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Redis Walkthrough in 60 seconds 🕐

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Cap-EO 👨🏾‍💻

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24,435 次观看 • 3 个月前 •via X (Twitter)

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Redis in 60 Second 👇 What is Redis ? Redis = REmote DIctionary Server An in-memory data store used mainly as: - Cache - Session store - Message broker - Real-time data store It’s insanely fast because data lives in RAM, not on disk. 🟢 Why Redis exists Typical flow without Redis: User → Application → Database - Database is slow - High traffic = high DB load - Latency increases - DB becomes a bottleneck - This doesn’t scale. 🟢 Redis comes into the picture - Redis sits between Application and Database New flow: User → Application → Redis → Database - Redis acts as a fast access layer 🟢 Complete Redis request flow 1️⃣ User sends a request 2️⃣ Application checks Redis first 3️⃣ If data exists in Redis → Cache HIT Data returned in milliseconds 4️⃣ If data not found → Cache MISS App fetches data from Database Stores it in Redis with TTL - Returns response to user - This is called Cache Aside Pattern 🟢 Where Redis is used in real systems? - Login sessions - API response caching - Rate limiting - Leaderboards - Real-time analytics - Background jobs / queues - Almost every high-traffic app uses Redis. 🟢 Redis in DevOps & System Design : As a DevOps, Redis knowledge is used in: - Application performance tuning - Scaling backend systems - Reducing DB cost - Designing high-availability systems Thanks for reading . Happy Learning !
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Redis in 60 Second 👇 What is Redis ? Redis = REmote DIctionary Server An in-memory data store used mainly as: - Cache - Session store - Message broker - Real-time data store It’s insanely fast because data lives in RAM, not on disk. 🟢 Why Redis exists Typical flow without Redis: User → Application → Database - Database is slow - High traffic = high DB load - Latency increases - DB becomes a bottleneck - This doesn’t scale. 🟢 Redis comes into the picture - Redis sits between Application and Database New flow: User → Application → Redis → Database - Redis acts as a fast access layer 🟢 Complete Redis request flow 1️⃣ User sends a request 2️⃣ Application checks Redis first 3️⃣ If data exists in Redis → Cache HIT Data returned in milliseconds 4️⃣ If data not found → Cache MISS App fetches data from Database Stores it in Redis with TTL - Returns response to user - This is called Cache Aside Pattern 🟢 Where Redis is used in real systems? - Login sessions - API response caching - Rate limiting - Leaderboards - Real-time analytics - Background jobs / queues - Almost every high-traffic app uses Redis. 🟢 Redis in DevOps & System Design : As a DevOps, Redis knowledge is used in: - Application performance tuning - Scaling backend systems - Reducing DB cost - Designing high-availability systems Thanks for reading . Happy Learning !

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