一家追踪医院医疗设备的公司希望将其现有存储解决方案迁移到AWSCloud.该公司为所有设备配备了收集位置和使用信息的传感器.该传感器数据以无法预测的模式发送,并带有大的尖峰.数据存储在每个医院的场所中运行的MySQL数据库中.该公司希望云存储解决方案能够随着使用情况进行扩展.该公司的分析团队使用传感器数据来按设备类型和医院来计算使用量.团队需要保持分析工具在本地运行,同时从云中获取数据.该团队还需要使用现有的Java应用程序和SQL查询,且所做的更改应尽可能少.解决方案架构师应如何在确保传感器数据安全的同时满足这些要求()
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解析:<br/>https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/data-api.html#data-api.accesshe AmazonRDSDataFullAccess policy also includes permissions for the user to get the value of a secret from AWS Secrets Manager. Users need to use Secrets Manager to store secrets that they can use in their calls to the Data API. Using secrets means that users don't need to include database credentials for the resources that they target in their calls to the Data API.The team needs to keep analysis tools running locally while fetching data from the cloud. <br/>AmazonRDSDataFullAccess策略还包括用户从AWS机密管理器获取机密值的权限。用户需要使用Secrets Manager来存储他们可以在调用数据API时使用的秘密。使用机密意味着用户不需要在对数据API的调用中包含其目标资源的数据库凭据。团队需要在从云中获取数据时保持分析工具在本地运行。FM2010090146https://aws.amazon.com/cn/blogs/security/rotate-amazon-rds-database-credentials-automatically-with-aws-secrets-manager/https://aws.amazon.com/cn/rds/aurora/serverless/