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AWS 示範以 Nova Act 與 AgentCore 建立合成監控
AWS 發布一套以 Amazon Nova Act 和 Amazon Bedrock AgentCore 驅動的合成監控架構，讓團隊定期執行瀏覽器中的使用者旅程，並在流程失敗時發出通知。文章也提供 Python 與 AWS CDK 部署路徑的範例實作。
完整報導
AWS 於 2026 年 9 月 28 日發布技術文章，示範如何運用 Amazon Nova Act 與 Amazon Bedrock AgentCore 建立合成監控。這類監控會模擬真實使用者操作，定期檢查登入、購物或表單提交等關鍵流程；AWS 指出，這有助於發現只看基礎設施指標或 API 檢查可能無法及時呈現的使用者旅程問題。
文章中的架構由 Amazon EventBridge Scheduler 定時啟動監控，AgentCore Runtime 執行代理，AgentCore Browser tool 提供隔離的瀏覽器環境；若旅程在某個步驟失敗，代理可透過 Amazon SNS 發送通知。排程範例涵蓋每五分鐘至每小時執行一次，實際頻率可依流程重要性設定。
在操作方式上，Nova Act 以自然語言指示並根據畫面與網站互動，而非依賴固定的 DOM 選取器。AWS 表示，這種方式可減少網站介面變更時維護選取器的工作；文章同時建議，在關鍵步驟明確驗證結果，並為代理未能順利適應的情況設計重試機制。
AWS 隨文提供完整範例實作，並說明可透過 Python 的 deploy.py 或 AWS CDK 部署。這延續了 AWS 在 2025 年 12 月宣布 Amazon Nova Act 正式推出後，將其用於正式環境 UI 工作流程的方向。對需要監測電商結帳、預約或帳戶操作的團隊而言，這套示例把排程、瀏覽器操作與失敗通知串成一個可參考的端到端模式。
為什麼值得注意
合成監控若只檢查服務或 API 是否正常，未必能確認使用者是否真的走完關鍵操作。AWS 的示例把旅程執行與失敗通知整合起來，並以畫面導向的操作減少對固定介面選取器的依賴；但文章也強調，團隊仍需設定明確的結果檢查與重試，不能只把流程交給代理執行。
來源證據
先看主要證據，再查看佐證來源與來源脈絡。
主要證據
1Implementing synthetic monitoring using Amazon Nova Act
Sarath Krishnan
“Learn an agent-driven approach to synthetic monitoring using Amazon Nova Act and Amazon Bedrock AgentCore. The post covers the architecture and patterns for resilient, managed user-journey validation that moves beyond brittle UI scripts, with a complete sample implementation.”
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