Automatically identify the
root cause of an IT incident
Reduce MTTR by up to 50% by harnessing AI to automatically identify the underlying cause of an IT incident and its impact across complex hybrid cloud deployments.
See it in action
How Automated Root Cause Analysis works
BigPanda AI automatically identifies the factors causing IT incidents and suggests actions in real-time how to resolve them.
Detect IT incidents with relevant data
BigPanda correlates alerts across your hybrid cloud deployments with change, topology, and available CMDB data to build actionable and contextually rich incidents in real-time.
Determine the change that triggered an incident
Visualize the full history of alerts chronologically to understand where the problem with an incident first started.
Identify change-related root cause of an incident
Advanced AI identifies high-confidence alerts and change data matches, providing users with a comprehensive view of statistically important changes that caused the incident.
Confidently identify and explain impact across IT systems
BigPanda Generative AI explains the probable root cause and impact of incidents across interrelated IT systems in a natural, easy-to-understand way.
FAQ
What is Root Cause Analysis (RCA)?
Why use Root Cause Analysis (RCA) for IT Operations?
What are Root Cause Analysis techniques?
How to do Root Cause Analysis?
A Root Cause Analysis is typically conducted post-mortem using RCA techniques. However, your team must also prioritize swiftly identifying issues in real-time, automating root causes, and fixing the root causes at their source to gain efficiency. Learn how to conduct a Root Cause Analysis in our blog.