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PagerDuty Announces Intelligent Triage and Intelligent Dashboards

PagerDuty announced two new capabilities - Intelligent Triage and Intelligent Dashboards - for teams responsible for reducing the cost and business impact of issues such as slow downs and outages.

Today, it takes companies an average of 80 minutes to coordinate response teams to solve a customer-impacting issue, such as a failed shopping cart or broken web page. PagerDuty’s new solutions are expected to help reduce that to as little as five minutes by providing automation to get the right people working together, with the right information, to more quickly triage issues when seconds count. By adopting real-time digital operations management practices, large companies can gain upwards of $2.5 million in IT staff productivity savings.

Intelligent Triage is a new feature set within PagerDuty’s Event Intelligence product, which uses machine learning to group alerts together so teams don’t receive multiple alerts coming from related issues. Triage provides additional context into the issue; e.g., whether it has happened before, how it was resolved, how widespread it is, what teams and services are affected, who is working on it and how they can be reached. By immediately arming teams with this knowledge, PagerDuty helps organizations pull together the right people, with the right information, to solve problems faster, minimizing the cost of downtime and preventing poor customer experiences.

Intelligent Dashboards — new to PagerDuty’s Analytics product — leverages machine learning to provide teams with recommendations for how to resolve issues, as well as benchmarks against performance metrics from other teams in their organization or vertical industry so they can continually improve. Its Spotlights recommendation engine leverages 10 years of machine and human response data to give teams context for improvements, such as stopping unactionable alerts and recognizing repeat issues.

“Nearly half of companies experience a major technology issue at least monthly,” said PagerDuty’s SVP Product, Jonathan Rende. “In today’s always-on world, slow responses damage a company’s brand, impact employees and erode the bottom line. Companies urgently need insights into how they are handling these issues so they know how to improve. With Spotlights, we are automating the provision of knowledge that is crucial to both solving problems in the moment and continually improving performance.”

Intelligent Triage:

- Provides context into an issue e.g., whether it has happened before, how it was resolved, how widespread it is, what services and teams are affected, who is working on it and how they can be reached.

- Provides automation to ensure teams have the knowledge required to effectively triage issues in real-time (e.g. is this a major incident? Who is needed to help?).

- Reduces the impact of unplanned work by giving adjacent teams visibility so they don’t duplicate efforts or interfere with each other.

- Creates significant time and cost savings — the majority of tech employees will lose 100-plus hours of productivity due to unplanned work this year4.

- Now available for Event Intelligence customers.

Intelligent Dashboards:

- Leverages 10 years of machine data and human response patterns, applied through Spotlight, PagerDuty’s recommendation engine that learns from past issues to make suggestions that teams can use for future improvements, such as stopping unactionable alerts, fixing repeat issues and improving escalation practices.

- Includes interactive charts and graphs that, unlike static status reports, let customers drill into details by team to show incident volume, response effort, interruption volume and more.

- Provides managers with built-in benchmarks to see how their teams compare to peers in the organization and their vertical industry when it comes to spotting issues, mobilizing teams and achieving resolutions.

- Translates the impact of issues into business outcomes, such as total cost of incidents or response team fatigue where other solutions only have basic metrics, such as mean time to response (MTTR).

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PagerDuty Announces Intelligent Triage and Intelligent Dashboards

PagerDuty announced two new capabilities - Intelligent Triage and Intelligent Dashboards - for teams responsible for reducing the cost and business impact of issues such as slow downs and outages.

Today, it takes companies an average of 80 minutes to coordinate response teams to solve a customer-impacting issue, such as a failed shopping cart or broken web page. PagerDuty’s new solutions are expected to help reduce that to as little as five minutes by providing automation to get the right people working together, with the right information, to more quickly triage issues when seconds count. By adopting real-time digital operations management practices, large companies can gain upwards of $2.5 million in IT staff productivity savings.

Intelligent Triage is a new feature set within PagerDuty’s Event Intelligence product, which uses machine learning to group alerts together so teams don’t receive multiple alerts coming from related issues. Triage provides additional context into the issue; e.g., whether it has happened before, how it was resolved, how widespread it is, what teams and services are affected, who is working on it and how they can be reached. By immediately arming teams with this knowledge, PagerDuty helps organizations pull together the right people, with the right information, to solve problems faster, minimizing the cost of downtime and preventing poor customer experiences.

Intelligent Dashboards — new to PagerDuty’s Analytics product — leverages machine learning to provide teams with recommendations for how to resolve issues, as well as benchmarks against performance metrics from other teams in their organization or vertical industry so they can continually improve. Its Spotlights recommendation engine leverages 10 years of machine and human response data to give teams context for improvements, such as stopping unactionable alerts and recognizing repeat issues.

“Nearly half of companies experience a major technology issue at least monthly,” said PagerDuty’s SVP Product, Jonathan Rende. “In today’s always-on world, slow responses damage a company’s brand, impact employees and erode the bottom line. Companies urgently need insights into how they are handling these issues so they know how to improve. With Spotlights, we are automating the provision of knowledge that is crucial to both solving problems in the moment and continually improving performance.”

Intelligent Triage:

- Provides context into an issue e.g., whether it has happened before, how it was resolved, how widespread it is, what services and teams are affected, who is working on it and how they can be reached.

- Provides automation to ensure teams have the knowledge required to effectively triage issues in real-time (e.g. is this a major incident? Who is needed to help?).

- Reduces the impact of unplanned work by giving adjacent teams visibility so they don’t duplicate efforts or interfere with each other.

- Creates significant time and cost savings — the majority of tech employees will lose 100-plus hours of productivity due to unplanned work this year4.

- Now available for Event Intelligence customers.

Intelligent Dashboards:

- Leverages 10 years of machine data and human response patterns, applied through Spotlight, PagerDuty’s recommendation engine that learns from past issues to make suggestions that teams can use for future improvements, such as stopping unactionable alerts, fixing repeat issues and improving escalation practices.

- Includes interactive charts and graphs that, unlike static status reports, let customers drill into details by team to show incident volume, response effort, interruption volume and more.

- Provides managers with built-in benchmarks to see how their teams compare to peers in the organization and their vertical industry when it comes to spotting issues, mobilizing teams and achieving resolutions.

- Translates the impact of issues into business outcomes, such as total cost of incidents or response team fatigue where other solutions only have basic metrics, such as mean time to response (MTTR).

The Latest

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 ...

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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 ...

Image
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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...