PagerDuty debuts Paige AI agent with renamed PD Reliability Platform and PD Labs. Operations management software company PagerDuty Inc. today introduced Paige, an artificial intelligence agent for site reliability engineering that is built to work as a member of operations and engineering teams. Paige runs on the company's flagship product, which as of today is called the PD Reliability Platform. Alongside both, PagerDuty opened PD Labs to put early features in front of customers while they are still being built. The launch is aimed at a problem PagerDuty says is getting worse as AI coding tools write more production software, much of it shipped with little human review. Applications built on AI models also break in their own ways. Chief Executive John DiLullo pointed to model drift, token runaway and leaked personal data as examples. The only way to stay resilient, he said, is "to fight fire with fire, using AI itself as part of how we keep systems running." Customers set Paige's permissions team by team. A team that keeps a person in the loop gets faster triage with remediation held for approval, and the agent acts on its own only in well-understood, low-risk scenarios the team has explicitly authorized. In March, PagerDuty said its SRE Agent would start joining escalation policies as a "virtual responder." Paige, billed as the company's next-generation SRE agent, can now be put on call that way. A lower-priority incident may never reach a human at all. Paige's recommendations arrive with evidence and a confidence level attached. By the time a responder reads one, many possible causes have been ruled out already. PagerDuty argues the bigger payoff comes later, once a resolved incident has been written into a shared memory that Paige consults whenever something similar fails. In a benchmark report released with the launch, the company says Paige did better than leading AI coding agents at diagnosing simulated information technology incidents. The renamed platform, known until today as PagerDuty Operations Cloud, is where Paige gets its operational context. Incident commanders and team managers also get a new PD Reliability Platform Console, which puts incidents, on-call rotations and AI agents in one view. The console shows which agents are switched on and what each one is doing. Paige's suggested fixes can be acted on from the same screen. Responders can run an incident end to end in Slack or Microsoft Teams. A trigger opens a dedicated channel and a conference bridge without anyone having to set them up. Steve Miller, director of business development at Slack, said having Paige and the platform inside Slack gives responders speed and visibility, which he called critical as "agentic and human teams operate side-by-side in the same channel." Nobody has to write the post-incident review, which is generated as soon as the incident is resolved, and its follow-up actions come with owners and due dates already assigned. Canadian telecommunications company Telus Corp. has wired the platform into its own centralized internal incident tool. Kulvir Gahunia, director of the Site Reliability Office at Telus, said PagerDuty's Scribe Agent now runs through every incident, so responders "don't have to stop and document what is happening." The earlier-stage work runs through PD Labs, which PagerDuty is building in the open with design partners who get early access and a direct line to the engineers writing the code. Three experiments are in preview to start. Topology keeps a live map of an organization's services, assembled from its code, infrastructure and runbooks. No configuration management database is needed, and the map scopes the blast radius of a problem automatically as conditions change. Deep Investigation has Paige test several root-cause hypotheses at once while showing its reasoning on each as new evidence comes in. SRE Workbench gives people and agents one workspace to tackle a problem side by side, and whatever they find is saved to the same memory Paige learns from. IT teams want measurable results from their spending on AI agents, according to Snow Tempest, research manager for IT service management at International Data Corp. Better uptime counts, as does time handed back to responders who would otherwise be "chasing logs and assembling the right people for an incident." More organizations also want to prevent incidents, Tempest said. Paige and the PD Reliability Platform are generally available today, and SRE Workbench is open to try through PD Labs. The platform is sold for a fee tied to operational scale that comes with a starting allotment of ingested events, automation actions and user seats. Customers who outgrow it can buy flexible credits without having to forecast usage ahead of time. Image: pagerduty/gpt image 2.5. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from its Marketplace portal page and links: https://siliconangle.com/aws-marketplace/. About SiliconANGLE Media. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

