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Demystifying Amazon DynamoDB on-demand capacity mode
- AWS Solutions Architects provide insights on common misconceptions about Amazon DynamoDB on-demand capacity mode.
- On-demand capacity mode can reduce complexity, but questions about cost, performance, and operation persist.
- Misconceptions about on-demand capacity costs include oversimplification of pricing, comparison with provisioned mode, and charges for unused capacity.
- Amazon CloudWatch metrics help optimize costs and understand usage patterns in DynamoDB.
- Performance myths, such as slower response times and limits on scaling, are clarified, highlighting consistent low latency and customizable throughput limits.
- Operational myths are addressed, including control over consumption, pre-warming necessity, and downtime during capacity changes.
- On-demand mode's benefits lie in reduced monitoring needs, seamless scaling, and flexibility for variable workloads.
- Misconceptions about throttling elimination and applicability of on-demand mode are discussed, emphasizing partition-level limits and broad usage potential.
- AWS recommends assessing workload specifics to choose between capacity modes, focusing on operational efficiency and actual usage.
- To start with DynamoDB on-demand mode, utilize the Amazon DynamoDB console and Developer Guide for best practices and optimizations.
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