BigPanda Brings Data Science to IT Incident Management
New Platform Enables IT Teams to Keep Up with the Thousands of Daily Alerts Arising from the Scale and Fragmentation of Modern Data Centers
Mountain View, CA – October 28, 2014 – BigPanda today formally launched the world’s first 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.
Also today BigPanda announced $7 million in Series A funding from Mayfield and Sequoia. Company advisors include IT and infrastructure executives from Dropbox, Splunk, Netflix, VMware and Facebook. To view the funding press release, simply go to: http://www.bigpanda.io/2014-10-28-funding.
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.
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.
Mark Sonis, Operations Architect at Wix, a do-it-yourself website provider, said:
”Troubleshooting issues that once took me up to an hour to deal with, now take 80% less time with BigPanda. They’ve made it much easier to spot critical issues and to stay up-to-date as they evolve.”
Adam Singolda, CEO at Taboola, a content discovery platform provider serving 150 billion recommendations to more than 400 million unique visitors each month, said:
“BigPanda has helped us resolve issues in minutes that had previously led to two hours of downtime!”
Kevin Park, Head of Tech Ops and IT at Dropbox, the popular cloud-storage and file-sharing service, and a BigPanda Advisor, said:
“Any modern Ops environment at scale will hit the pain-points BigPanda is solving. There’s a strong need for this product.”
Donnie Berkholz, Senior Analyst at RedMonk, said:
“Automation continues to expand across traditional IT tasks to meet the increased scalability and reliability needs of growing deployments. BigPanda has brought this capability to Incident Management, taking an algorithmic approach to dealing with the repetitive, labor-intensive work of tracking and resolving incidents spread across complex infrastructures.”
Assaf Resnick, Co-Founder and CEO of BigPanda, said:
“The new generation of IT infrastructure requires a fundamentally different approach to Incident Management. 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.”
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.
BigPanda’s mission is to change the way IT and DevOps teams manage and respond to the thousands of IT issues they face every day. BigPanda uses data science to automate the manual and time-consuming processes involved with IT Incident Management to meet the scale and fragmentation of modern data centers. BigPanda’s team has decades of deep experience in data science and data center infrastructure management. Founded in 2012, the company is backed by Sequoia Capital and Mayfield and headquartered in Mountain View, CA with offices in Tel Aviv. For more information, visit: http://www.bigpanda.io or follow BigPanda on Twitter @bigpanda.
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