Operations | Monitoring | ITSM | DevOps | Cloud

Quest

Configuring Foglight's ServiceNow Integration

In the world of Performance Monitoring, you are certainly going to hear about use-cases that require integration with third-party solutions such as those used for IT Service Management (ITSM). For our customers using Foglight for Cross Platform Databases this means being able to automatically have an Alert create an incident in the ITSM solution used for Incident Management.

Prepare and Recover from any Active Directory catastrophe

Mistakes, cyber attacks and disasters happen, and without a recovery plan, an Active Directory disaster can stop your business in its tracks. But see in just two minutes how you can prepare and recover from any AD disaster with Quest® Recovery Manager for Active Directory Disaster Recovery Edition.

Monitoring Always On Availability Groups and Always On Failover Cluster in Spotlight

SQL Server provides us with a number of high availability and disaster recovery solutions. Two of them are Always On Availability Groups and Always On Failover Cluster offerings. In order to leverage these options, they themselves need to be constantly evaluated. Therefore, monitoring the health and status of these Always On instances is critical, but how do we optimally configure them in Spotlight? My aim is to provide insight to the configuration steps based on the type of Always On instance.

SQL Optimization

Using Foglight and SQL Optimizer you can identify poorly performing queries and rewrite them or generate a more efficient execution plan. First, use Performance Investigator to identify and select the query you wish to tune, i.e., by number of executions, IO, CPU time, etc. The video explains how to use SQL Optimizer for better query performance.

Using Foglight to collect data from IoT Sensors with MQTT

The IoT, Internet of Things, has arrived. Sensors are everywhere, collecting more and more data about us and the world around us. Temperature, Humidity, Fluid Levels, Traffic counts, the status of devices and things like doors and elevators are being collected and distributed all around us. The question now is "What do we do with all that data?