Designing Data-Intensive Applications

Name: Designing Data-Intensive Applications
Availability: InStock
Author: grndlvl

Community

Practical patterns for scalable data systems

Software Engineering #consensus #partitioning #transactions #replication #distributed-systems #design-patterns #stream-processing

Authorgrndlvl

Version1.0.0

Installs0

System Documentation

What problem does it solve?

Design distributed data-intensive applications using proven patterns to build robust, scalable data systems.

Core Features & Use Cases

Consensus, replication, streaming, and transactional patterns for distributed data
Partitioning, event sourcing, and CQRS for scalable architectures
Real-world decision guides and diagnostic checks for production readiness

Quick Start

Analyze a banking transfer workflow to identify the involved patterns and failure modes.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: Designing Data-Intensive Applications
Download link: https://github.com/grndlvl/software-patterns/archive/main.zip#designing-data-intensive-applications

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

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