How an AWS team detects dashboard content failures at scale using Amazon Bedrock
Amazon Web Services Kimiya Yokoo
An AWS team built an automated content validation system to catch dashboard failures that infrastructure monitoring misses, by visually and numerically checking hundreds of dashboards and alerting owners. The setup cut mean time to detection from up to 72 hours to less than 1 hour. As a result, content issues that previously required user reports became detectable in under 1 percent of cases with real-time Slack notifications and faster owner fixes.
Why it matters
Business intelligence dashboards can fail silently, showing blank, stale, or wrong data even when every infrastructure monitor reports healthy. Learn how an AWS team built an automated, AI-powered content validation solution on Amazon Bedrock that scans hundreds of dashboards and alerts owners, cutting mean time to detection from days to under an hour.