PagerDuty 首播Paige AI agent 更名为 PD 可靠性平台和 PD 实验室
运营管理软件公司PagerDuty Inc. 今天的推出 Paige，一个人工智能的agent，用于站点可靠性工程，建成后作为运营和工程团队的成员工作。
佩奇在公司的旗舰产品上运行，从今天起称为PD可靠性平台。 除了两者之外，PagerDuty还打开了PD Labs，在客户仍在建设期间将早期的功能放在前方。
发布旨在解决PagerDuty 称问题，因为AI编码工具写更多的生产软件，大部分发货时几乎没有人评。 基于AI模型的应用也以自己的方式破裂。 首席执行官约翰·迪卢尔洛(John DiLullo)指出模型漂移，信使逃逸和泄露个人数据为例。 他称是唯一能保持韧性的方法
客户将佩奇的许可团队按团队设置。 保持一个人循环的团队会得到更快的分解，并持有补救等待批准，而agent只在团队明确授权的明晰，低风险的情景下自行行动。 3月，PagerDuty 称公司SRE Agent公司将开始加入升级政策，成为“虚拟反应者”。 Paige，作为该公司下一代SRE agent的账单，现在可以这样称呼。 低优先级事件可能永远无法触及人类。
Paige的建议附有证据和信任程度。 到答复者读到一个时，许多可能的原因已被排除。 PagerDuty认为，一旦一个已解决的事件被写入Paige在类似事件失败时会查阅的共享记忆中，更大的回报就会在稍后出现。 在基准测试与发布的一份报告中，称 Paige公司在诊断模拟信息技术事件时比领导AI编码agents做得更好。
重新命名的平台，直到今天被称为PageerDuty Operation Cloud，是佩奇获得其操作背景的地方。 事件指挥官和团队管理人员还获得了一个新的PD可靠性平台控制台，将事件，待命轮换和AI agents置于一个观点中。 显示控制台agents开机每个人在做什么佩奇建议的解决办法可以从同一屏幕上执行。
响应者可以在Slack或MicrosoftTeams中运行一个事件结束。 扳机打开专用频道和会议桥，不需要任何人设置。
Slack的工商发展总监史蒂夫·米勒(Steve Miller)，称拥有佩奇和Slack内部的平台，给予应答者速度和能见度，他称其批评是“代理团队和人类团队在同一频道边操作”。 事发后审查一经解决，就立即产生，其后续行动由业主和指定到期日来完成。
加拿大电信公司Telus Corp.将该平台的wired纳入了自己的中央内部事件工具。 称 PagerDuty的Scribe Agent现在遍及每起事件，因此回应者“不必停下来记录正在发生的事情。
较早阶段的作品贯穿PD Labs,PagerDuty正与早期获得访问权的设计伙伴一起在开放中构建PD实验室，并直接连接到写代码的工程师。
三个实验即将开始地形学保存着一个组织的服务实况地图，从它的代码、基础设施和运行簿中汇集。 不需要配置管理数据库，随着条件的变化，地图会自动标注一个问题的爆炸半径。
Deep Investigation让佩奇同时测试了几个根源假设，同时随着新证据的出现，在每一个假设上显示其推理。 塞尔维亚 Workbench给人和agents一个工作空间来并肩解决一个问题，无论他们发现什么，都保存在同一记忆中佩奇从中吸取的教训。
据国际数据公司IT服务管理研究经理Snow Tempest表示，IT团队希望从AI agents的开支中获得可衡量的成果。 时间倒数着，时间还给回应者，否则他们会“查记录，更多组织也希望防止事件发生，Tempest 称。
佩奇和PD可靠性平台今日普遍可用，SRE Workbench开放通过PD实验室尝试。 该平台的销售费用与业务规模挂钩，包括开始分配摄入活动、自动化行动和用户座位。 超过它的客户可以购买灵活的信用，而不必提前预测使用。
图片：PagerDuty/GPT 图像2.5
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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
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