The JusDB Database Engineering Blog

Apply DynamoDB advanced patterns — GSI overloading, sparse indexes, single-table design, and access pattern modeling

Model DynamoDB data with single-table design. Covers composite sort keys, GSI design for multiple access patterns, and on-demand vs provisioned capacity.

DynamoDB and MongoDB are the two most common NoSQL choices, but cost structures, query flexibility, and operational overhead differ dramatically depending on your access patterns.

Migrate from DynamoDB to Aerospike for better cost-performance at scale. Real case study showing 60% cost reduction with improved latency and throughput.

Cut DynamoDB costs by 50% or more with capacity mode optimization, TTL strategies, and smart data modeling. Learn on-demand vs provisioned capacity decision frameworks.

Master Amazon DynamoDB for serverless and high-scale applications. Learn single-table design, GSI/LSI strategies, capacity planning, and cost optimization techniques.

Process DynamoDB Streams with Lambda for change data capture, cross-region replication, and event sourcing