How does this skill handle write conflicts?

It implements optimistic concurrency control by checking the expected version of a stream before appending new events, ensuring data integrity during simultaneous updates.

What is the primary purpose of an event store?

An event store acts as a specialized database that saves a sequence of state-changing events as the immutable source of truth for an application, rather than just storing the current state.

Can I use a standard SQL database like PostgreSQL for event sourcing?

Yes, this skill provides specific schemas and Python implementation patterns for building a high-performance event store using PostgreSQL, including support for global positions and JSONB data.

Is this skill compatible with cloud-native serverless environments?

Absolutely. It includes templates for DynamoDB, making it an excellent choice for AWS-native serverless architectures where traditional databases might be less ideal.

Event Store Design

Name: Event Store Design
Author: Tahir-yamin

byTahir-yamin

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数据库管理

Architects and implements robust, scalable event storage systems for event-sourced backend applications.

关于

The Event Store Design skill provides a comprehensive framework for building event-sourced infrastructure, offering domain-specific guidance on event persistence patterns. It helps developers choose between specialized technologies like EventStoreDB and general-purpose databases like PostgreSQL or DynamoDB, providing implementation templates for each. By utilizing this skill, engineers can ensure their event-driven systems maintain strict ordering, immutability, and efficient retrieval, facilitating a reliable source of truth for complex distributed microservices.

主要功能

Multi-database implementation patterns for PostgreSQL, DynamoDB, and EventStoreDB
Snapshotting patterns to optimize aggregate state recovery
Optimistic concurrency control using stream versioning
Automated subscription and checkpointing logic templates
Global and per-stream event ordering architecture
3 GitHub stars

使用场景

Building the persistence layer for a new Event Sourcing microservice
Implementing custom event store logic on existing relational database stacks
Migrating traditional CRUD architectures to event-driven systems

关于

主要功能

Multi-database implementation patterns for PostgreSQL, DynamoDB, and EventStoreDB
Snapshotting patterns to optimize aggregate state recovery
Optimistic concurrency control using stream versioning
Automated subscription and checkpointing logic templates
Global and per-stream event ordering architecture
3 GitHub stars

使用场景

Building the persistence layer for a new Event Sourcing microservice
Implementing custom event store logic on existing relational database stacks
Migrating traditional CRUD architectures to event-driven systems