Monitoring & Measurement – SParc Monitor

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Most managed service offerings come with built-in monitoring systems that measure infrastructure for uptime and performance.  These systems are essentially designed to see if the solutions are up and running. They are designed to act as an early warning system in the event of a failure; but rarely succeed. 

Security Partnerships believe that in, for example, the event of a firewall failure the IT helpdesk calls from users unable to connect to the internet or 3rd parties and clients who are unable to do business are a more telling a warning. 

Introducing SParcMonitor

SParcMonitor is a true early warning system that can notify the SParc Team and our clients of potential security issues.  For existing SP clients this notification typically occurs days, weeks and in some cases months before any incident. 

This is made possible because of the unique trigger points that SParcMonitor constantly observes.  Through almost 10 years of experience in dealing with support calls of the highest levels at both an SME and Enterprise level the SParc team has developed significant intellectual property around not only what causes most support calls but also how to avoid them entirely. 

SParcMonitor Benefits

The SParcMonitor service has been developed around this proprietary knowledge of security issues; in real-time the service monitors a clients security suite for a variety of bespoke triggers such as log file thresholds being met, disk utilisation rising, a rise in concurrent VPN users out of hours or an ever slowing internet connection at peak times.  Often the client is aware of such triggers but puts them down to an ‘everyday’ problem. 

Through the SParcMonitor logs, history can very quickly and simply demonstrate that these everyday problems have in fact been growing over a period of time or have recently seen exponential growth.  Such information would become a powerful tool for any customers IT team as it will assist with lifecycle and capacity planning as well as reduce potential downtime through scheduled maintenance.

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