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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

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...