Optimize costs with scheduled scaling of Amazon DocumentDB for read workloads
Database Blog
This article discusses how to optimize costs for read workloads on Amazon DocumentDB by scheduling scaling operations based on anticipated traffic patterns.
Specifically, the article covers:
- Two methods for scheduled scaling: scaling with multiple replicas and targeted replica
- Solution overview and architecture using AWS Lambda and Amazon EventBridge
- Prerequisites and step-by-step instructions to deploy Lambda functions and create EventBridge rules
- How to clean up the resources if no longer needed
- Conclusion highlighting the cost-effectiveness of this approach
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 17
2024
2024
Optimize Amazon RDS costs for predictable workloads with automated IOPS and throughput scaling
Jun 19
2024
2024
Unlock the power of parallel indexing in Amazon DocumentDB
Apr 16
2024
2024
Scale write performance on Amazon DocumentDB elastic clusters
Aug 23
2024
2024
Optimizing costs on Amazon DocumentDB using event-driven architecture and the AWS EventBridge Terraform module
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.