Event Store Design

by wshobson46891e7e60daNo licenseListed Oct 8, 2026Updated Oct 8, 2026

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

Instructions onlySoftware Development

AI-generated overview

Guides the design and implementation of event stores for event-sourced systems, covering architecture, technology choices and best practices.

What it does: This skill provides guidance on designing event stores for event-sourced applications. It explains core concepts such as append-only streams, ordering, versioning, subscriptions and idempotency, compares event store technologies including EventStoreDB, PostgreSQL, Kafka, DynamoDB and Marten, and lists best practices and pitfalls. It points to a reference file for templates and detailed worked examples.
When to use it: Use it when building event sourcing infrastructure, choosing between event store technologies, implementing custom event stores, or planning event store schemas and scaling. It also suits optimizing event storage and retrieval.
Requirements: No scripts; instructions only. It references a bundled file, references/details.md, for templates and worked examples. No credentials, packages or network access are required.

Event Store Design

Comprehensive guide to designing event stores for event-sourced applications.

When to Use This Skill

Designing event sourcing infrastructure
Choosing between event store technologies
Implementing custom event stores
Optimizing event storage and retrieval
Setting up event store schemas
Planning for event store scaling

Core Concepts

1. Event Store Architecture

┌─────────────────────────────────────────────────────┐│                    Event Store                       │├─────────────────────────────────────────────────────┤│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐ ││  │   Stream 1   │  │   Stream 2   │  │   Stream 3   │ ││  │ (Aggregate)  │  │ (Aggregate)  │  │ (Aggregate)  │ ││  ├─────────────┤  ├─────────────┤  ├─────────────┤ ││  │ Event 1     │  │ Event 1     │  │ Event 1     │ ││  │ Event 2     │  │ Event 2     │  │ Event 2     │ ││  │ Event 3     │  │ ...         │  │ Event 3     │ ││  │ ...         │  │             │  │ Event 4     │ ││  └─────────────┘  └─────────────┘  └─────────────┘ │├─────────────────────────────────────────────────────┤│  Global Position: 1 → 2 → 3 → 4 → 5 → 6 → ...     │└─────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────┐│                    Event Store                       │├─────────────────────────────────────────────────────┤│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐ ││  │   Stream 1   │  │   Stream 2   │  │   Stream 3   │ ││  │ (Aggregate)  │  │ (Aggregate)  │  │ (Aggregate)  │ ││  ├─────────────┤  ├─────────────┤  ├─────────────┤ ││  │ Event 1     │  │ Event 1     │  │ Event 1     │ ││  │ Event 2     │  │ Event 2     │  │ Event 2     │ ││  │ Event 3     │  │ ...         │  │ Event 3     │ ││  │ ...         │  │             │  │ Event 4     │ ││  └─────────────┘  └─────────────┘  └─────────────┘ │├─────────────────────────────────────────────────────┤│  Global Position: 1 → 2 → 3 → 4 → 5 → 6 → ...     │└─────────────────────────────────────────────────────┘

2. Event Store Requirements

Requirement	Description
Append-only	Events are immutable, only appends
Ordered	Per-stream and global ordering
Versioned	Optimistic concurrency control
Subscriptions	Real-time event notifications
Idempotent	Handle duplicate writes safely

Technology Comparison

Technology	Best For	Limitations
EventStoreDB	Pure event sourcing	Single-purpose
PostgreSQL	Existing Postgres stack	Manual implementation
Kafka	High-throughput streaming	Not ideal for per-stream queries
DynamoDB	Serverless, AWS-native	Query limitations
Marten	.NET ecosystems	.NET specific

Templates and detailed worked examples

Full template library and detailed worked examples live in references/details.md. Read that file when you need the concrete templates.

Best Practices

Do's

Use stream IDs that include aggregate type - Order-{uuid}
Include correlation/causation IDs - For tracing
Version events from day one - Plan for schema evolution
Implement idempotency - Use event IDs for deduplication
Index appropriately - For your query patterns

Don'ts

Don't update or delete events - They're immutable facts
Don't store large payloads - Keep events small
Don't skip optimistic concurrency - Prevents data corruption
Don't ignore backpressure - Handle slow consumers

Source and attribution

Source:wshobson/agentsinplugins/backend-development/skills/event-store-designat commit46891e7

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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Event Store Design

Event Store Design

When to Use This Skill

Core Concepts

1. Event Store Architecture

2. Event Store Requirements

Technology Comparison

Templates and detailed worked examples

Best Practices

Do's

Don'ts

Source and attribution

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