Automatic throughput scaling for AWS DynamoDB tables based on CloudWatch metrics and configurable thresholds.
Dynamic DynamoDB is an open-source tool that provides automatic throughput scaling for AWS DynamoDB tables. It monitors CloudWatch metrics and automatically adjusts read and write capacity based on configurable thresholds, solving the problem of manual scaling and helping optimize both performance and costs.
AWS users and DevOps engineers managing DynamoDB tables who need automated scaling to handle variable workloads while controlling costs.
Developers choose Dynamic DynamoDB because it provides granular control over scaling behavior with configurable thresholds, supports cost boundaries with min/max limits, and offers time-based scaling restrictions—all while being open-source and self-hostable.
Dynamic DynamoDB provides auto scaling for AWS DynamoDB
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Scales DynamoDB tables up and down based on consumed throughput percentages, as demonstrated in the command example with configurable thresholds like --reads-upper-threshold 90.
Supports maximum and minimum capacity limits to control spending and guarantee baseline performance, highlighted in the features list.
Allows scaling to be restricted to specific time slots, useful for handling predictable traffic spikes during business hours, as noted in the philosophy.
Provides detailed control over scaling percentages and thresholds for reads and writes separately, evident in the --increase-reads-with and --decrease-writes-with options.
The project was last updated in 2014, and AWS has since introduced native DynamoDB auto-scaling features that might offer better integration and support.
Requires IAM policy configuration and command-line management, which can be cumbersome compared to AWS's built-in solutions, as shown in the required privileges section.
Community applications like the Chef cookbook are deprecated, indicating reduced maintenance and potential compatibility issues with modern AWS services.