Implementing synthetic monitoring using Amazon Nova Act
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.
Synthetic monitoring is a technique that uses automated transactions to mimic real user journeys. This proactive approach detects problems faster than waiting for customers to encounter issues, particularly for critical workflows like logins, purchases and form submissions. By continuously validating these workflows, organizations can safeguard user interactions and prevent performance degradation or broken UI interactions from negatively impacting the user experience.
Traditional synthetic monitoring methods often struggle with UI changes which can break tests requiring constant maintenance. Amazon Nova Act and Amazon Bedrock AgentCore offer a solution that uses a multimodal large language model (LLM) to reason from what it sees on screen, rather than relying on CSS classes or element IDs. This makes it significantly more resilient to UI changes.
The architecture combines AWS services such as Amazon EventBridge Scheduler for scheduling runs, Amazon Bedrock AgentCore Runtime for serverless execution and isolated execution environment, and Amazon SNS for alerting. By moving beyond brittle UI scripts and browser automation frameworks, organizations can achieve more reliable monitoring of customer journeys.
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