Redis (REmote DIctionary Server) is an open-source, in-memory data structure store that is primarily used as a database, cache, and message broker. It's designed for speed and is often used in web applications to optimize performance.
When a user logs in, generate a token (e.g., JWT or a session token) and store it in Redis with an expiration time.
Key: Use a unique identifier, like user:{userId}:token.
Value: Store the token string or JWT payload.
TTL (Time-to-Live): Set the expiration time for the token in Redis to align with the token’s lifetime.
Key Features of Redis
In-Memory Storage: Redis stores data in memory, allowing for very fast read and write operations.
Data Structures: It supports a wide range of data structures, including:
Strings
Lists
Sets
Sorted Sets
Hashes
Streams
Bitmaps and HyperLogLogs
Persistence: While it is in-memory, Redis can persist data on disk using snapshots (RDB) or an append-only file (AOF).
Pub/Sub Messaging: Redis supports publish/subscribe messaging patterns for inter-process communication.
Atomic Operations: Commands are atomic, ensuring data consistency.
Cluster Mode: Redis can be configured as a cluster for horizontal scaling and high availability.
Scripting: Supports scripting with Lua for complex operations.
Common Use Cases
Caching: Store frequently accessed data to reduce database load.
Session Storage: Manage user sessions in web applications.
Real-Time Analytics: Track and analyze events in real-time.
Message Queues: Use lists or streams for implementing queues.
Leaderboard/Counting Systems: Use sorted sets for ranking and counters for tracking.
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