SQL Sentry makes Microsoft Windows Server performance monitoring easier. With SQL Sentry, you can correlate and track Windows performance metrics and processes, grouping by applications such as SharePoint, Internet Information Services (IIS), SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).
SQL Sentry provides OS insight around disk latencies, disk space, and core resource utilization. The Hyper-V host dashboard allows you to see how resources are being allocated and utilized by virtual machines and
SQL Sentry empowers you to troubleshoot SQL Server performance problems with confidence by providing full visibility into your entire database environment, including Windows.
The dashboard provides a per-VM breakdown of resource utilization, helping you find the “noisy neighbor” that could be causing performance issues.
Allows you to identify which OS processes are consuming resources at any time, and automatically groups common processes into their application groups, such as SQL Server, IIS, and server host.
SQL Sentry provides pre-defined Advisory Conditions (Advisory Conditions Pack) to get you started, but the Advisory Conditions interface allows you to build new conditions for virtually anything you can imagine, from a single query to test the status of your in-house application to complex tests involving conditional logic and multiple Advisory Conditions.
Use an Outlook-style calendar to view Windows Event Log and manage schedules for Windows Task Scheduler.
Quickly and easily define dependencies and workflows involving Windows tasks with SQL Sentry's advanced job chaining features.
Take advantage of pre-formatted reports available on any metrics SQL Sentry collects, from a global level down to individual counters. Along with the SQL Sentry Performance Analysis Dashboard, you can quickly gain an understanding of Windows performance in your monitored environment.
Discover potential problems before users do, using a multitude of built-in alerting conditions covering everything from server outages to long-running jobs and queries.