Implement a backup strategy for Amazon Quick Sight BI assets
Machine Learning Blog
This article provides a comprehensive guide to implementing a backup strategy for Amazon QuickSight BI assets to protect against accidental deletions, unintended modifications, and regional disruptions.
- Use AssetsAsBundle APIs to programmatically export dashboards, analyses, datasets, data sources, and themes with dependencies
- Choose between backing up specific critical assets or all assets for maximum coverage and versioning capabilities
- Store asset bundles in Amazon S3 with date-based prefixes and user/group metadata in DynamoDB for point-in-time recovery
- Implement scheduled backups using EventBridge, Step Functions, and Lambda for automated, recurring protection
- Handle unsupported data sources (Adobe Analytics, Jira, Salesforce, ServiceNow) by converting to compatible formats
- Minimal costs: asset bundles average 500 KB compressed; DynamoDB storage under $0.10/month for small organizations
- Sample automation tool available in AWS Samples repository with flexible configuration and multiple backup modes
The post includes a ready-to-use backup tool, cost estimation guidance, and best practices for production-grade backup strategies aligned with AWS Well-Architected Framework reliability principles.
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