Teams are swimming in event noise.
Despite the prevalence of monitoring tools in ITOps, their observability mission is incomplete. Teams can easily drown in the event noise generated by a plethora of monitoring tools. Meanwhile, IT incidents start to pile up.
Collect, filter, and enrich all IT alerts in one place.
By engineering the raw event data into a high quality stream of information, BigPanda becomes the first pane of glass that IT operations teams can consult in order to quickly understand what is happening in their IT environments.
- Reduce noiseReduce IT noise by 90% with the automatic filtering of duplicates and false positives, helping your team focus on the events that are actually related to IT incidents and outages.
- Optimized alert qualityNormalize and enrich alerts with context to increase alert quality. Now, you can determine alert priority, relevance, and next steps.
- First pane of glassHigh-quality alerts from every monitoring source appear in a single first pane of glass within the BigPanda console. This eliminates the need to switch between tools during incident triage.
The power of
BigPanda ingests events from any of these monitoring sources through a REST API, email alert, or SNMP trap. Most integrations can be set up by users themselves.
BigPanda normalizes heterogeneous data from different monitoring tools into a single, consistent format using general-purpose key-value pairs called tags.
BigPanda intelligently reduces noise by parsing incoming events to recognize duplicates or updates to existing alerts, which are then discarded or merged.
BigPanda automatically suppresses non-actionable events, such as maintenance windows or non-production environments.
BigPanda annotates events with context tags extracted from payload data (like hostnames or clusters) or topology (like a CMDB or service map).
Every time a monitored resource changes state, a new event is generated (sometimes called a flapping event). BigPanda rolls up these events and presents them to users in a single timeline view.
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