Home Applications Lakeside Software Introduces the SQL Server Administration Kit

Lakeside Software Introduces the SQL Server Administration Kit

Lakeside Software Introduces the SQL Server Administration Kit

Database administration is an important role within IT. Ensuring the backend infrastructure is available and functioning well is critical to the end users. If a SQL Server that’s hosting the backend of a Citrix XenApp farm has no available disk space then users won’t be able to launch any new sessions, which would cause massive problems for any company. It’s a simple example with big consequences, but database administration is often avoiding the big consequences by watching the little things. SysTrack natively collects a lot of great SQL Server related data, and we’ve launched a SQL Server Administration Kit to provide some focused dashboards and reports to visualize that data. Here’s an overview of the content you’ll find in the Kit.

SQL Server Inventory and Overview

This dashboard provides a concise overview of the observed SQL Servers. Having this kind of information readily available and nicely summarized makes it easy to keep track of your SQL assets. The dashboard includes basic resource allocation, database configuration details, and system health observations and trends. A great use case for this dashboard is checking resource allocation against the system health. If, for example, memory is the leading health impact, you can instantly see the allocated memory and decide if adding more makes sense. Also included is a drill-down to SysTrack Resolve, making the jump from basic observations like that to diving into more detailed data as easy as double-clicking the system name.

Read the entire article here, Introducing the SQL Server Administration Kit | Lakeside Software

via the fine folks at Lakeside Software.

Lakeside Software Lakeside Software is a leader in Workspace Analytics. We make SysTrack, a scalable, people-centric solution that helps organizations better understand and support end-users' computing needs and habits, as well as make sourcing and deployment decisions based on real data.

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