Stop Triaging in the Dark: Full Visibility Across Every IT Domain

Alert correlation solved the noise problem. But noise was never the whole problem. Today’s most disruptive incidents cascade across networks, infrastructure, applications, and services simultaneously, without clear visibility into the true root cause. As a result, L1 teams are left manually piecing together context from multiple dashboards and tools to find the primary root cause while SLA clocks keep ticking and end user tickets add up.

With incident correlation, triage is fundamentally different. Rather than grouping alerts into incidents, it uses AI to cluster active incidents across your entire environment, map the full blast radius, and surface true root cause. Unlike observability tools that can only identify root cause through telemetry, BigPanda correlates signals across observability, service desk, change, and historical incidents, giving L1 teams the visibility needed to triage accurately from the moment an incident is detected.

In this webinar, you’ll see:

• Why single-stack root cause only tells half the story, and how BigPanda connects the dots across every observability tool, data source, and IT domain you already use
• Why centralizing your observability data isn’t a prerequisite for accurate root cause
• How AI surfaces the full blast radius and gives every L1 operator senior-engineer instincts from day one
• What happens to escalations, SLA breaches, and L1 workflows when your team finally has the full picture

Speakers:

• Tal Kain, VP of AI Detection and Response at BigPanda
• Nathan Bao, Senior Product Marketing Manager at BigPanda