Amazon Web Services 推出了一款智能体，据称能够“像经验丰富的云架构师一样”评估您的云环境，并推荐有用的变更。这家云计算巨头将其机器人命名为“AWS Well-Architected Agent”（AWS 云架构优化智能体），这是对 Well-Architected Framework（云架构优化框架）的致敬，该框架概述了使用亚马逊云的最佳实践。
Amazon Web Services has debuted an agent that it says will evaluate your cloudy environment “as an experienced cloud architect would” and recommend useful changes. The cloud colossus named its bot the “AWS Well-Architected Agent,” a nod to the Well-Architected Framework that outlines best practices for using the Amazonian cloud.
亚马逊的公告称，该框架的智能体化版本会根据“涵盖 65 多项 AWS 服务的 Well-Architected 最佳实践”分析 AWS 环境，随后提供“针对性的、上下文相关的建议，以改进应用程序的成本、安全性、性能和弹性”。
Amazon’s announcement says the agentic incarnation of the Framework analyzes AWS environments “against Well-Architected best practices across 65+ AWS services” and then delivers “targeted, contextual recommendations for improving your applications’ cost, security, performance, and resilience.”
据介绍，“它生成的建议与您声明的业务目标保持一致，每项发现都附带实施包，并呈现跨支柱的权衡分析，使修复发现的问题变得更加简单。”
“It generates recommendations aligned to your declared business goals, delivers implementation packages with every finding, and surfaces cross-pillar trade-offs making it simpler to remediate the findings,” we’re told.
该智能体还提供“即用型修复方案”，并“提供单个资源的发现结果及具体的金额影响（如适用）和分步修复指南、针对您的应用程序范围内多个资源的汇总发现结果，以及与 Well-Architected 最佳实践对齐所需的广泛架构模式、设计和基础设施即代码变更。”
The agent also delivers “ready-to-implement fixes” and “provides individual resource findings with specific dollar impact (where applicable) and step-by-step remediation, consolidated findings across multiple resources scoped to your application, and broad architectural patterns and designs with Infrastructure as Code (IaC) code changes needed to align with Well-Architected best practices.”
AWS 提供了众多服务——其中一些功能和特性有重叠。客户往往发现自己使用的服务比预期的多，或者使用的服务并不完全适合其预期用途。即使客户更换为更合适的服务导致支出减少，AWS 通常也乐见其成，并提供来自其自身员工或渠道合作伙伴的协助来实现这一转变。这款智能体可能会减少对部分人工协助的需求。
AWS offers myriad services — some of them with overlapping features and functions. Customers often find themselves using more services than they intended, or using services that aren’t quite right for their intended use. AWS is generally happy if customers change to more appropriate services, even when that sees them spend less, and offers assistance from its own staff or channel partners to make it happen. This agent may make some of that human assistance less necessary.
AWS 远非唯一建议智能体应承担当今人类 IT 专业人员执行的部分琐碎工作的公司——这种方法被称为 AIOps。
AWS is far from alone in suggesting agents should take on some of the chores that human IT professionals perform today - an approach that’s come to be known as AIOps.
当记者与IT专业人士谈论AIOps时，他们表示不信任，理由是无法确定智能体是否会提出有效建议，且认为如果遵循机器提供的错误建议导致事态恶化，将无法自圆其说。我交谈过的供应商认为，IT专业人士会先谨慎验证AIOps系统的建议，如果看到良好效果，便会允许智能体在无人工监督的情况下采取更多行动——但始终保留快速回滚变更的能力。
When your correspondent chats to IT pros about AIOps, they express distrust on grounds that they cannot be sure agents make valid suggestions and feel following bad advice offered by a machine would indefensible if things go pear-shaped. Vendors I’ve spoken to believe IT pros will first cautiously verify recommendations from AIOps systems, and if they see good results allow agents to take more actions without human oversight - but always with the ability to quickly roll back changes.
AWS似乎意识到用户不会立即全盘接受，因此提供了多种手动方式来应用智能体建议的推荐操作，包括命令行界面。目前，该智能体在美国东部（弗吉尼亚北部）、美国东部（俄亥俄）和美国西部（俄勒冈）区域可用，但可处理来自任何AWS商业区域的工作负载。仅面向拥有AWS支持计划的用户开放。®
AWS seems to recognize that users won’t go all-in immediately and therefore offers several manual means to apply recommendations the agent suggests, including the command line interface. For now, the agent is available in the US East (N. Virginia), US East (Ohio), and US West (Oregon) regions, but can handle workloads from any AWS commercial Region. It’s only available for users with an AWS support plan. ®