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PagerDuty Debuts Modern Incident Resolution Lifecycle Capabilities

PagerDuty announced a significant new set of capabilities designed around the major incident resolution lifecycle, to help organizations evolve the digital operations of their business.

Encompassing the full lifecycle from event management through incident response and learning, the new product workflows enable developers, IT and business teams to boost their operational maturity, resulting in improved productivity, faster time to resolution, more time for innovation and higher quality experiences for their customers. PagerDuty’s modern incident resolution lifecycle now includes: PagerDuty Postmortems, Incident Priority and Custom Incident Actions, among other new capabilities.

“The way organizations detect, respond to, resolve, learn from and prevent operational issues is paramount to customer and business success in today’s instant gratification world. Organizations must embrace an integrated approach to automated detection, event management and incident resolution to increase not only customer value and trust, but also employee engagement, visibility, learning and productivity,” said Jennifer Tejada, CEO, PagerDuty. “With PagerDuty’s new Incident Resolution Management solutions that automate much of the modern incident resolution lifecycle, IT leaders and DevOps teams are empowered to proactively address and prevent unexpected, customer-impacting issues faster across applications, services and networks with new and traditional architectures and data models. These solutions are central to achieving the innovation velocity essential to being competitive in the digital world.”

PagerDuty’s new major incident resolution lifecycle spans event management features, incident prioritization, postmortem tools, and more, empowering organizations to:

- Drive faster resolution with the right context and powerful automation. Teams can now simplify and automate the incident resolution lifecycle by seamlessly integrating event management at scale and incident response workflows, removing the burdens of administrative mechanics. With the new Incident Priority feature it is easy to classify major incidents which require a more highly specialized and coordinated response process. And when any type of issue occurs, Custom Incident Actions provide rich in-app extensibility to streamline resolution by automating desired tasks or remediations directly within the incident.

- Accelerate learning to be prepared for the next problem. Best-in-class incident management process calls for a postmortem for every major incident. With PagerDuty Postmortems, IT teams can now gain a better understanding of how to prevent future incidents by streamlining and automating the postmortem process, institutionalizing a learning culture to improve both systems and every stage of the incident resolution.

- Maximize individual effectiveness while ensuring consistency with existing processes. With first-class extensibility to other tools used by the enterprise, PagerDuty drives automatable processes built on DevOps best practices that allow IT teams to focus on higher value parts of incident response. Among other capabilities, the new Atlassian JIRA Software extension and updated ServiceNow integration help customers centralize information without limiting how people work, breaking down silos between processes and data.

PagerDuty’s new incident resolution lifecycle capabilities are now generally available.

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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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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 ...

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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 ...

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PagerDuty Debuts Modern Incident Resolution Lifecycle Capabilities

PagerDuty announced a significant new set of capabilities designed around the major incident resolution lifecycle, to help organizations evolve the digital operations of their business.

Encompassing the full lifecycle from event management through incident response and learning, the new product workflows enable developers, IT and business teams to boost their operational maturity, resulting in improved productivity, faster time to resolution, more time for innovation and higher quality experiences for their customers. PagerDuty’s modern incident resolution lifecycle now includes: PagerDuty Postmortems, Incident Priority and Custom Incident Actions, among other new capabilities.

“The way organizations detect, respond to, resolve, learn from and prevent operational issues is paramount to customer and business success in today’s instant gratification world. Organizations must embrace an integrated approach to automated detection, event management and incident resolution to increase not only customer value and trust, but also employee engagement, visibility, learning and productivity,” said Jennifer Tejada, CEO, PagerDuty. “With PagerDuty’s new Incident Resolution Management solutions that automate much of the modern incident resolution lifecycle, IT leaders and DevOps teams are empowered to proactively address and prevent unexpected, customer-impacting issues faster across applications, services and networks with new and traditional architectures and data models. These solutions are central to achieving the innovation velocity essential to being competitive in the digital world.”

PagerDuty’s new major incident resolution lifecycle spans event management features, incident prioritization, postmortem tools, and more, empowering organizations to:

- Drive faster resolution with the right context and powerful automation. Teams can now simplify and automate the incident resolution lifecycle by seamlessly integrating event management at scale and incident response workflows, removing the burdens of administrative mechanics. With the new Incident Priority feature it is easy to classify major incidents which require a more highly specialized and coordinated response process. And when any type of issue occurs, Custom Incident Actions provide rich in-app extensibility to streamline resolution by automating desired tasks or remediations directly within the incident.

- Accelerate learning to be prepared for the next problem. Best-in-class incident management process calls for a postmortem for every major incident. With PagerDuty Postmortems, IT teams can now gain a better understanding of how to prevent future incidents by streamlining and automating the postmortem process, institutionalizing a learning culture to improve both systems and every stage of the incident resolution.

- Maximize individual effectiveness while ensuring consistency with existing processes. With first-class extensibility to other tools used by the enterprise, PagerDuty drives automatable processes built on DevOps best practices that allow IT teams to focus on higher value parts of incident response. Among other capabilities, the new Atlassian JIRA Software extension and updated ServiceNow integration help customers centralize information without limiting how people work, breaking down silos between processes and data.

PagerDuty’s new incident resolution lifecycle capabilities are now generally available.

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.