Keep DraftKings’ always-on platform running reliably
DraftKings runs Datadog, Dynatrace, New Relic, Splunk, and ServiceNow. BigPanda connects those signals so your ops teams can detect and resolve incidents before they impact users.
Outages are putting DraftKings’ platform and users at risk
DraftKings powers live sports betting for millions of users, around the clock. When incidents go undetected across Datadog, Dynatrace, New Relic, and Splunk, every minute of delay can impact millions of fans
- Alert signals are fragmented across multiple monitoring tools.
- Manual triage slows incident detection at critical times.
- ServiceNow lacks the enriched context needed to act fast.
BigPanda delivers end-to-end visibility across DraftKings’ full ops stack
BigPanda AI Detection and Response ingests signals from Datadog, Dynatrace, New Relic, Splunk, and Moogsoft and correlates them into unified incidents, so operators can act faster inside ServiceNow.
- Automatically surface root cause so teams stop chasing noise manually.
- Enrich ServiceNow tickets with correlated alerts and change context.
- The BigPanda L1 Agent automates triage and routing for ops teams.
BigPanda can help DraftKings build AI-ready ITOps
Enhance ServiceNow with AI-powered detection
AI Detection and Response transforms how alerts from Datadog, Dynatrace, New Relic, and Splunk flow into ServiceNow, automatically correlating signals into prioritized incidents so operators focus on critical issues, not firefighting.
Automate triage for always-on ops teams
The L1 Agent automatically analyzes, prioritizes, and routes incidents without manual intervention, enabling DraftKings’ operations teams to maintain 24/7 platform availability.
Resolve incidents faster during live events
When a P1 incident occurs during a live game, the BigPanda AI Incident Assistant automatically surfaces historical context, change correlation, and probable root cause, so engineers spend less time investigating and more time restoring service.
Trusted by enterprise IT teams
“Before BigPanda, we had times when multiple incidents would trigger alerts from three or four different monitoring and observability tools. With all that noise, we didn’t have visibility into alert impact, and could not quickly identify root cause to know where to focus our triage efforts. With BigPanda, our IT noise is not only reduced, but we are able to identify root cause in real-time.”
Priscilliano Flores,
Staff Software Systems Engineer, Sony Interactive Entertainment
FAQ
How does BigPanda enhance ServiceNow for IT operations teams?
BigPanda sits upstream of ServiceNow, automatically enriching every incident with correlated alerts, change data, and root cause context before it reaches the ITSM team. Operators get better signal quality inside ServiceNow without changing existing workflows or replacing any tools already in place.
How does BigPanda work alongside PagerDuty in on-call environments?
BigPanda and PagerDuty are complementary. BigPanda correlates and enriches alerts from Datadog, Dynatrace, New Relic, and Splunk into unified incidents before they trigger PagerDuty notifications, reducing alert fatigue and ensuring on-call engineers are paged for real issues rather than noise.
How quickly can BigPanda show measurable value after deployment?
BigPanda connects to existing tools and starts correlating signals immediately without requiring infrastructure changes or a completed migration. Most enterprises see measurable noise reduction within the first weeks of deployment, with ServiceNow ticket quality improvements visible from day one.
E-BOOK
Transform ITSM with Agentic ITOps

