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Caching System Design Case Studies

4 Caching case studies from Netflix with full breakdowns.

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Companies

Microsoft5JPMorgan4Meta4Netflix4TikTok4OpenAI3Roblox3Uber3Adobe2Amazon2Apple2Goldman Sachs2Pinterest2Rippling2Snowflake2Walmart2Airbnb1Anduril1Atlassian1Bloomberg1Capital One1Databricks1Google1LinkedIn1NVIDIA1Visa1

Topics

Distributed Systems 90Real-time 51Storage 43Data Pipelines 42API Design 41Databases 38Caching 37Security 32AI / ML 23Algorithms 20Scheduling 20Search 19Event Driven 14Fintech 14Payments 11Geospatial 11Analytics 11Observability 11E-commerce 11Messaging 10CDN 9Concurrency 8Ads 8Frontend 8Booking System 6Networking 5IoT 4Media 3Media Streaming 3Collaboration 3Rate Limiting 2
Netflix✕Caching✕Clear all
Ad Frequency Capping Service (Netflix Ads)
7 min readAdsReal-timeCaching
Advanced▶ Mock
Ads Audience Targeting System
5 min readAdsData PipelinesCaching
Advanced▶ Mock
Streaming Homepage Rows with Viewport Loading and Deduplication (Netflix)
4 min readFrontendAPI DesignCaching
Intermediate▶ Mock
Publisher Configuration Rules and Safe Global Rollout
5 min readAdsDistributed SystemsCaching
Intermediate▶ Mock

Frequently Asked Questions

What is Caching in system design?

Caching is a core system design topic covered in 37 case studies on InterviewSkool. It appears frequently in FAANG interviews, especially at Google, Amazon, and Meta.

How should I prepare Caching for system design interviews?

Study the case studies above, focusing on architecture trade-offs, scale estimates, and API designs. Practice explaining your decisions aloud — this is exactly what interviewers evaluate.

Practice with a Mock Interview

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