Blue Medora expands SelectStar

SelectStar is the first cross-platform database performance software to include infrastructure insights from the two largest public cloud providers in a single view.

  • 6 years ago Posted in
Blue Medora has expanded its SelectStar SaaS database performance solution to support Microsoft Azure and Azure SQL databases. SelectStar for Azure provides metric-based and deep-dive monitoring for Azure native database workloads, enabling users to see query-level metrics on their Azure SQL databases.
 
Organisations are migrating production databases to the cloud for efficiency, cost and scale, but application performance and availability requirements often dictate a hybrid cloud, multi-DBMS environment. SelectStar for Azure offers a unique advantage over individualised cloud-native or on-premises proprietary solutions by enabling database administrators (DBAs) to track and optimise critical database performance and availability issues in these heterogenous environments with the same ease as a proprietary, on-prem stack.
 
The SelectStar performance platform delivers a normalised view of more than 95 percent of production cloud-native or on-premises databases and their underlying cloud or virtualised infrastructure. The platform is ideal for organisations migrating their SQL stack to the cloud to save costs, and for those who support DevOps teams that depend on cloud-native databases to deploy new applications faster. 
 
“We’ve seen rapid growth in the Azure Cloud due to the increasing adoption of a multi-cloud strategy fueled by major outages and the rise of cloud-based data warehouses that were once on-prem SQL deployments” said Mike Kelly, CTO of Blue Medora and GM of SelectStar. “SelectStar’s Azure integration offers the best of both worlds, allowing DBAs to enjoy the cost and availability of multi-cloud environments while maintaining the visibility of single-stack solutions.” 
 
Key benefits of SelectStar Microsoft Azure Monitoring include:
 
?      Query Deep Dive Dashboard: Individual query analysis in context with other database query times for benchmarking, faster troubleshooting.
?      Relationship Scaling: Key metrics about the underlying Azure infrastructure, like DTU and Elastic Pool usage to prevent throttling and oversubscription.
?      Expert Recommendations: Embedded expertise for “accidental DBAs,” built-in recommendations to proactively repair Azure SQL performance and availability issues before the system triggers an alert.
?      Dynamic Database Dashboard: A comprehensive overview of every database in an organisation’s environment, including prioritised alerts and recommendations as well as  current database health in one view.
?      Advanced Analytics Dashboard: Report on query by name, average wait time, current wait time and lock time, executions, warnings and errors for an individual Azure SQL instance.
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