AWS Aurora Adaptive Storage automatically adjusts storage based on workload needs, expanding and contracting capacity without downtime or manual provisioning.
Data growth, query patterns and workload spikes are handled seamlessly, allowing databases to scale without reconfiguring clusters or adding storage ahead of time.
The system optimizes how data is distributed and replicated across Aurora’s storage architecture, improving performance and reducing cost for unpredictable or fast growing workloads.
Teams gain a more efficient operational model with storage that responds to real usage instead of fixed capacity planning.
This adaptive approach moves database ops from static storage boundaries to a fully automated, performance driven layer.
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