DynamoDBv1.0.0

Store and query user orders with partition keys like USER#123 and sort keys like ORDER#2024-01-15. Use GSIs for filtering by order status or date ranges, avoiding scans. Implement pagination for order history and conditional writes to prevent duplicate orders.

Track player scores with partition keys like GAME#xyz and sort keys by score for efficient range queries. Use TTL to expire old scores and batch operations for bulk updates. Ensure high cardinality in partition keys to prevent hot partitions during peak events.

Log sensor data with partition keys like DEVICE#abc and timestamps as sort keys for time-series queries. Leverage sparse GSIs to index only active devices and use on-demand capacity for unpredictable traffic spikes. Implement consistent reads for critical alerts.

Record transactions with composite keys like ACCOUNT#123-TX#456 for atomic writes using TransactWriteItems. Use strong consistency reads for balance checks and pagination to handle large audit logs. Store large documents in S3 with references in DynamoDB to stay under item size limits.

Manage user subscriptions with DynamoDB, using single-table design to store users, plans, and billing events. Scale with on-demand capacity for variable usage and implement TTL for expired trials. Revenue comes from monthly or annual subscription fees.

Process ad impressions and clicks in real-time, storing data with high-cardinality keys to distribute load. Use GSIs for querying by campaign or demographic and batch writes for efficiency. Monetize through pay-per-click or impression-based advertising.

Securely store patient records and appointment schedules, leveraging conditional writes for data integrity and transactions for multi-step updates. Use provisioned capacity with auto-scaling for predictable traffic and strong consistency for critical reads. Revenue is generated via service fees or insurance billing.