Catchpoint Adds On-Prem Capabilities to IT Monitoring Software

Older version only monitored cloud infrastructure

Michael Vizard

June 1, 2015

2 Min Read
(Photo by Michael Bocchieri/Getty Images)

As IT by definition becomes more distributed, it naturally becomes more complex to manage. To enable IT organizations to rise to that challenge, Catchpoint Systems announced an implementation of its IT monitoring software that can now be deployed on-premise.

Originally developed to monitor applications and systems deployed in the cloud, Catchpoint CEO Mehdi Daoudi says, the software is now extending its reach out to local data center environments.

The thing that differentiates Catchpoint most, he says, is that the company has invested heavily in reducing the number of false alarms that most IT monitoring tools generate.

“There’s no way to completely eliminate false positives,” says Daoudi. “But we’ve done a lot more work than everybody else to minimize them.”

That effort means internal IT staff don’t wind up ignoring all the alerts generated by the IT monitoring system because they can differentiate between what is potentially a serious situation and noise being generated by the system.

IT organizations can define alerts based on the timing, content, code, network health, and availability. Alerts can be based on static thresholds, dynamic historical values, or detection of trend shifts so you can be notified the moment things start to slow down.

Issues can be escalated of different members of the team with “warning” and “critical” thresholds. The alerts themselves can be sent via email, SMS or the Catchpoint Alert Push API.

Based on a NoSQL database developed by Catchpoint, all the data collected by Catchpoint is stored in tis raw form. The company than applies an analytics engine to help correlate all the data residing in that database.

Daoudi says Catchpoint OnPrem Agent enables IT organizations to run multiple tests simultaneously and store up to three years of raw data for historical analysis. The OnPrem Agent runs all synthetic tests now available on Catchpoint’s existing service.

That capability is key, says Daoudi, because it enables IT organizations to slice and dice data in multiple ways to better discover the source of a particular problem using a NoSQL database designed to handle the massive amounts of Big Data generated by IT systems.

Longer-term, according to him, IT organizations are unlikely to move every application into the cloud. As a result, Daoudi says, IT monitoring tools need to be applied across multiple hybrid cloud computing environments.

Via Catchpoint, IT organizations now have the ability to use the same core technology to do both.

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