Dynamo DB user data loading and cost usage

When designing a DynamoDB table for storing and retrieving customer details logs cost-effectively, consider these strategies:

Choose the right capacity mode:

• Use provisioned capacity with auto scaling for predictable workloads
• Consider on-demand capacity for unpredictable workloads
• For steady, predictable usage, reserved capacity can offer 50-70% discounts with 1-3 year commitments

Optimize your table class:

• Use DynamoDB Standard for frequently accessed data
• Consider DynamoDB Standard-IA (Infrequent Access) for logs that are rarely accessed, which can reduce storage costs by up to 60%
• You can switch between table classes without impacting performance or changing application code

Implement efficient data modeling:

• Consider a single-table design to optimize throughput costs and reduce operational overhead
• Use short attribute names to minimize storage costs and capacity units consumed
• Store large objects in S3 instead of DynamoDB to reduce costs

Utilize cost-saving features:

• Implement Time to Live (TTL) to automatically remove old customer logs at no cost
• Batch write operations using BatchWriteItem API to reduce the number of write capacity units consumed
• Use Query operations instead of Scan to minimize read capacity units

Additional optimization techniques:

• Minimize the size of secondary indexes by using KEYS_ONLY or INCLUDES instead of ALL
• Use efficient data structures to reduce item sizes
• Identify and remove unused resources
• Consider caching frequently accessed data to reduce read operations

By implementing these strategies, you can significantly reduce your DynamoDB costs while maintaining efficient storage and retrieval of customer details logs.
Sources
Is DynamoDB really a sensible option for any business that is write heavy? | AWS re:Post
How Samsung Cloud optimized Amazon DynamoDB costs | AWS Database Blog
Amazon DynamoDB - Amazon DynamoDB Standard-Infrequent Access table class - Amazon Web Services - Infrequently Accessed Data - Cold Data
Minimize DynamoDB costs | AWS re:Post
Using the DynamoDB Well-Architected Lens to optimize your DynamoDB workload - Amazon DynamoDB