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data-infrastructure-at-scale

Community

Scale data infrastructure from prototype to prod.

Data & Analytics#caching#ETL#streaming#pipelines#scale#data-infrastructure
Authorsunnypatneedi
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Build scalable data infrastructure that grows from MVP to production, enabling you to handle increasing data volumes, throughput, and complexity without rewrites.

Core Features & Use Cases

  • Architecture planning: design scalable pipelines, storage, and compute for growth.
  • Data movement & storage: choose between caches, databases, message queues, and data lake architectures.
  • Migration & modernization: plan staged migrations, sharding, and read/write patterns to evolve systems safely.
  • Use Case: Imagine migrating an on-prem data warehouse to a cloud-native, multi-region setup with real-time analytics.

Quick Start

Use the data-infrastructure-at-scale skill to draft a high-level architecture, identify bottlenecks, and propose a phased migration plan.

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: data-infrastructure-at-scale
Download link: https://github.com/sunnypatneedi/claude-starter-kit/archive/main.zip#data-infrastructure-at-scale

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