Patterns
Scaling Reads
Learn about how to scale reads in your system design interview.
The Problem
Problem Breakdowns with Scaling Reads Pattern
The Solution
- Optimize read performance within your database
- Scale your database horizontally
- Add external caching layers
Optimize Within Your Database
Indexing
Hardware Upgrades
Denormalization Strategies
Scale Your Database Horizontally
Read Replicas
Database Sharding
Add External Caching Layers
Application-Level Caching
CDN and Edge Caching
When to Use in Interviews
Common Interview Scenarios
When NOT to Use
Common Deep Dives
"What happens when your queries start taking longer as your dataset grows?"
"How do you handle millions of concurrent reads for the same cached data?"
"What happens when multiple requests try to rebuild an expired cache entry simultaneously?"
"How do you handle cache invalidation when data updates need to be immediately visible?"
Conclusion
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On This Page
The Problem
The Solution
Optimize Within Your Database
Scale Your Database Horizontally
Add External Caching Layers
When to Use in Interviews
Common Interview Scenarios
When NOT to Use
Common Deep Dives
"What happens when your queries start taking longer as your dataset grows?"
"How do you handle millions of concurrent reads for the same cached data?"
"What happens when multiple requests try to rebuild an expired cache entry simultaneously?"
"How do you handle cache invalidation when data updates need to be immediately visible?"
Conclusion
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