event-store-design

Design durable event stores with append-only persistence and per-stream versioning.

Updated Jan 8, 2026
One-click install
npx skills add https://github.com/SaiyedMuhammadAnasMaududi/Full_stack_Todo_App_Hackathon --skill event-store-design-saiyedmuhammadanasmaududi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: event-store-design
Source: https://github.com/SaiyedMuhammadAnasMaududi/Full_stack_Todo_App_Hackathon/tree/main/.claude/agents/backend-development/skills/event-store-design
Command: npx skills add https://github.com/SaiyedMuhammadAnasMaududi/Full_stack_Todo_App_Hackathon --skill event-store-design-saiyedmuhammadanasmaududi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designing robust event stores for event-sourced systems to ensure reliable persistence, replayability, and audit trails across distributed components.

Core Features & Use Cases

  • Event store architecture with per-stream and global ordering, append-only writes, and optimistic concurrency control.
  • Technology guidelines for choosing between EventStoreDB, PostgreSQL, Kafka, and DynamoDB based on workload and consistency needs.
  • Use cases like aggregating domain events, creating snapshots, and building projections for read models.

Quick Start

Outline a starter event store plan for your target stack and define the first 3 events for an example aggregate.

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 a scalable event store for an event-sourced architecture?

To design a scalable event store, apply append-only persistence, per-stream versioning, and optimistic concurrency control. Specify requirements for snapshots and subscriptions to ensure reliable replayability and audit trails across distributed components.

What is the best way to choose between EventStoreDB, PostgreSQL, Kafka, and DynamoDB for event sourcing?

Choose between EventStoreDB, PostgreSQL, Kafka, and DynamoDB by evaluating technology guidelines against your specific workload and consistency needs. Compare append-only persistence, per-stream ordering, and subscription capabilities to match your architectural requirements.

How do I implement per-stream versioning and optimistic concurrency control in a durable event store?

Implement per-stream versioning and optimistic concurrency control by enforcing append-only writes and tracking stream versions. Ensure idempotent writes to maintain durability and consistency when persisting domain events across distributed components.

When do I need snapshots and projections for an event-sourced system?

You need snapshots and projections when aggregating domain events for read models becomes a performance bottleneck. Creating snapshots periodically captures aggregate state, reducing the need to replay entire event streams during query execution.

Does this event store design approach support idempotent writes and global ordering?

Yes, this event store design approach supports idempotent writes and global ordering. It specifies requirements for both per-stream and global ordering to ensure reliable persistence and consistent replayability across multiple backends like EventStoreDB and PostgreSQL.