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PagerDuty Introduces Operations Command Console and Intelligence Applications

PagerDuty announced new products in digital operations management, extending its platform beyond alerting, notification, on-call automation and triage to event intelligence, and end-to-end response orchestration.

PagerDuty’s new Operations Command Console and Intelligence Applications unify and provide actionable insights on all relevant dimensions of customer experience including application performance, infrastructure health, and incident response. Intelligent insights enable teams to collaborate efficiently, resolve disruptions quickly and focus on continuous development and delivery of services.

“Digital channels are the lifeblood of businesses and can fundamentally transform a company’s value proposition and accelerate revenue growth. Delivering predictable experience across the digital channels is the opportunity for businesses to elevate their brand by conquering a complex infrastructure environment that is fast moving, filled with various stakeholders and mixed with modern and traditional technology,” said Jennifer Tejada, CEO, PagerDuty. “By having full-stack visibility across complex environments, companies can significantly reduce the cognitive load, the time it takes to align teams and identify and resolve customer-impacting issues. PagerDuty is doubling down on delivering one view of digital operations so companies can coordinate the best technical and business response. With new investments in pattern detection, PagerDuty is empowering practitioners and businesses to focus more on learning and innovating to deliver amazing customer experiences.”

“As businesses adopt increasingly complex architectures, their systems produce an unmanageable volume of events and data, impacting visibility across an entire business service,” said Nancy Gohring, Senior Analyst, 451 Research. “With these services becoming more critical, organizations require contextual information that allows teams to mobilize quickly. PagerDuty offers such a solution by providing both the insight and the workflows people require to react quickly to service disruptions. These kinds of solutions will only become more essential given the complexity of today’s service architectures.”

Operations Command Console and Intelligence Applications – The new Operations Command Console provides a unified view of application, service and infrastructure health, and the orchestration of incident response workflows. Smart service alerting and interactive intelligence applications enable developers, operations, IT and business stakeholders to gain actionable full-stack visibility required to mobilize, coordinate and orchestrate both technical and business responses to incidents.

The Operations Command Console can be customized with the following applications:

- Infrastructure Health Application – Operations teams can understand the state of infrastructure health through actionable, time-series visualizations of correlated events and the common context of service disruptions. This reduces the mean time to resolution and proactively manages issues before they impact the business. Continuous visibility into the infrastructure enables teams to develop, test and deploy more code with confidence.

- Service Health Application – Insights from the Service Health Application reduce cognitive load and allow managers and responders to quickly understand the overall health of their digital business. Operations teams can quickly identify services that require immediate triage, those with incident response in progress, and services in a healthy state that have no open incidents.

- Major Incident Application – View major incidents as they occur in real-time and determine the relationship with impacted services and infrastructure for faster root cause analysis and resolution. Response teams can group related alerts and alert context into a single incident for simplified management and apply suppression rules to receive significantly fewer notifications.

- Responders Application – Mobilize the right resources and collaborate with any subject matter expert from the organization to resolve an open incident faster. With the native relationship with Major Incidents Application, a business stakeholder can identify responders working a high urgency incident for continuous updates and communication flow.

The PagerDuty Operations Command Console and supporting Intelligence Applications are generally available for purchase.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

PagerDuty Introduces Operations Command Console and Intelligence Applications

PagerDuty announced new products in digital operations management, extending its platform beyond alerting, notification, on-call automation and triage to event intelligence, and end-to-end response orchestration.

PagerDuty’s new Operations Command Console and Intelligence Applications unify and provide actionable insights on all relevant dimensions of customer experience including application performance, infrastructure health, and incident response. Intelligent insights enable teams to collaborate efficiently, resolve disruptions quickly and focus on continuous development and delivery of services.

“Digital channels are the lifeblood of businesses and can fundamentally transform a company’s value proposition and accelerate revenue growth. Delivering predictable experience across the digital channels is the opportunity for businesses to elevate their brand by conquering a complex infrastructure environment that is fast moving, filled with various stakeholders and mixed with modern and traditional technology,” said Jennifer Tejada, CEO, PagerDuty. “By having full-stack visibility across complex environments, companies can significantly reduce the cognitive load, the time it takes to align teams and identify and resolve customer-impacting issues. PagerDuty is doubling down on delivering one view of digital operations so companies can coordinate the best technical and business response. With new investments in pattern detection, PagerDuty is empowering practitioners and businesses to focus more on learning and innovating to deliver amazing customer experiences.”

“As businesses adopt increasingly complex architectures, their systems produce an unmanageable volume of events and data, impacting visibility across an entire business service,” said Nancy Gohring, Senior Analyst, 451 Research. “With these services becoming more critical, organizations require contextual information that allows teams to mobilize quickly. PagerDuty offers such a solution by providing both the insight and the workflows people require to react quickly to service disruptions. These kinds of solutions will only become more essential given the complexity of today’s service architectures.”

Operations Command Console and Intelligence Applications – The new Operations Command Console provides a unified view of application, service and infrastructure health, and the orchestration of incident response workflows. Smart service alerting and interactive intelligence applications enable developers, operations, IT and business stakeholders to gain actionable full-stack visibility required to mobilize, coordinate and orchestrate both technical and business responses to incidents.

The Operations Command Console can be customized with the following applications:

- Infrastructure Health Application – Operations teams can understand the state of infrastructure health through actionable, time-series visualizations of correlated events and the common context of service disruptions. This reduces the mean time to resolution and proactively manages issues before they impact the business. Continuous visibility into the infrastructure enables teams to develop, test and deploy more code with confidence.

- Service Health Application – Insights from the Service Health Application reduce cognitive load and allow managers and responders to quickly understand the overall health of their digital business. Operations teams can quickly identify services that require immediate triage, those with incident response in progress, and services in a healthy state that have no open incidents.

- Major Incident Application – View major incidents as they occur in real-time and determine the relationship with impacted services and infrastructure for faster root cause analysis and resolution. Response teams can group related alerts and alert context into a single incident for simplified management and apply suppression rules to receive significantly fewer notifications.

- Responders Application – Mobilize the right resources and collaborate with any subject matter expert from the organization to resolve an open incident faster. With the native relationship with Major Incidents Application, a business stakeholder can identify responders working a high urgency incident for continuous updates and communication flow.

The PagerDuty Operations Command Console and supporting Intelligence Applications are generally available for purchase.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.