Most applications become slow because they repeatedly fetch the same data from the database.
Thatβs where Redis helps.
Redis stores frequently used data directly in memory (RAM), making data access extremely fast compared to traditional database queries.
Basic flow:
1οΈβ£ User requests data
2οΈβ£ Backend checks Redis first
3οΈβ£ If data exists β instant response β‘
4οΈβ£ If not β fetch from DB, store in Redis, then return
This approach is called Caching.
Common Redis use cases:
β
API caching
β
Session storage
β
Notifications
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Rate limiting
β
Real-time chat
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Analytics
β
Queue systems
Large platforms like LinkedIn use systems like Redis to handle massive traffic efficiently.
Simple analogy: Database = Library π
Redis = Notes on your desk π
You donβt go to the library every time for frequently used information.
I also wrote a beginner-friendly tutorial explaining Redis concepts and use cases:
π Read Tutorial : https://techielearn.com/tutorials/redis
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