Why architecture matters here

DynamoDB fails on hot partitions, wrong index choice, and capacity mode mismatch. Architecture matters because PK design + index + capacity decide performance + cost.

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The architecture: every piece explained

The top strip is the model. Table PK + SK. Partitioning hash of PK. GSI / LSI alt indexes. Capacity modes provisioned / on-demand.

The middle row is features. Auto-scale target utilization. Streams CDC-like. TTL auto expire. Global tables multi-region.

The lower rows are ops. Access IAM + VPC endpoint. Metrics throttles + latency. Ops — schema patterns + cost + audit.

DynamoDB — partition key + GSI + auto-scale + streams + on-demandmanaged KV/document at scaleTablePK + SKPartitioninghash of PKGSI / LSIalt indexesCapacity modesprovisioned / on-demandAuto-scaletarget utilizationStreamsCDC-likeTTLauto expireGlobal tablesmulti-regionAccessIAM + VPC endpointMetricsthrottles + latencyOps — schema patterns + cost + auditscaletriggerexpirereplicategatewatchwatchoperateoperate
DynamoDB architecture: PK, GSI, capacity, streams.
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End-to-end flow

End-to-end: order table PK=customer_id, SK=order_time. GSI on status. On-demand capacity. Streams trigger analytics pipeline. TTL clears expired sessions. Global tables to two regions.