Amazon Quick Sight, a core feature of Amazon Quick, provides AI-powered BI capabilities through natural language queries and interactive dashboards. The service now supports backup strategies for BI assets such as dashboards, analyses, datasets, and data sources using the AssetsAsBundle APIs. A backup strategy helps protect against accidental deletions, unintended modifications, and regional disruptions, ensuring business continuity for critical operations. This post outlines best practices for implementing a backup strategy, including asset selection and API usage for exporting data. It also provides sample code to help users get started quickly. Source: awsml
Backup strategies are especially important for organizations in regulated industries like finance, healthcare, and energy. These sectors require data loss prevention to avoid human errors, ransomware attacks, and other incidents. A well-designed backup plan helps meet Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO), minimizing data loss during disruptions. It also supports audit and reporting by tracking asset changes throughout their lifecycle, enhancing workload resiliency and system reliability. This aligns with the Reliability pillar of the AWS Well-Architected Framework. Source: awsml
The post explains how Quick Sight relies on AWS's global infrastructure across multiple regions for high availability. The Super-fast, Parallel, In-memory Calculation Engine (SPICE) stores and encrypts data with high availability through redundant copies in multiple Availability Zones. However, if a regional outage occurs, users must maintain resources in secondary regions to ensure continued access. Quick Sight uses a single region for user and identity management, which must remain available for users to access the service. The article also provides a command to retrieve the main region for identity management, which is essential for designing a disaster recovery plan. Source: awsml
