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Catchpoint Systems Performance Alerts Now Integrate With Popular IT Monitoring and Alert Management Software

DevOps, IT Teams Can Detect and Resolve Service Problems

New York, NY – (March 24, 2016)  Catchpoint Systems, Inc., a digital performance analytics company, today announced several new integrations
with popular IT monitoring and alert management systems, including BigPanda, Datadog, Opsgenie, Pagerduty, Slack, VictorOps and Zapier.

Catchpoint Systems delivers digital performance monitoring tools measuring the performance (speed and availability) of websites, mobile sites and applications. These include both internal enterprise productivity applications and customer-facing web applications. The new integrations will enable DevOps and IT teams to achieve even more comprehensive IT monitoring and decisive alert management, reducing mean-time-to-repair
(MTTR) for performance-impacting incidents, and in many cases pre-empting incidents completely.

“IT monitoring and alerts offer deeper insights when correlated and analyzed in aggregate. Catchpoint’s interoperability with popular tools allows organizations to enrich and optimize their overall IT monitoring and alert management efforts,” says Mehdi Daoudi, CEO, Catchpoint Systems. “Ultimately, the result is improved productivity and the ability to find and fix application performance problems faster, ideally before end-users become aware of them.”

“BigPanda has always been committed to partnering with best-of-breed providers, and we’ve seen the number of shared clients with Catchpoint Systems grow significantly in recent months. Integrating Catchpoint’s solution into our platform makes it easy for those clients to aggregate all of their monitoring alerts in one place, letting them reduce alert noise and spot critical issues faster,” said BigPanda VP of Product Dan Turchin. “With Catchpoint and the powerful event management BigPanda provides, our joint clients can measurably improve service health visibility.”

The Catchpoint integrations announced today include: