Cut alert noise and radically reduce MTTR at Fidelity Investments
Fidelity Investments runs on AppDynamics, Datadog, Dynatrace, Splunk, and ServiceNow. BigPanda connects those signals so your SRE teams can focus on and fix the most important issues.
Fragmented incident operations are slowing Fidelity down
Fidelity serves millions of investors across trading, retirement, and wealth management. When alert correlation breaks down across AppDynamics, Datadog, Dynatrace, and Splunk, MTTR climbs, and service reliability suffers.
- Signals across five monitoring tools are not correlated.
- Incident detection is slow without a unified view.
- Lack of analytics makes it hard to improve operations over time.
BigPanda can give Fidelity end-to-end visibility across its IT stack
BigPanda ingests signals from AppDynamics, Datadog, Dynatrace, New Relic, Splunk, and Moogsoft and correlates them into unified, actionable incidents, without replacing any existing tools.
- Instantly and automatically surface root cause so your teams can stop manually chasing noise.
- Enriches ServiceNow tickets with correlated alerts, changes, and context.
- The BigPanda AI Incident Assistant reduces investigation time for SRE teams.
BigPanda can help Fidelity close the alert correlation gap
Prevent recurring incidents
BigPanda AI Incident Prevention evaluates changes against historical incident patterns, identifying recurring failure signatures before they cause outages and allowing Fidelity’s operations teams to stop incidents before they occur.
Correlate alerts across a fragmented stack
BigPanda AI Detection and Response ingests signals from AppDynamics, Datadog, Dynatrace, New Relic, Splunk, and Moogsoft and correlates them into unified, service-aware incidents so operators act on what matters instead of chasing noise.
Reduce MTTR and investigation time
When an incident occurs, the AI Incident Assistant automatically surfaces historical context, probable root cause, and change correlation, so SRE and operations teams spend less time investigating and more time resolving.
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 your ITSM team. Existing workflows stay intact, and responders get better, faster signals.
How does BigPanda handle environments with multiple overlapping monitoring tools?
BigPanda connects to existing observability tools without replacing them. The IT Knowledge Graph builds a working model of the environment from live data across AppDynamics, Datadog, Dynatrace, New Relic, Splunk, and Moogsoft, correlating signals into unified incidents without requiring a pristine CMDB or manual rule maintenance.
How does BigPanda compare to building correlation capabilities in-house?
Building correlation in-house requires significant ongoing engineering investments to maintain rules, adapt to infrastructure changes, and scale across tool sprawl. BigPanda uses AI and the IT Knowledge Graph to do this automatically, delivering faster time-to-value and freeing engineering teams to focus on reliability rather than tooling.
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