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PagerDuty Adds Automated Incident Response

PagerDuty announced new capabilities to further support the digital-first orientation of businesses as they seek to meet heightened expectations for customer experiences.

The new solutions inject control and logic at the event layer instantly to drive real-time behaviors and workflows.

Uniquely integrating this new event management into operations automation reduces manual processes and toil, automates work, and drives best practices across distributed teams.

Along with these new features, PagerDuty also announced the general availability of Change Events in Mobile, Rundeck Actions, Round Robin Scheduling, and Probable Incident Origin, bringing a strong suite of capabilities all aimed at enhancing automated incident response to drive customer engagement and efficient operations across the modern enterprise.

“Successful business operations in today’s world are fully digitized. Mission-critical work is urgent, unplanned, and involves distributed teams that need to assemble and collaborate effectively when minutes of delay can mean millions in lost revenue,” said Sean Scott, PagerDuty’s CPO. “PagerDuty’s Operations Cloud connects teams, departments, and dependencies, empowering companies to master key services and manage time-critical work that impacts customer experience.”

Digital services are in a constant state of change with a complex web of dependencies, which is further complicated as 72% of tech leaders report their organizations are actively accelerating their digital transformation strategies. Connecting and correlating data and signals for real-time information means ingesting signals from numerous sources, both structured and unstructured, and quickly turning the data into insights that guides actions.

New PagerDuty capabilities include:

- New Event Orchestration: Reduce manual processes and toil to gain operational efficiency

Event Intelligence is well-known for its noise reduction capabilities with features like intelligent alert grouping. PagerDuty now delivers the ability for teams to minimize transient noise with machine learning. Event Orchestration cuts down on businesses’ manual event processing with a powerful decision engine. Teams can now create custom logic to enrich, modify, and control routing based on event conditions at scale. Event Orchestration combines nested event rules for precise, targeted automation including diagnostics and remediation to reduce toil and gain operational efficiency.

“Customers are increasingly looking for event orchestration capabilities that balance human-led and machine-led work in real time,” said Stephen Elliot, group vice president, I&O, cloud operations and DevOps. “As CIOs and CEOs are continuing to find ways to increase operational efficiency, now is the time for people to get ahead of unplanned downtime events and find ways to automate their incident response processes.”

- New Rundeck Cloud: Rundeck is now available as a fully managed cloud service

With Rundeck, users focus on building and running automated workflows. Rundeck Cloud manages the infrastructure for users by providing high availability, security, and elastic scalability. It also manages all patches and updates, so users always have the latest features available. In the near future, Rundeck Actions will pair with Rundeck Cloud to quickly create sophisticated automated diagnostics and remediation for your production systems.

- New Service Standards: Enables account owners to configure and enforce best practice standards at scale for all their managed services.

Clearly defined and well-configured services are central to achieving team autonomy and efficient incident response. Many organizations are pivoting towards a Service Ownership model where developers and site reliability engineers take responsibility for supporting the code they deliver at every stage of the service lifecycle: they build it, ship it, and own it in production. PagerDuty’s Service Standards empower organizations to easily define, share, and track the criteria for service configuration according to their unique needs. Individual teams receive clear guidelines for setting up and managing services within PagerDuty.

- New Change Events & Change Correlation for Mobile: Help responders solve incidents faster

Deliver machine-learning-powered change directly to on-call responders, now on mobile devices. With the latest context available at a glance and on mobile devices, responders can identify potential change correlation, triage incidents quickly, and reduce time-to-resolution while on the go.

Solutions Now Generally Available:

- Rundeck Actions + Automated Diagnostics Package: Empowers responders to immediately remove critical minutes from incident response

- PagerDuty Rundeck Actions help users take action to run automated diagnostics and remediate incidents directly within PagerDuty. Improve productivity by automating repeated diagnostic and remediation steps, replacing toil of manual tasks.

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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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.

PagerDuty Adds Automated Incident Response

PagerDuty announced new capabilities to further support the digital-first orientation of businesses as they seek to meet heightened expectations for customer experiences.

The new solutions inject control and logic at the event layer instantly to drive real-time behaviors and workflows.

Uniquely integrating this new event management into operations automation reduces manual processes and toil, automates work, and drives best practices across distributed teams.

Along with these new features, PagerDuty also announced the general availability of Change Events in Mobile, Rundeck Actions, Round Robin Scheduling, and Probable Incident Origin, bringing a strong suite of capabilities all aimed at enhancing automated incident response to drive customer engagement and efficient operations across the modern enterprise.

“Successful business operations in today’s world are fully digitized. Mission-critical work is urgent, unplanned, and involves distributed teams that need to assemble and collaborate effectively when minutes of delay can mean millions in lost revenue,” said Sean Scott, PagerDuty’s CPO. “PagerDuty’s Operations Cloud connects teams, departments, and dependencies, empowering companies to master key services and manage time-critical work that impacts customer experience.”

Digital services are in a constant state of change with a complex web of dependencies, which is further complicated as 72% of tech leaders report their organizations are actively accelerating their digital transformation strategies. Connecting and correlating data and signals for real-time information means ingesting signals from numerous sources, both structured and unstructured, and quickly turning the data into insights that guides actions.

New PagerDuty capabilities include:

- New Event Orchestration: Reduce manual processes and toil to gain operational efficiency

Event Intelligence is well-known for its noise reduction capabilities with features like intelligent alert grouping. PagerDuty now delivers the ability for teams to minimize transient noise with machine learning. Event Orchestration cuts down on businesses’ manual event processing with a powerful decision engine. Teams can now create custom logic to enrich, modify, and control routing based on event conditions at scale. Event Orchestration combines nested event rules for precise, targeted automation including diagnostics and remediation to reduce toil and gain operational efficiency.

“Customers are increasingly looking for event orchestration capabilities that balance human-led and machine-led work in real time,” said Stephen Elliot, group vice president, I&O, cloud operations and DevOps. “As CIOs and CEOs are continuing to find ways to increase operational efficiency, now is the time for people to get ahead of unplanned downtime events and find ways to automate their incident response processes.”

- New Rundeck Cloud: Rundeck is now available as a fully managed cloud service

With Rundeck, users focus on building and running automated workflows. Rundeck Cloud manages the infrastructure for users by providing high availability, security, and elastic scalability. It also manages all patches and updates, so users always have the latest features available. In the near future, Rundeck Actions will pair with Rundeck Cloud to quickly create sophisticated automated diagnostics and remediation for your production systems.

- New Service Standards: Enables account owners to configure and enforce best practice standards at scale for all their managed services.

Clearly defined and well-configured services are central to achieving team autonomy and efficient incident response. Many organizations are pivoting towards a Service Ownership model where developers and site reliability engineers take responsibility for supporting the code they deliver at every stage of the service lifecycle: they build it, ship it, and own it in production. PagerDuty’s Service Standards empower organizations to easily define, share, and track the criteria for service configuration according to their unique needs. Individual teams receive clear guidelines for setting up and managing services within PagerDuty.

- New Change Events & Change Correlation for Mobile: Help responders solve incidents faster

Deliver machine-learning-powered change directly to on-call responders, now on mobile devices. With the latest context available at a glance and on mobile devices, responders can identify potential change correlation, triage incidents quickly, and reduce time-to-resolution while on the go.

Solutions Now Generally Available:

- Rundeck Actions + Automated Diagnostics Package: Empowers responders to immediately remove critical minutes from incident response

- PagerDuty Rundeck Actions help users take action to run automated diagnostics and remediate incidents directly within PagerDuty. Improve productivity by automating repeated diagnostic and remediation steps, replacing toil of manual tasks.

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.