and the SQL Server cloud databases Amazon Relational Database Service (RDS) for SQL Server and Microsoft Azure SQL Database.

In this solution brief learn how to install SQL Doctor on virtual machines, access mapped cloud drives, tune SQL Server on cloud virtual machines, and tune SQL Server cloud databases.

As organizations migrate their databases to the cloud, database administrators need to consistently manage databases on-premises and in the cloud with existing staff and tools. While it is relatively straightforward to provision and manage databases on virtual machines in the cloud, cloud databases (that is, database as a service) require careful planning. Cloud databases are deceptively simple since cloud providers remove much of the complexity of configuring and managing on-premises databases. However, from the perspective of database administrators, is that a good thing or a bad thing?

Typical concerns with migration to the cloud are moving data to the cloud without impacting application performance, determining the best database-specific settings, ensuring that databases are being correctly maintained without access to the full database infrastructure, configuring for high availability and disaster recovery, balancing performance and cost, and managing databases in the cloud and on-premises without learning multiple tools.

There is no need to fear the cloud when managing the performance and availability of cloud and traditional databases with a single tool. By eliminating the steep learning curve associated with new tools for cloud databases, free up time for new organizational needs, adopt databases in the cloud confidently, and avoid making critical errors with new cloud databases.