Home icon

Optimize Amazon RDS costs for predictable workloads with automated IOPS and throughput scaling

Database Blog



This article provides a solution for optimizing Amazon RDS costs for predictable workloads by automating the scaling of IOPS and throughput using tags, AWS Lambda, and EventBridge Scheduler.

Specifically, the article covers:

  • Solution overview with key components like EventBridge Scheduler, Lambda function, and RDS instance tags
  • Limitations of Amazon RDS storage operations
  • Prerequisites for implementing the solution
  • Step-by-step instructions for creating the Lambda function and necessary IAM role
  • Testing the Lambda function automation
  • Scheduling the Lambda function to run daily using EventBridge Scheduler
  • Cleaning up the resources created for the test environment
  • Conclusion highlighting the potential cost savings and performance improvements


Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Jun 12
2024
Optimize costs with scheduled scaling of Amazon DocumentDB for read workloads
Jun 20
2024
Amazon RDS for SQL Server supports up to 64TiB and 256,000 IOPS with io2 Block Express volumes
Apr 11
2024
AWS tools to optimize your Amazon RDS costs
Jun 3
2024
Right-sizing Amazon RDS for Db2 by replaying the Db2 LUW workload

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.