Proactive incident response for site reliability engineers
Reduce alert noise and manual effort while improving reliability with solutions to automate incident response workflows.
Eliminate manual tasks for site reliability engineers
Eliminate the alert fatigue, redundant work, and lack of incident context that divert teams from innovating and increase reliance on development teams.
Make operational data actionable
Profile alert clusters based on attributes, automatically understand their impact, and raise issues that include the descriptive metadata and context needed for quick response.
Eliminate repetitive manual tasks
Use context-aware workflow automation to avoid errors and enforce consistent incident management workflows based on business rules and real conditions.
Provide insight for proactive response
Leverage generative AI and machine learning to automatically identify incident dependencies, impact, and root cause without relying on your CMDB.
Improve workflows, processes, and outcomes
Gain insights about the operational characteristics of your incident management to standardize and improve collaboration across teams.
“[AIOps] saves us time, letting us focus on resolving problems instead of combing through thousands of alerts to find the problem. It’s transformational and game‑changing.”
“The rapid, automated extraction of meaningful insights from our complex IT alert environment not only makes us better at L1 response but also reduces escalations to our L2 and L3 experts.”
Jeremy Talley
Lead Operations Engineer, Robert Half International
FAQ
How does BigPanda reduce manual efforts for site reliability engineers?
AI-driven event correlation distinguishes signal from noise, reducing alert volumes. BigPanda correlates the remaining alerts and enriches them with operational data, historical data, and business process and impact information. This gives SREs and developers full incident scope and probable root cause, eliminating the need to gather information from other sources or teams.
How does BigPanda improve problem management across teams and tools?
Operational dashboards within BigPanda provide insights into improving the stages of incident management, including monitoring accuracy and reducing manual work. This transparency allows product teams to see the benefits of standardizing and automating workflows, including fewer alerts, fewer incidents, and improved service level indicators.
What solutions can help SREs prepare for modern monitoring?
Unified Analytics empowers site reliability engineers to ensure monitoring effectiveness using out-of-the-box dashboards that track alert quality, event processing, and actionability. This data-driven approach helps SREs identify areas for monitoring improvement and reduces downstream efforts by ensuring alerts are actionable from the start.
What auto-remediation solutions are available?
BigPanda generates rich, contextualized incidents from monitoring, observability, topology, CMDB, and other enrichment sources to identify signals that match automation rulebooks. A certified integration with Ansible simplifies automation of incident response while ensuring teams have the transparency required to execute with confidence.
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