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PagerDuty Releases New Machine Learning and Response Automation Capabilities

PagerDuty introduced new capabilities in machine learning and advanced response automation that enable businesses to orchestrate the right business-wide response to any situation.

By eliminating inefficiencies across the entire digital operations lifecycle, and applying best practices to any operational issue. The updated PagerDuty® Digital Operations Management platform helps businesses and teams focus on innovation, enhance brand and protect revenue to deliver exceptional customer experience.

“Today’s dynamic digital business climate has exponentially increased both opportunity for growth and downside risks to mitigate. The latest Digital Operations Management capabilities announced today – machine learning and automation – tackle the real-time, all-the-time demands of consumers and business, translating complex events and signals into actionable insights, and orchestrating teams across businesses in service or revenue and productivity,” said Jennifer Tejada, CEO of PagerDuty. “Leveraging our foundation in DevOps, we now empower our customers with a platform that intelligently responds to events and enables the delivery of seamless digital experiences so IT and business decision makers can confidently execute on their financial, operational, and strategic imperatives.”

With the new release, customers can now take advantage of the following capabilities for intelligent real-time decisions, automated precision response and business-wide orchestration:

- Alert Grouping: Rules-based automation and machine learning automatically group related issues together, providing critical context required to drive down resolution times while reducing responder noise.

- Similar Incidents: Machine data is critical, but to get the entire picture, responders also need human context such as who has dealt with a similar issue and what steps were taken to solve it. Now, responders can see previous related issues and surface information around incident severity, impact, remediation steps and much more.

- Response Automation: The new Response Plays capability allows teams to design and execute an automated response pattern, recruiting responders and stakeholders by a single click. For incidents on critical services, teams can set up an automatic response for split-second action.

- Dynamic Notifications & Event Routing: Dynamically select notification and assignment behavior and automatically route events to different teams based on event payloads.

- Redesigned, Live User Experience: The enhanced live incident details page provides improved information discoverability and ease of use.

PagerDuty's new capabilities address new challenges resulting from today’s digital disruptions. The updated platform offers organizations a path for providing a complete business response by dedicating valuable resources to rapid, frictionless service restoration rather than manual work, implementing business-wide best practices and enabling instant communication across critical teams and stakeholders. This comprehensive approach helps organizations save millions of dollars in downtime incidents and service degradation.

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PagerDuty Releases New Machine Learning and Response Automation Capabilities

PagerDuty introduced new capabilities in machine learning and advanced response automation that enable businesses to orchestrate the right business-wide response to any situation.

By eliminating inefficiencies across the entire digital operations lifecycle, and applying best practices to any operational issue. The updated PagerDuty® Digital Operations Management platform helps businesses and teams focus on innovation, enhance brand and protect revenue to deliver exceptional customer experience.

“Today’s dynamic digital business climate has exponentially increased both opportunity for growth and downside risks to mitigate. The latest Digital Operations Management capabilities announced today – machine learning and automation – tackle the real-time, all-the-time demands of consumers and business, translating complex events and signals into actionable insights, and orchestrating teams across businesses in service or revenue and productivity,” said Jennifer Tejada, CEO of PagerDuty. “Leveraging our foundation in DevOps, we now empower our customers with a platform that intelligently responds to events and enables the delivery of seamless digital experiences so IT and business decision makers can confidently execute on their financial, operational, and strategic imperatives.”

With the new release, customers can now take advantage of the following capabilities for intelligent real-time decisions, automated precision response and business-wide orchestration:

- Alert Grouping: Rules-based automation and machine learning automatically group related issues together, providing critical context required to drive down resolution times while reducing responder noise.

- Similar Incidents: Machine data is critical, but to get the entire picture, responders also need human context such as who has dealt with a similar issue and what steps were taken to solve it. Now, responders can see previous related issues and surface information around incident severity, impact, remediation steps and much more.

- Response Automation: The new Response Plays capability allows teams to design and execute an automated response pattern, recruiting responders and stakeholders by a single click. For incidents on critical services, teams can set up an automatic response for split-second action.

- Dynamic Notifications & Event Routing: Dynamically select notification and assignment behavior and automatically route events to different teams based on event payloads.

- Redesigned, Live User Experience: The enhanced live incident details page provides improved information discoverability and ease of use.

PagerDuty's new capabilities address new challenges resulting from today’s digital disruptions. The updated platform offers organizations a path for providing a complete business response by dedicating valuable resources to rapid, frictionless service restoration rather than manual work, implementing business-wide best practices and enabling instant communication across critical teams and stakeholders. This comprehensive approach helps organizations save millions of dollars in downtime incidents and service degradation.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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