Programming Tutorials

  You followed the tutorials. You modeled your access patterns in Excel or NoSQL Workbench. You successfully implemented the Single Table Design (STD) pattern, stuffing your Users, Orders, and Inventory into one efficient table. Then, production traffic hit. Suddenly, your CloudWatch metrics are bleeding red with  ProvisionedThroughputExceededException . Your latency spikes, but your table’s total provisioned capacity is barely touched. You aren't running out of total capacity; you are hitting a  Hot Partition . Single Table Design is often marketed as the "one true way" to use DynamoDB, but it introduces tight coupling and physical limitations that are rarely discussed in "Hello World" tutorials. This post dissects the mechanics of hot partitions, why blind adoption of STD causes them, and how to implement Write Sharding to solve high-concurrency contention. The Root Cause: Physical vs. Logical Partitions To fix a hot partition, you must understand what DynamoD...