Build an enterprise observability solution for Amazon Quick
Machine Learning Blog
This article provides a technical guide for building an enterprise observability solution for Amazon Quick, a generative AI platform.
- Consolidates Amazon Quick operational data from CloudWatch and CloudTrail into secured S3 data lake
- Enables tracking adoption, satisfaction, costs, and governance from single dashboard
- Uses CloudWatch subscription filters and Firehose to transform and store logs
- EventBridge routes CloudTrail API calls to dedicated Firehose delivery stream
- AWS Glue Data Catalog maintains metadata for Athena external tables and views
- Lake Formation provides fine-grained data lake permissions at table and column level
- QuickSight dashboard enables interactive exploration of observability metrics
- Custom chat agent answers natural language questions about platform usage
- End-to-end encryption using customer-managed AWS KMS keys with automatic rotation
- Deployment organized in steps: vended logs, data pipeline, data catalog, dashboard, topic, chat agent
The solution provides a complete observability platform for Amazon Quick deployments, enabling organizations to monitor usage, measure satisfaction, and audit governance at scale.
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