Amazon DynamoDB strategies for handling traffic spikes

Amazon Web Services (AWS) has released guidance designed to help customers better manage traffic spikes in their Amazon DynamoDB databases. The advisory outlines eight distinct design patterns intended to prevent "throttling," a condition where database traffic exceeds configured limits, causing requests to be slowed or rejected.

Throttling occurs when the request rate surpasses the provisioned capacity of a table or when the rate to a specific partition exceeds its hard limit. The AWS blog post details practical solutions for mitigating these issues, including leveraging auto scaling, adjusting target utilization settings, and switching to on-demand mode.

The guidance also suggests methods for making background workloads self-throttling or implementing slow-start mechanisms during peak periods. The design patterns address predicting spike timings for scheduled auto scaling adjustments or proactively requesting capacity changes when spike occurrences are unpredictable.

Finally, AWS proposes a strategic approach that allows for a controlled level of throttling. This can optimize costs and resource allocation in scenarios where sudden, short-lived traffic surges do not necessitate constant, maximum capacity. The guidance offers valuable insights for enhancing DynamoDB performance and maintaining stability amidst fluctuating workloads.