BigPanda formally launched a new data science platform to automate IT Incident Management. BigPanda’s platform analyzes the flood of alerts that IT teams face every day 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.
Data centers have changed dramatically in the last decade. IT and DevOps teams are struggling with traditional approaches to Incident Management that have not kept pace with those changes.
Two major changes, in particular, have been a major source of pain:
- Data Centers have Exploded in Scale and Complexity due to the Cloud and Virtualization. As the moving parts have multiplied, so has the number of IT incidents that require immediate attention. The average BigPanda user has thousands of daily alerts, and that number is growing exponentially. Today, that mountain of alerts must be manually detected, investigated and managed by IT and DevOps teams, which has turned into major drain on time, people and efficiency.
- Data Center Monitoring has become Highly Fragmented. Companies are shifting away from monolithic data center monitoring vendors, like HP and IBM, towards using multiple tools such as Splunk, New Relic, Nagios, Zabbix and Pingdom. Companies use on average five different monitoring tools, none of which speak the same language. When IT incidents occur, correlating alerts and connecting the dots between all those fragmented tools is a time-consuming and error-prone task.
Despite these changes, companies continue to use Incident Management solutions that have not evolved to meet these new challenges. Legacy solutions focus on helping teams to organize and track their activities, but leave the heavy lifting of detecting, investigating and collaborating on alerts up to individuals. That has left IT and DevOps teams struggling to keep up with new challenges arising from data center scale and fragmentation.
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. That’s why we founded BigPanda.”
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.
Any modern Ops environment at scale will hit the pain-points BigPanda is solving. There’s a strong need for this product,” said Kevin Park, Head of Tech Ops and IT at Dropbox.
Pricing and Availability
BigPanda is available for a free 30-day trial. A lite version is available for free; pricing starts at $1,500 per month for a company-wide license.
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