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BigPanda Launches Automatic Incident Triage

New Capability Gives IT Ops Teams Business Context to Inform Incident Triage, Increase Availability of Applications and Services and Dramatically Reduce Incident Resolution Cycles

BigPanda announced the availability of Automatic Incident Triage, a new platform component that significantly reduces the manual toil associated with the triage phase of incident management.

Automatic Incident Triage reduces the “mean-time-to-resolve” (MTTR) for applications and services by enabling IT Ops and NOC teams to quickly triage incidents by reducing the steps required to fully understand the business context of an incident and assign it to the right response team within their desired collaboration platforms.

“Streamlining processes is a critical component of technology operations,” said Rob Scarmuzzi, Executive Director of Operations Technology at E*TRADE Financial. “Automating tasks, like consolidating events, equips us with the tools to manage our workflow efficiently and ultimately freeing up time to deploy manpower to areas that require attention. BigPanda’s Automatic Incident Triage enhancements put additional firepower behind these automated capabilities.”

Enterprises with complex hybrid IT infrastructures and organization structures face a growing number of challenges, including centralized and decentralized Ops teams, and hybrid environments with on-prem and cloud-based applications and tool sprawl, making it difficult to rapidly understand, investigate, remediate and resolve incidents.

According to Gartner, “organizations are struggling to reduce incident response times because of delays around manual incident routing and cross-team collaboration challenges with incident response.” Gartner goes on to state, “Depending on the organization, gathering the context of the incident often takes 15 to 30 minutes, which significantly impacts mean time to resolve (MTTR).”*

An inability to quickly gather business context in the incident triage phase delays incident response times, which negatively impacts service availability and reliability, creates user satisfaction issues, and drives up operational costs. BigPanda’s Automatic Incident Triage helps IT Ops and NOC teams solve this pain point, improve NOC productivity and reclaim high-value L3 and DevOps FTE hours.

“Time is one of the biggest enemies of IT Ops and NOC teams. Incident responders know all too well how long it takes to answer the ‘What next?’ question once they’re presented with an incident,” said Elik Eizenberg, Co-Founder and CTO at BigPanda. “Automatic Incident Triage turns what used to be a technical incident into a business incident automatically, helping incident responders rapidly triage and handle more incidents than before and quickly route critical incidents to the right teams for follow-up and resolution.”

With Automatic Incident Triage, BigPanda customers can:

- Automatically calculate and incorporate detailed business context into incidents, such as validated incident severity, impacted services, business priority and routing information using easy-to-create custom incident tags.

- Quickly and easily sort, filter, visualize and respond to the incidents, prioritizing those with either the most pressing validated incident severity or the number of impacted services.

- Bi-directionally sync custom incident tags with collaboration tools such as ServiceNow or Jira to deliver easier mapping of fields and trigger workflows within those tools.

Automatic Incident Triage allows Ops teams to handle higher volumes of actionable incidents themselves, without having to escalate as frequently. And when they do escalate, the additional business context makes it easy to prioritize and route incidents to the right teams for faster resolution.

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BigPanda Launches Automatic Incident Triage

New Capability Gives IT Ops Teams Business Context to Inform Incident Triage, Increase Availability of Applications and Services and Dramatically Reduce Incident Resolution Cycles

BigPanda announced the availability of Automatic Incident Triage, a new platform component that significantly reduces the manual toil associated with the triage phase of incident management.

Automatic Incident Triage reduces the “mean-time-to-resolve” (MTTR) for applications and services by enabling IT Ops and NOC teams to quickly triage incidents by reducing the steps required to fully understand the business context of an incident and assign it to the right response team within their desired collaboration platforms.

“Streamlining processes is a critical component of technology operations,” said Rob Scarmuzzi, Executive Director of Operations Technology at E*TRADE Financial. “Automating tasks, like consolidating events, equips us with the tools to manage our workflow efficiently and ultimately freeing up time to deploy manpower to areas that require attention. BigPanda’s Automatic Incident Triage enhancements put additional firepower behind these automated capabilities.”

Enterprises with complex hybrid IT infrastructures and organization structures face a growing number of challenges, including centralized and decentralized Ops teams, and hybrid environments with on-prem and cloud-based applications and tool sprawl, making it difficult to rapidly understand, investigate, remediate and resolve incidents.

According to Gartner, “organizations are struggling to reduce incident response times because of delays around manual incident routing and cross-team collaboration challenges with incident response.” Gartner goes on to state, “Depending on the organization, gathering the context of the incident often takes 15 to 30 minutes, which significantly impacts mean time to resolve (MTTR).”*

An inability to quickly gather business context in the incident triage phase delays incident response times, which negatively impacts service availability and reliability, creates user satisfaction issues, and drives up operational costs. BigPanda’s Automatic Incident Triage helps IT Ops and NOC teams solve this pain point, improve NOC productivity and reclaim high-value L3 and DevOps FTE hours.

“Time is one of the biggest enemies of IT Ops and NOC teams. Incident responders know all too well how long it takes to answer the ‘What next?’ question once they’re presented with an incident,” said Elik Eizenberg, Co-Founder and CTO at BigPanda. “Automatic Incident Triage turns what used to be a technical incident into a business incident automatically, helping incident responders rapidly triage and handle more incidents than before and quickly route critical incidents to the right teams for follow-up and resolution.”

With Automatic Incident Triage, BigPanda customers can:

- Automatically calculate and incorporate detailed business context into incidents, such as validated incident severity, impacted services, business priority and routing information using easy-to-create custom incident tags.

- Quickly and easily sort, filter, visualize and respond to the incidents, prioritizing those with either the most pressing validated incident severity or the number of impacted services.

- Bi-directionally sync custom incident tags with collaboration tools such as ServiceNow or Jira to deliver easier mapping of fields and trigger workflows within those tools.

Automatic Incident Triage allows Ops teams to handle higher volumes of actionable incidents themselves, without having to escalate as frequently. And when they do escalate, the additional business context makes it easy to prioritize and route incidents to the right teams for faster resolution.

The Latest

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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