event-driven-architecture

Event sourcing stores state changes as a sequence of immutable events, while simple async messaging decouples services via transient messages without persisting historical state. This Skill guides pattern selection by comparing their trade-offs for scalable system design.

Implementing the outbox pattern in JavaScript involves writing events to a local database table within the same transaction as state changes, ensuring reliable event publishing. This Skill provides code snippets for the outbox pattern to guarantee data consistency across decoupled services.

Use CQRS in event-driven architecture when you need scalable read operations separate from write logic. This Skill demonstrates implementing CQRS read models alongside event sourcing aggregates to optimize query performance and manage complex domain state reconstruction.

Managing event schema versioning requires strategies to evolve event structures without disrupting existing consumers. This Skill details schema versioning techniques to ensure backward compatibility and reliable event processing across decoupled services.

Event-driven architecture faces limitations in maintaining immediate data consistency across decoupled services due to eventual consistency models. This Skill addresses these challenges by providing patterns like the outbox pattern to ensure reliable state synchronization.