PagerDuty unveils Paige, an SRE Agent, and the PD Reliability Platform - establishes PD Labs to power open AI innovation in reliability engineering. PagerDuty, Inc. announced Paige, a next generation SRE agent built to work as a member of operations, engineering, and DevOps teams to detect, investigate, and remediate issues across increasingly complex systems. Paige orchestrates incident resolution on the PD Reliability Platform, PagerDuty's flagship product (previously known as PagerDuty Operations Cloud). The PD Reliability Platform unifies signal intelligence, incident management, and automation for blended teams of agents and humans to automate detection, investigation, and remediation combined with the operational context and telemetry needed to act. Additionally, PagerDuty has established PD Labs, a new AI innovation center built in the open with design partners. A New Era of Software, Breaking at an Unprecedented Pace AI is playing an increasingly important role in creating the software that powers the modern world. Software is increasingly written by AI, tested by AI and released to production by AI with ever-diminishing human review before release. Additionally, AI-powered software in production is failing in new ways: model drift, token runaway, governance violations, PII exposure, and hallucinations, are reducing the reliability of production applications and the LLM-powered features to many workloads exacerbates this problem even more. Outages and service interruptions are increasing and the burden on the teams charged with keeping business-critical applications running has grown exponentially. Recent research shows 95% of executives say the ability to reduce incidents is now a competitive advantage, with 77% planning to increase resilience investment over the next 12 months. This is the challenge PagerDuty was built to address. With more than $100 million invested in research and development annually and approaching one billion incidents managed annually, PagerDuty uniquely brings the scale and experience to help enterprises run reliably, which is why PagerDuty is trusted by two-thirds of the Fortune 100 and tens of thousands of customers globally. Paige, PagerDuty's SRE Agent Paige is PagerDuty's SRE agent built to work as a member of operations, engineering, and DevOps teams, coordinating signal intelligence, incident management, and automation. Paige is designed for optionality: teams can run Paige with a human in the loop, accelerating triage while reserving remediation for approval, or Paige can act autonomously in well-understood scenarios to quickly detect and resolve incidents. Paige assists in resolving lower-priority incidents automatically while providing full visibility to its human operators. What distinguishes Paige most is a capacity to learn: every resolved incident becomes an integral element of shared memory, sharpening Paige's future performance and making each subsequent incident easier to resolve. The PD Reliability Platform The PD Reliability Platform replaces fragmented, multi-tool incident response with a single integrated platform that offers blended teams of agents and humans automated detection, investigation, and remediation combined with the operational context and telemetry needed to act. Central to this is the new PD Reliability Platform Console, a command center for incident commanders and team managers, available exclusively to PD Reliability Platform customers. The console brings an organization's incidents, on-call rotations, and AI agents into a single view, showing which agents are enabled and what they're doing. This empowers teams to track progress and act directly on Paige's recommendations without leaving the screen. PagerDuty Meets Your Team Where They Work The PD Reliability Platform is Slack- and Microsoft Teams-native, so responders can run incidents end to end without leaving the tools they already use. When an incident triggers, PagerDuty automatically spins up a dedicated channel and conference bridge. Responders acknowledge an incident with one click from acknowledging an incident and collaborating with their teammates and Paige to resolve it. Once resolved, a post-incident review is generated instantly, with follow-up actions pre-populated with owners and due dates so long term remediation actions do not go unresolved. PD Labs: Where Customers Shape What PagerDuty Builds Next Alongside Paige and the PD Reliability Platform, PagerDuty is launching PD Labs, a new innovation center built to stay ahead of an AI landscape evolving faster than any traditional product roadmap. Most vendors solve today's problems while remaining blind to how tomorrow's will break differently. PD Labs provides organizations with hands-on access to what PagerDuty's engineers are working on, the ability to try new capabilities against real problems, and a direct line to the people writing the code. * The PD Reliability Platform is available with a platform fee based on operational scale that includes a seeded amount of events ingested for Signal Intelligence, actions for AI and automation, and seats for responders, managers, and stakeholders. The PD Reliability Platform pricing offers one end-to-end solution with one purchasing experience, replacing the need for separate point solutions. * Customers can purchase flexible credits to add events, actions, and seats as they go. Additionally, customers can allocate their investment between people and AI-driven actions rather than committing to seats alone. * To help teams put AI-driven operations to work faster, customers who purchase an Essential, Plus, or Ultimate plan of the PD Reliability Platform before January 15, 2027 will receive additional AI Actions capacity at no extra cost for the first year of their subscription. Learn more at www.pagerduty.com/pricing. Availability * The PD Reliability Platform and Paige are generally available on November 3, 2026. David Marshall is the founder of VMblog.com, one of the industry's longest-running independent publications covering modern data center technologies. What began as a focus on virtualization and cloud computing has expanded to cover the full spectrum of enterprise IT, including AI, security, and DevOps, making VMblog a trusted destination for vendor news, technology analysis, and industry commentary.Beyond publishing, David has spent his career at the intersection of technology and business, inventing, marketing, and launching a number of successful software companies and products, and building a reputation as a skilled marketing executive in the enterprise IT space.David is also a published author, having written two well-regarded books on virtualization and served as technical editor for two "For Dummies" titles covering virtualization and cloud computing. He co-founded CloudCow.com, a publication focused on cloud computing, and has been named a VMware vExpert every year since 2009, one of the longest continuous honoree streaks in the program's history.Connect with David on LinkedIn: https://www.linkedin.com/in/davidmarshall/

