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kleppmann-data-intensive

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Design distributed data systems with Kleppmann.

Software Engineering#design#architecture#distributed-systems#idempotency#event-sourcing#Kleppmann
Authorcopyleftdev
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps engineers design robust, data-intensive distributed systems by applying Martin Kleppmann's principles. It translates deep theoretical concepts into practical guidelines for architecture, data modeling, and fault tolerance.

Core Features & Use Cases

  • Guidance for architectural decisions and trade-offs in databases, streaming systems, and data pipelines.
  • Emphasis on data modeling, schema evolution, and maintaining data integrity over time.
  • Use Case: When building a distributed system, apply trade-off analysis between consistency, availability, and latency to choose appropriate patterns (event sourcing, CDC, idempotency).

Quick Start

Analyze a distributed system design draft and apply Kleppmannā€™s data-intensive principles to improve reliability, scalability, and data modeling.

Dependency Matrix

Required Modules

None required

Components

Standard package

šŸ’» Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: kleppmann-data-intensive
Download link: https://github.com/copyleftdev/blsmesh/archive/main.zip#kleppmann-data-intensive

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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