Improve service availability with full‑context ops
Improve service uptime by unifying data to deliver actionable alerts, expedite incident response, and reduce service outages.
Detect and resolve critical incidents before they turn into outages
BigPanda enables ITOps teams with full context to prioritize and assign incident remediation within seconds, reducing MTTR by more than 50%.
Improve user experience
Analyze diverse alerts for root cause to get ahead of widespread incident impact and prevent critical outages. Ensure SLA adherence to enhance customer satisfaction and maximize revenue.
Be proactive, not reactive
Detect incidents as they develop and reveal root cause to speed resolution. Full-context data reduces triage and incident response timelines while keeping critical systems online.
Understand the big picture
Centralize, distill, and normalize noisy alert data with Incident Intelligence to automatically surface actionable insights. Utilize full-context data to articulate priority and impact to address priority-zero issues immediately.
Streamline team collaboration
Enhance collaboration with more efficient knowledge sharing. The open and agnostic BigPanda platform centralizes alerts to enable correlation and enrichment, providing the full context of an incident across teams for rapid identification and remediation.
Drive continuous ITOps optimization
Unified Analytics transforms complex IT data into strategic insights. Identify coverage gaps with dashboards to track tool performance, identify recurring issues, and identify of potential availability concerns.
Workflow automation
“We’ve automated an average of 83% of alerts that come into BigPanda. The bulk of our alerts now get resolved automatically. With BigPanda, 95% of NOC SLAs are met.”
Consistent service availability
“By leveraging AIOps, we can ensure the highest level of availability by making sure that we are aware of issues in our environment and are able to resolve them quickly.”
FAQ
How does AIOps impact availability?
BigPanda AIOps centralizes full-context data from across your IT stack, allowing ITOps teams to articulate incident priority and impact. Address and resolve incidents before they become critical to avoid outages and maintain overall system availability.
Why does full context matter for AIOps?
A holistic, full-context approach provides a comprehensive view of system interconnectivity and operational impacts. Full-context AIOps helps you find, comprehend, and resolve incidents consistently at scale. Expedite informed decision-making with multidimensional alert correlation and AI analysis, actionable insights, and automated root-cause analysis.
How does BigPanda help me find the data I need to resolve an incident before getting an SLA penalty?
Most IT teams have over 20 observability and monitoring tools. BigPanda Alert Intelligence reduces alert noise by up to 95% by distilling millions of events into contextualized, actionable, and high-quality intelligent alerts in a single pane of glass. This empowers ITOps teams to rapidly understand what is happening in their environments and resolve incidents quickly.
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