Skip to main content

PagerDuty Integrates with Amazon DevOps Guru

PagerDuty announced a product collaboration with Amazon DevOps Guru, an operational insight service powered by machine learning (ML) from Amazon Web Services (AWS).

Through this new integration, PagerDuty will automatically ingest observability data from Amazon DevOps Guru. PagerDuty consolidates these digital health signals and alerts, and uses AIOps to contextualize and filter out the noise so teams can remediate issues in real-time, and customers can ensure critical business services get delivered.

Amazon DevOps Guru is a powerful yet simple to use native observability service. Tightly paired via the new integration with Amazon DevOps Guru, PagerDuty provides actionable insights and resolution, contextualized through ML algorithms, to the correct stakeholders.

The PagerDuty platform for real-time operations was built to ingest digital signals from across the entire enterprise ecosystem, and then arm the right responders with the right insights and tools to resolve issues in real-time. PagerDuty allows operations teams to improve the optics into their AWS environment and AWS-based applications. Leveraging Amazon DevOps Guru’s ML-enabled application health information, PagerDuty provides even more real-time signal-to-resolution capabilities to our shared customers. Through PagerDuty’s ingestion of Amazon Simple Notification Service (Amazon SNS) notifications on Amazon DevOps Guru, customers can seamlessly identify and action operational issues more quickly, before they become customer-impacting outages.

“This integration is a sign of where the industry is headed as the demand for deep observability grows,” said Jonathan Rende, SVP of Product at PagerDuty. “For cloud native companies, PagerDuty’s combination with Amazon DevOps Guru means powerful, simple, no-configuration visibility and machine learning that ensures application uptime and instant incident response. For non-cloud native companies, it enables PagerDuty to further unify digital operations across complex, hybrid, and non-cloud-based applications as they migrate onto the cloud, with less complexity, less technology, and much faster ROI.”

Users can benefit from better automation and a more complete picture of their environment. Health signals from Amazon DevOps Guru coupled with those from other observability tools, help PagerDuty’s AIOps noise reduction algorithms and automation capabilities to be more effective. The integration can also ensure cloud migration success by empowering teams to take real-time action on incidents that take place across your hybrid infrastructure. And, for teams who are “all in” on AWS, Amazon DevOps Guru’s out of the box app monitoring feeds can be ingested and made actionable by PagerDuty with almost no configuration needed. As a result, real-time incident response functionality is automatically added to customers’ app development lifecycle.

PagerDuty is also adding support for two other AWS services, focused on supporting cloud migration and removing noise from hybrid infrastructures. These build on the monitoring, security, and management and automation integrations already available through the platform.

The new integrations for AWS include:

- PagerDuty for AWS Control Tower: Gives organizations the power of service ownership by applying guardrails that will either auto-remediate compliance issues or escalate to the right person to handle it.

- PagerDuty for AWS Outposts: Extends the AWS infrastructure to virtually any datacenter, allowing organizations to manage incidents in real-time for AWS infrastructure used in a private datacenter, co-location space, or on-premises facility.

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 ...

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 ...

Image
Broadcom

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 ...

PagerDuty Integrates with Amazon DevOps Guru

PagerDuty announced a product collaboration with Amazon DevOps Guru, an operational insight service powered by machine learning (ML) from Amazon Web Services (AWS).

Through this new integration, PagerDuty will automatically ingest observability data from Amazon DevOps Guru. PagerDuty consolidates these digital health signals and alerts, and uses AIOps to contextualize and filter out the noise so teams can remediate issues in real-time, and customers can ensure critical business services get delivered.

Amazon DevOps Guru is a powerful yet simple to use native observability service. Tightly paired via the new integration with Amazon DevOps Guru, PagerDuty provides actionable insights and resolution, contextualized through ML algorithms, to the correct stakeholders.

The PagerDuty platform for real-time operations was built to ingest digital signals from across the entire enterprise ecosystem, and then arm the right responders with the right insights and tools to resolve issues in real-time. PagerDuty allows operations teams to improve the optics into their AWS environment and AWS-based applications. Leveraging Amazon DevOps Guru’s ML-enabled application health information, PagerDuty provides even more real-time signal-to-resolution capabilities to our shared customers. Through PagerDuty’s ingestion of Amazon Simple Notification Service (Amazon SNS) notifications on Amazon DevOps Guru, customers can seamlessly identify and action operational issues more quickly, before they become customer-impacting outages.

“This integration is a sign of where the industry is headed as the demand for deep observability grows,” said Jonathan Rende, SVP of Product at PagerDuty. “For cloud native companies, PagerDuty’s combination with Amazon DevOps Guru means powerful, simple, no-configuration visibility and machine learning that ensures application uptime and instant incident response. For non-cloud native companies, it enables PagerDuty to further unify digital operations across complex, hybrid, and non-cloud-based applications as they migrate onto the cloud, with less complexity, less technology, and much faster ROI.”

Users can benefit from better automation and a more complete picture of their environment. Health signals from Amazon DevOps Guru coupled with those from other observability tools, help PagerDuty’s AIOps noise reduction algorithms and automation capabilities to be more effective. The integration can also ensure cloud migration success by empowering teams to take real-time action on incidents that take place across your hybrid infrastructure. And, for teams who are “all in” on AWS, Amazon DevOps Guru’s out of the box app monitoring feeds can be ingested and made actionable by PagerDuty with almost no configuration needed. As a result, real-time incident response functionality is automatically added to customers’ app development lifecycle.

PagerDuty is also adding support for two other AWS services, focused on supporting cloud migration and removing noise from hybrid infrastructures. These build on the monitoring, security, and management and automation integrations already available through the platform.

The new integrations for AWS include:

- PagerDuty for AWS Control Tower: Gives organizations the power of service ownership by applying guardrails that will either auto-remediate compliance issues or escalate to the right person to handle it.

- PagerDuty for AWS Outposts: Extends the AWS infrastructure to virtually any datacenter, allowing organizations to manage incidents in real-time for AWS infrastructure used in a private datacenter, co-location space, or on-premises facility.

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 ...

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 ...

Image
Broadcom

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 ...