Deep dive - Redis: Why In-Memory Key-Value Stores are Essential for Low-Latency Systems
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Himangshu on Instagram: "Redis is more than just cashing...... ⚡ How does Redis work internally? 🧠 In-Memory Data Store Redis stores data in RAM, not disk → extremely fast reads & writes. 🗂️ Key–Value Based Data is stored as keys mapped to data structures like strings, lists, sets, hashes. 🧵 Single-Threaded Core One command at a time → no locking, predictable latency. ⚡ Event-Driven (I/O Multiplexing) Uses epoll/select → handles thousands of connections efficiently. 💾 Persistence Options RDB
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Himangshu on Instagram: "Redis is more than just cashing...... ⚡ How …
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Shirishti Jain on Instagram: "1. What is Redis? Redis is an in-memory key-value data store. Unlike traditional databases that store data on disk, Redis keeps everything primarily in RAM — that’s why it’s extremely fast (microseconds latency). ⸻ 2. How Redis Stores Data Internally Redis uses: 🔹 Hash Table (Dictionary) At the core, Redis uses a hash table to store keys. Because of hashing: • Lookup → O(1) • Insert → O(1) • Delete → O(1) That’s the main reason for high speed. 3. Data Structures Us
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Shirishti Jain on Instagram: "1. What is Redis? Redis is an in-memory k…
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Ajay (Code | Fitness l Lifestyle) on Instagram: "Redis: The secret behind fast apps 🚀 1. In-Memory Speed Redis stores data in RAM, so reading/writing becomes extremely fast. This helps your APIs respond in milliseconds. 2. Caching Power It saves frequently used data temporarily. This reduces database hits and boosts overall performance. 3. Key–Value Store Redis stores data in a simple key → value structure. This makes data retrieval ultra-quick and lightweight. . . . . #redis #cache #microservi
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