Virtana让其AI agents从其他销售商那里拉进agents，制造IT事件
信息技术可观察性公司Virtana今天在其平台上增加了代理可观察性企业管理(Agentic Observatory Entertainment Management)，因此其人工智能agents可以将其他销售商的agents拉入IT事件。
发行时间是在企业迄今为止采用AI agents的方式留下的空白之后。 多数agents企业已经建在一个单一的销售商产品中，例如信息技术服务管理系统。 当几个供应商的故障在系统之间蔓延时，agents没有看到整个停产。 整理结果仍然属于工程师。
发现麻烦的Virtana agent，任何说模型上下文协议或开放的Agent2Agent协议的agent都是符合条件的，包括那些与公司已经拥有的软件捆绑在一起的协议。
agents以外自2月份公司发布其System-Aware MCP Server开始能够查询Virtana的监测数据。 饲料运行到超过25,000实时的度量衡。 Agents被调用到一起事件中，也从系统依赖图(Virtana 推出)中获得了一个共同的观点，即应用程序如何依赖于其下方的基础设施，而同时该图是Virtana 推出。 一个月后，Virtana将其监测范围扩大到AI的工作量。
在Virtana的示例中，第三方的agent通知了一个应用已经放缓，要求Virtana通过Agent2Agent定位的根因分析agent进行调查。 诊断指出，最近软件部署后出现了数据库瓶颈。 后续问题可以在其他专业的agents排队进行修补之前，回到根源agent. Virtana的软件证实应用程序恢复正常。
根据首席产品官Amitkumar Rathi的说法，一个传统的IT战室需要几个小时的时间才能工作人员和运行，agents团队可以“以毫秒的速度”完成同样的工作。
这种自主权只适用于客户事先界定的事件类型。 客户想要更加谨慎，可以让工程师执行agents建议的任何修补，或在运行前要求每个agent动作的签注。 政策还决定agents以外的哪些人进入调查，以及他们在那里消费多少个代币。 每一个agent动作都会写到审计日志。
Virtana公司由Virtual Absolutements公司经营，直到2019年重新品牌，是一家风险资本支持的公司，开始销售监测IT基础设施绩效的工具。 投资者在2022年投入了7300万美元，其中Atalaya Capital Management LP和Benhamou Global Ventures为其中之一。
图片：Virtana
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Virtana lets its AI agents pull in agents from other vendors to work IT incidents
Information technology observability company Virtana today added Agentic Observability Enterprise Management to its platform so its artificial intelligence agents can pull agents from other vendors into an IT incident.
The release goes after a gap left by the way enterprises have adopted AI agents so far. Most enterprise agents have come built into a single vendor’s product, such as an IT service management system. When a failure spreads across systems from several vendors, none of those agents sees the whole outage. Collating the findings still falls to engineers.
With the new capabilities, a Virtana agent that spots trouble can invite other vendors’ agents into the investigation. Any agent that speaks the Model Context Protocol or the open Agent2Agent protocol is eligible, including those bundled with software a company already owns.
Outside agents have been able to query Virtana’s monitoring data since February, when the company released its System-Aware MCP Server. The feed runs to more than 25,000 real-time metrics. Agents called into an incident also get a shared view of how applications depend on the infrastructure beneath them from the System Dependency Graph, which Virtana introduced at the same time. A month later Virtana extended its monitoring to AI workloads.
In Virtana’s illustration, a third-party agent notices an application has slowed down and asks Virtana’s root cause analysis agent, which it locates through Agent2Agent, to investigate. The diagnosis points to a database bottleneck that appeared after a recent software deployment. Follow-up questions can go back to the root cause agent before other specialized agents are lined up for the fix. Virtana’s software then confirms the application is back to normal.
A conventional IT war room takes hours to staff and run, according to Chief Product Officer Amitkumar Rathi, who said a team of agents can get through the same work “in milliseconds.”
That kind of autonomy applies only to incident types a customer has defined in advance. Customers wanting more caution can have engineers carry out whatever fixes the agents recommend, or require sign-off on each agent action before it runs. Policy also decides which outside agents get into an investigation and how many tokens they are allowed to consume once there. Every agent action is written to an audit log.
Virtana, which went by Virtual Instruments until a 2019 rebrand, is a venture capital-backed company that started out selling tools for monitoring the performance of IT infrastructure. Investors put $73 million into the business in 2022, with Atalaya Capital Management LP and Benhamou Global Ventures among them.
Image: Virtana
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