Author: Aman Dhingra

In this three-part series, we explore approaches to implement enhanced event-driven patterns for DynamoDB-backed applications. In this post (Part 2), we explore another method which uses global secondary indexes (GSIs) to handle fine-grained Time to Live (TTL) requirements.

In this three-part series, we explore approaches to implement enhanced event-driven patterns for DynamoDB-backed applications. In this post (Part 1), we focus on improving DynamoDB’s native TTL functionality by implementing near real-time data eviction using EventBridge Scheduler, reducing the typical time to delete expired items from within a few days to less than one minute.

In this post, we demonstrate how to evaluate throughput utilization for DynamoDB tables in provisioned mode. Understanding this metrics helps you determine whether switching to on-demand mode is the right choice. Moving to on-demand mode, where you pay-per-request for throughput, can optimize costs, eliminate capacity planning, minimize operational overhead, and enhance overall user experience for your applications.

Amazon DynamoDB is a serverless, NoSQL, fully-managed database that delivers single-digit millisecond performance at any scale. It’s a multi-Region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. Customers can access DynamoDB from their VPC or from workloads that run on-premises with gateway endpoints. For on-premises private network connectivity […]