helland-distributed-data

What problem does it solve?

This Skill addresses the challenges of building highly scalable data systems by providing patterns and principles that move beyond traditional distributed transactions, which become impractical at scale.

Core Features & Use Cases

• Idempotency: Ensures operations can be retried safely, crucial for unreliable networks.
• Entity-Based Design: Focuses on independently scalable data entities rather than tables.
• Messaging Patterns: Utilizes sagas and outbox patterns for reliable cross-entity consistency.
• Use Case: When designing a new microservice that handles user accounts and orders, apply Helland's principles to ensure each service can scale independently and maintain consistency without relying on two-phase commits.

Quick Start

Apply the principles of idempotent operations and entity-based design when building your distributed data systems.