Investigate smarter from any agent: blast radius and AI post-incident reviews come to the PagerDuty MCP Server. PagerDuty's new intelligent Model Context Protocol (MCP) tools, recently announced in Early Access, are a step toward autonomous operations. Here's how they help customers get there. The problem isn't your tools. It's the tabs between them. Incident response means a lot of tab switching for most teams. Every tab switch is a delay to resolving the issue... The information needed to resolve the incident exists. It's just scattered across surfaces that don't talk to each other, and the responder becomes the integration layer. AI agents are supposed to fix this, but an agent is only as good as the tools it's given. Early MCP implementations, started as plumbing: API endpoints converted to tools and handed to agents as-is. As the protocol has matured, so has what teams present to agents. At PagerDuty PagerDuty, Inc. think of MCP as a product surface, one that speaks to external agents and LLMs on behalf of your operations data, and it deserves the same design rigor as any UI. Tools should be shaped so agents act quickly, consume tokens efficiently, and return repeatable answers across the full range of real operations work: investigation, response, management, analytics, onboarding, reporting, and change management. What PagerDuty, Inc. is announcing. Using PagerDuty's Remote MCP Server, connected agents can run the full incident lifecycle: create, acknowledge, annotate, reassign, and resolve incidents, and look up who's on call, from supported MCP clients. What's new is Early Access to two intelligent tools that go beyond operations into investigation and learning: blast radius analysis and AI-drafted post-incident reviews. You can see these tools in action at Dreamforce in partnership with the Slackbot MCP Client, where a responder can run an entire incident, including accessing key data from PagerDuty, without leaving Slackbot. Let's look at what each tool does. Map the blast radius before your customers do. When a service degrades, the immediate question is scope... Answering that usually requires an expert that might not be available. The blast radius tool answers it from data. Built on PagerDuty's historical record of which services have had incidents together, it: * Maps the dependencies of the affected service * Identifies which downstream services are at risk * Surfaces correlation strength for each * Quantifies user and account impact. The responder can then ask their agent to check whether any of those correlated services have active incidents right now, which is often how the actual root cause surfaces. This analysis is possible because it draws on PagerDuty's historical incident graph. Draft the post-incident review without leaving the channel. The learning step is the one most teams skip, because by the time the incident resolves, everyone wants to go back to their day. The post-incident review tool helps make sure that step actually happens, right from your MCP client or terminal. A responder can ask their agent to draft a post-incident review for a resolved incident, and PagerDuty generates the AI draft with the timeline, involved services, participants, and narrative markers pre-populated from the incident record. The agent tracks generation progress, and once the draft is ready, the responder can ask for it and get a summary back in the channel, no trip into the PagerDuty UI required. The review gets written while the context is fresh, in the same place the incident was worked, saving time and helping ensure the context is documented for next time. Bringing it together. Its MCP covers the day-to-day mechanics of incident management. These two new tools add to what makes PagerDuty different: intelligence derived from years of your incident history, exposed where agents can act on it. Together they make PagerDuty a platform an agent can genuinely operate: the system of record, the historical intelligence layer, and the action surface, all through one well-designed MCP interface. Your team's surface of choice might be Slackbot today and something else next year. The intelligence underneath shouldn't care. None of this removes humans from the loop. The agent gathers context, surfaces analysis, and executes the actions a responder asks for. Judgment about what to do stays with the people accountable for the outcome, who now spend their attention on the decision instead of the data gathering. Paving the path to autonomous operations. Your team shouldn't be the integration layer between the systems that hold your incident context. PagerDuty's approach to autonomous operations: * Puts intelligent agents to work at scale, handling the noise, accelerating resolution, and keeping you in the loop where it matters * Deepens the full incident management lifecycle by empowering teams to resolve incidents faster * Broadens the platform and ecosystem with capabilities that help teams prevent incidents from happening The intelligent MCP tools move PagerDuty, Inc. closer to that vision. Ready to see how they can bring PagerDuty's intelligence to your team's surface of choice? The blast radius and post-incident review tools are available now in Early Access. Reach out to PagerDuty customer support to request access to the preview tool group for your account.