Cut MTTR and reduce alert noise across JPMorgan Chase
JPMorgan Chase runs Datadog, Dynatrace, AppDynamics, Splunk, and ServiceNow. BigPanda unifies those signals so your SRE teams can detect and resolve incidents faster.
JPMorgan Chase’s IT challenges require innovative solutions
JPMorgan Chase runs an active initiative to reduce MTTD, meet SLAs more reliably, and move toward self-healing incident response. Fragmented tooling is making it harder to reach those goals.
- Moogsoft and Netcool are not keeping pace with modern infrastructure.
- MTTD and MTTR targets are at risk without improved signal quality.
- SLA adherence suffers when incidents lack a unified context.
Gain an end-to-end view across JPMorgan Chase’s SRE stack
BigPanda correlates signals from AppDynamics, Datadog, Dynatrace, Splunk, and Netcool into a single incident view. This gives SRE and NOC teams a trusted source to act from.
- Automatically surface root cause so engineers don’t have to investigate manually.
- Automatically enrich ServiceNow tickets with context, changes, and root cause.
- BigPanda AI Incident Prevention flags risky changes before they impact production systems.
How JPMorgan Chase can apply BigPanda
Prevent incidents before they reach the NOC
BigPanda AI Incident Prevention evaluates every change against historical incident patterns, flagging high-risk deployments before they cause outages and giving SRE teams a proactive posture.
Unify alert signals and accelerate detection
BigPanda turns fragmented alerts from six monitoring tools into unified, service-aware incidents — so SRE teams spend less time triaging noise and more time resolving what actually matters for SLA adherence.
Cut bridge call time and accelerate resolution
When a P1 fires, the BigPanda AI Incident Assistant surfaces historical context, change correlation, and probable root cause before the first responder joins — reducing resolution time and shrinking the number of teams pulled into every incident.
Trusted by leading enterprise IT teams
“BigPanda saves us a lot of time and lets us focus on resolving problems instead of combing through thousands of alerts to find out what the problems are. I’ve been at this game for over 20 years, and this is the first time I’ve had any real success in doing that. It’s really transformational and game-changing.”
FAQ
How does BigPanda work alongside existing ServiceNow deployments?
BigPanda sits upstream of ServiceNow, automatically enriching incidents with correlated alerts, change data, and root cause context before they reach the ITSM team. Existing workflows, assignments, and escalation paths stay intact, and teams receive better, faster signals.
How does BigPanda complement tools like Moogsoft and Netcool that are already in place?
BigPanda does not replace existing event management tools. It unifies them, ingesting signals from Moogsoft, Netcool, Datadog, Dynatrace, and more, and correlating them into a single incident view. Teams get improved signal quality without removing tools or disrupting current workflows.
Can BigPanda support a self-healing incident response model for SRE teams?
Yes. The BigPanda AI Incident Assistant surfaces root cause, historical context, and suggested actions automatically — reducing manual investigation and enabling SRE teams to build automated runbooks around reliable, enriched incident data. This is the foundation for a self-healing operations model.
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