An Amazon RDS database instance is used by many applications to look up historical data. The query rate is relatively constant. When the historical data is updated each day, the resulting write traffic slows the read query performance and affects all application users. What can be done to eliminate the performance impact on application users?

Questions on how to write code and design scalable applications, implement application security and testing, and on AWS components such as S3, Dynamo DB, Elastic Beanstalk, and CloudFormation.