Centralize & Correlate Your Icinga2 Alerts
BigPanda intelligently clusters your Icinga2 alerts into high-level incidents, so you can spot critical issues faster. Finally, there’s an alternative to filtering through thousands of Icinga2 alerts, pages and emails by hand.
You can also correlate Icinga2 alerts against other alerting tools in your monitoring stack, as well as code deploys, configuration changes and other events.
Data Science to Tame Your Icinga2 Alerts
BigPanda’s powerful aggregation engine normalizes alerts from Icinga2 and all of your other monitoring systems into a single unified data model. Then, BigPanda uses cluster analysis and statistical learning to analyze your alert stream in real-time and group related alerts into high-level incidents that are much easier to detect & understand.
BigPanda can often reach 99% correlation between alerts (with very high levels of accuracy).
Reduce Mean-Time-to-Detection by 95%
BigPanda automatically maps out the relationship between your IT alerts and intelligently groups them along a variety of attributes, such as: host, cluster, application, micro-service, data center, or any other customizable variable.
By clustering noisy alerts, BigPanda helps IT teams spot critical issues faster and reduces mean-time-to-detection by up to 95%.
Get More Out of Icinga2
Icinga2 is great at system monitoring, but it can generate a lot of noisy alerts. And those alerts often lack context about relevant information from other layers of your IT stack. That means IT teams have to manually search for more clues and connect the dots. That’s a lot of overhead.
BigPanda can help. BigPanda correlates your Icinga2 alerts with each other, as well as your other monitoring, metrics, and change management systems, such as: Splunk, New Relic, AppDynamics, Pingdom, Graphite and more.