Upstart BigPanda, which is dedicated to managing IT issues in the data center, has scored $7 million in Series A funding. The funds come at an opportune time, as the company just launched its first data science platform for automated IT incident management. The new funding round will be used to grow the company and expand its development roadmap.
BigPanda’s offerings coincide with an explosion in cloud and data center usage, which has created challenges for IT and DevOps teams. These administrators are charged with managing and responding to thousands of IT issues each day, and BigPanda seeks to simplify that process through its IT Incident Management platform.
The new solution analyzes IT alerts and clusters them into high-level incidents, automating the manual processes associated with detection, investigation and collaboration of every IT incident. The end goal is to enable IT teams to resolve issues quickly and minimize impact and disruption for customers and revenue.
“The new generation of IT infrastructure requires a fundamentally different approach to incident management,” said Assaf Resnick, co-founder and CEO of BigPanda. “We believe that only through leveraging data science can IT teams tackle the scale of machines, events and dependencies that must be understood and managed.”
The company’s SaaS platform aggregates and normalizes IT alerts form a number of monitoring systems like New Relic, Nagios and Splunk (News - Alert). It also works with home-built systems, using data algorithms to automate the entire incident management process. Features include consolidation of noisy alerts by clustering them into high-level incidents to separate critical issues. The platform also correlates IT incidents with code deployments and infrastructure changes so both IT and DevOps teams know immediately what course of action they need to take to “roll back.” The offering also syncs with ServiceNow, JIRA and Remedy to notify the proper departments and people about incident status, activities and metrics. This saves IT staff from having to manually manage trouble tickets and communications.