DynamoDB

5 posts tagged with DynamoDB

Real-time Data Synchronization: Using DynamoDB Streams and Lambda to Keep OpenSearch Indexes Current

Building modern applications often requires the ability to perform full-text searches with fuzzy matching capabilities on data that’s primarily stored in NoSQL databases like DynamoDB. While DynamoDB excels at fast key-based lookups and can handle massive scale, it lacks the sophisticated search capabilities that applications need for features like autocomplete, typo-tolerant search, and complex text analysis. OpenSearch (the open-source fork of Elasticsearch) provides these advanced search capabilities, but keeping it synchronized with your primary data store presents unique challenges.

DynamoDB with TypeScript: Type-Safe NoSQL Operations

Working with NoSQL databases like DynamoDB can be challenging when it comes to maintaining type safety and data consistency. In this post, we’ll explore how to build robust, type-safe DynamoDB operations using TypeScript, covering everything from basic CRUD operations to advanced patterns like single-table design and transaction handling.

Why Type Safety Matters with DynamoDB

DynamoDB’s flexible schema brings both opportunities and challenges:

CQRS Implementation with AWS Services

Command Query Responsibility Segregation represents a fundamental shift in how we think about data persistence and retrieval in distributed systems. Rather than treating reads and writes as symmetric operations against a single data model, CQRS acknowledges the inherent differences between these operations and optimizes each path independently. In the context of AWS services, this pattern becomes particularly powerful when we leverage the managed services ecosystem to handle the complexity of maintaining separate command and query models.

Event Sourcing Patterns in AWS

Event sourcing fundamentally changes how applications handle state management by storing every state change as an immutable event rather than maintaining current state snapshots. This architectural pattern becomes particularly powerful when implemented on AWS, where managed services provide the scalability and durability required for enterprise-grade event sourcing systems. Understanding how to leverage AWS services effectively for event sourcing can transform application architectures from brittle state-dependent systems into resilient, audit-friendly, and highly scalable solutions.