BigPanda formally launched a data science platform to automate IT Incident Management.
BigPanda’s platform analyzes the flood of alerts that IT teams face everyday and clusters them into high-level incidents; it then automates the manual processes involved with detecting, investigating and collaborating around every IT incident. This enables companies to resolve IT issues faster and minimize their impact on customers and revenue.
BigPanda’s core innovation lies in its data science approach that enables automation of the time-consuming process involved in responding to IT issues. They do this through a SaaS platform that aggregates and normalizes alerts from leading monitoring systems, such as New Relic, Nagios and Splunk, as well as home-built monitoring solutions, and then leverages powerful data algorithms to automate the heavy lifting out of Incident Management. BigPanda:
- Consolidates Noisy Alerts: BigPanda automatically clusters the daily flood of alerts into high level incidents, so IT can quickly see critical issues without having to dig.
- Correlates Alerts and Changes: BigPanda correlates IT incidents with the code deployments and infrastructure changes that may have caused them, so IT and DevOps teams have instant access to the data they need to make smart decisions quickly.
- Streamlines Collaboration: BigPanda makes it easy to notify the right people and keep everyone updated on incident status, notes, activities, metrics, and more. It syncs seamlessly with ServiceNow, JIRA and Remedy, which frees IT from having to manually manage tickets and keep them up-to-date.
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