{"version":1,"type":"story","url":"https://digestai.news/story/aws-shows-synthetic-monitoring-with-nova-act-and-agentcore","json":"https://digestai.news/story/aws-shows-synthetic-monitoring-with-nova-act-and-agentcore.json","markdown":"https://digestai.news/story/aws-shows-synthetic-monitoring-with-nova-act-and-agentcore.md","slug":"aws-shows-synthetic-monitoring-with-nova-act-and-agentcore","headline":"AWS shows synthetic monitoring with Nova Act and AgentCore","summary":"AWS published a tutorial on building synthetic monitoring using Amazon Nova Act and Amazon Bedrock AgentCore. The approach replaces traditional selector-based browser scripts with natural-language actions driven by Nova Act's multimodal model, which processes UI screenshots instead of DOM locators. AWS says early enterprise customers have seen over 90% accuracy on browser workflows with Nova Act.\n\nThe architecture uses EventBridge Scheduler to trigger runs every 5 minutes to hourly, AgentCore Runtime for serverless execution with session isolation, the AgentCore Browser tool for remote browser sessions, and SNS for failure alerts. A sample repository provides a complete implementation for a six-step ecommerce journey that typically completes in 2 to 4 minutes. AWS includes a deploy.py script and a CDK stack for production deployment with dead-letter queues and CloudWatch alarms.\n\nCost estimates for the sample six-step journey running every 5 minutes (about 8,640 invocations per month) cover AgentCore Runtime invocations, Browser tool sessions, Nova Act inference, EventBridge Scheduler calls, and SNS notifications. AWS recommends focusing on 3-5 critical workflows to avoid alert fatigue and using ephemeral browser sessions for test independence.","keyPoints":["Nova Act uses vision-language model on screenshots, not DOM selectors, for resilience","Architecture combines EventBridge Scheduler, AgentCore Runtime, Browser tool, and SNS","Sample ecommerce journey runs in 2-4 minutes; ~8,640 runs per month at 5-minute cadence"],"whyItMatters":"Shows a managed, agent-driven alternative to brittle Selenium or Playwright scripts for synthetic monitoring, reducing maintenance and infrastructure overhead for teams validating critical user journeys.","category":{"slug":"agents","name":"Agents & Tools","url":"https://digestai.news/category/agents"},"entities":{"companies":["AWS","Amazon"],"models":["Amazon Nova Act"],"people":[]},"firstPublishedAt":"2026-09-28T15:56:32Z","updatedAt":"2026-09-28T15:56:32Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"AWS Machine Learning Blog","title":"Implementing synthetic monitoring using Amazon Nova Act","url":"https://aws.amazon.com/blogs/machine-learning/implementing-synthetic-monitoring-using-amazon-nova-act","publishedAt":"2026-09-28T15:56:32Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"AWS shows synthetic monitoring with Nova Act and AgentCore\", 28 September 2026, https://digestai.news/story/aws-shows-synthetic-monitoring-with-nova-act-and-agentcore","publisher":"Digest AI","title":"AWS shows synthetic monitoring with Nova Act and AgentCore","datePublished":"2026-09-28T15:56:32Z","url":"https://digestai.news/story/aws-shows-synthetic-monitoring-with-nova-act-and-agentcore"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}