| Name | Title | Contact Details |
|---|---|---|
Ari Montgomery |
Director of Talent Acquisition and Diversity, Equity and Inclusion | Profile |
Deirdre McClure |
Chief Customer Officer | Profile |
Brandi McVay |
Vice President of People | Profile |
We enable data professionals to monitor, diagnose, and optimize server performance across physical, virtual, and cloud environments. Our software provides unparalleled insight, awareness, and control over the true source of performance issues. SentryOne, formerly SQL Sentry, was started in 2004 as a business unit of InterCerve, a leading Microsoft hosting services provider, in response to the issues faced by organizations managing large SQL Server enterprises. SentryOne`s first product, Event Manager, gave database administrators an innovative visual interface and robust notification system for quickly isolating and resolving schedule-related performance problems. SentryOne continued to expand our ground-breaking suite of tools, with the introduction of Performance Advisor for SQL Server in 2008, Performance Advisor for Analysis Services in 2009, Plan Explorer in 2010, Event Manager for SharePoint in 2011, and Fragmentation Manager and Performance Advisor for Windows in 2012. In 2016 SQL Sentry became SentryOne and introduced the new SentryOne Platform. Our products designed for SQL Server, Analysis Services, and Windows Server provide coverage for your physical environment, while our VMware and Hyper-V products add support for your virtual environments. In addition, our products for Microsoft APS, Azure SQL Data Warehouse, and Azure SQL Database help you optimize specialized environments and cloud based systems. Headquartered in Huntersville, North Carolina, SentryOne products are sold and supported directly and through authorized resellers and partners.
K is the first AI personal health assistant powered by people like you. At K Health (http://khealth.ai) our mission is to empower consumers with trustworthy health information based on the experiences of others. Our team of mathematicians, doctors, and software engineers are using advanced machine learning techniques to turn clinical health data into knowledge that can help you better manage your health.
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