Blue Medora Expands SelectStar to Support Microsoft Azure, Azure SQL

GRAND RAPIDS, MI--(Marketwired - April 27, 2017) - Blue Medora, a leading innovator in IT operational analytics (ITOA) for enterprise cloud, database and infrastructure management, today 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.

Organizations 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 individualized cloud-native or on-premises proprietary solutions by enabling database administrators (DBAs) to track and optimize 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 normalized view of more than 95 percent of production cloud-native or on-premises databases and their underlying cloud or virtualized infrastructure. The platform is ideal for organizations 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 organization's environment, including prioritized 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.

The new SelectStar services for Azure and Azure SQL are available immediately from Blue Medora. For more information, visit www.selectstar.io/integrations/cloud.

Additional resources:

SelectStar Product Page on Cloud
Video: 5 Steps for Better Azure SQL Performance (for Devs and accidental DBAs)
Blog: 5 Steps to Better Azure SQL Performance

About Blue Medora:
Blue Medora software solutions tie together data from virtualized and cloud-based databases, applications and services with the critical underlying compute, storage and network infrastructure to create a unified view of the infrastructure. These capabilities are delivered as platform extensions for VMware's vRealize cloud management software. Blue Medora also offers its own IT operational analytics (ITOA) platform, SelectStar, that combines comprehensive database and cloud infrastructure monitoring to help organizations track and optimize critical database performance and availability metrics.

Blue Medora's products enable IT operations and DevOps teams to work collaboratively and proactively to avoid downtime, resolve performance problems and make better decisions using more comprehensive analytics. Blue Medora believes true visibility into business critical applications is only achieved when enterprise technology teams communicate without barriers.