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event-store-design

Design event store architectures with per-stream versioning and optimistic concurrency.

Updated Apr 4, 2026
Search Tags:#architecture#concurrency#design-patterns#event-sourcing#streams#data-persistence#event-store
One-click install
npx skills add https://github.com/emilneuraz-ai/neuraz-web --skill event-store-design-emilneuraz-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: event-store-design
Source: https://github.com/emilneuraz-ai/neuraz-web/tree/main/.agents/skills/.agents/skills/event-store-design
Command: npx skills add https://github.com/emilneuraz-ai/neuraz-web --skill event-store-design-emilneuraz-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Software teams designing event-sourced systems need a clear pattern for persisting, versioning, and querying events across multiple streams. This Skill provides a structured approach to selecting architectures, defining schemas, and implementing reliable event stores.

Core Features & Use Cases

  • Architecture patterns for event stores including per-stream versioning, snapshots, and subscriptions.
  • Technology selection guidance and trade-off analysis for different storage backends.
  • Practical examples and templates for implementing an end-to-end event store in real-world domains.

Quick Start

Draft an event-store design for a new domain and outline the necessary schemas.

Frequently Asked Questions about event-store-design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design an event store with per-stream versioning and optimistic concurrency?▼

Designing an event store with per-stream versioning requires an append-only architecture where each stream tracks version numbers to enforce optimistic concurrency and ensure deterministic writes.

What is the best way to implement snapshots in an event-sourced system?▼

Implementing snapshots in an event-sourced system involves periodically persisting the aggregated state of a stream to optimize read queries and reduce the overhead of replaying long event histories.

How do I handle real-time subscriptions across multiple aggregates in an event store?▼

Handling real-time subscriptions across multiple aggregates requires an event store architecture that supports broadcasting ordered, append-only events to active listeners as new data is persisted.

When do I need an append-only event store for data persistence?▼

You need an append-only event store for data persistence when your application requires an immutable, ordered log of state changes to support audit trails, reliable event sourcing, and deterministic writes.

How do I select the right storage backend for an event store architecture?▼

Selecting a storage backend for an event store architecture requires analyzing trade-offs between different technologies to ensure they support append-only writes, ordered versioning, and efficient querying.

What are the limitations of using snapshots with event-sourced streams?▼

Snapshots optimize event store reads by caching state, but they add write complexity and require careful version management to stay consistent with the underlying append-only event stream.

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