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PagerDuty Renews Strategic Collaboration Agreement with AWS

PagerDuty renewed its global strategic collaboration agreement (SCA) with Amazon Web Services (AWS), to leverage advanced generative AI services from AWS within the PagerDuty Operations Cloud to enhance the detection and remediation of operational IT issues. 

The agreement extends the decade-plus collaboration between PagerDuty and AWS.

The PagerDuty Operations Cloud is an AI-first platform that automates and orchestrates the entire incident management lifecycle. PagerDuty empowers teams to detect and diagnose disruptive events, mobilize the right team members to respond and streamline infrastructure and workflows across digital operations. The continuing collaboration between PagerDuty and AWS empowers joint customers to leverage the capabilities of the PagerDuty Operations Cloud, helping them to become operationally resilient and future-proof their business through the power of AI and automation.

Key highlights of the PagerDuty and AWS decade-plus relationship:

  • The collaboration between PagerDuty and AWS began in 2013 and currently serves 6,000 joint customers
  • Eight different Amazon properties leverage PagerDuty for Incident Management
  • Incident Manager, a capability of AWS Systems Manager, integrated with PagerDuty in 2022
  • PagerDuty Advance’s capabilities were integrated with Amazon Q Business, Amazon Bedrock and Amazon Bedrock Guardrails in 2024 to empower organizations to safely deploy genAI into their incident management processes

The collaboration between PagerDuty and AWS means that customers can easily procure and deploy PagerDuty’s SaaS solutions to manage incidents with agility and reliability. As part of the renewed SCA, the two companies will bring together AWS advanced generative AI services and security features with the PagerDuty Operations Cloud to help customers drive operational efficiency and resilience across key vertical industries, including financial services, manufacturing and travel and hospitality.

The renewal of the SCA highlights how PagerDuty and AWS are working together to deliver enhanced value and flexibility to customers across industries. Recently PagerDuty announced an integration of the Amazon Q index, a feature of Amazon Q Business, that helps PagerDuty users triage and resolve issues faster across more data sources. 

PagerDuty CEO and Chairperson, Jennifer Tejada, said, “The PagerDuty Advance unified user experience, built on Amazon Bedrock and Claude and integrated into Q, means less time lost to incidents and more time for building.” 

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PagerDuty Renews Strategic Collaboration Agreement with AWS

PagerDuty renewed its global strategic collaboration agreement (SCA) with Amazon Web Services (AWS), to leverage advanced generative AI services from AWS within the PagerDuty Operations Cloud to enhance the detection and remediation of operational IT issues. 

The agreement extends the decade-plus collaboration between PagerDuty and AWS.

The PagerDuty Operations Cloud is an AI-first platform that automates and orchestrates the entire incident management lifecycle. PagerDuty empowers teams to detect and diagnose disruptive events, mobilize the right team members to respond and streamline infrastructure and workflows across digital operations. The continuing collaboration between PagerDuty and AWS empowers joint customers to leverage the capabilities of the PagerDuty Operations Cloud, helping them to become operationally resilient and future-proof their business through the power of AI and automation.

Key highlights of the PagerDuty and AWS decade-plus relationship:

  • The collaboration between PagerDuty and AWS began in 2013 and currently serves 6,000 joint customers
  • Eight different Amazon properties leverage PagerDuty for Incident Management
  • Incident Manager, a capability of AWS Systems Manager, integrated with PagerDuty in 2022
  • PagerDuty Advance’s capabilities were integrated with Amazon Q Business, Amazon Bedrock and Amazon Bedrock Guardrails in 2024 to empower organizations to safely deploy genAI into their incident management processes

The collaboration between PagerDuty and AWS means that customers can easily procure and deploy PagerDuty’s SaaS solutions to manage incidents with agility and reliability. As part of the renewed SCA, the two companies will bring together AWS advanced generative AI services and security features with the PagerDuty Operations Cloud to help customers drive operational efficiency and resilience across key vertical industries, including financial services, manufacturing and travel and hospitality.

The renewal of the SCA highlights how PagerDuty and AWS are working together to deliver enhanced value and flexibility to customers across industries. Recently PagerDuty announced an integration of the Amazon Q index, a feature of Amazon Q Business, that helps PagerDuty users triage and resolve issues faster across more data sources. 

PagerDuty CEO and Chairperson, Jennifer Tejada, said, “The PagerDuty Advance unified user experience, built on Amazon Bedrock and Claude and integrated into Q, means less time lost to incidents and more time for building.” 

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Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...