BiteSizedChunks.comLearn one small thing at a time.

Course contentsShow

338What is a Key-Value Store?
339Key-Value Store Operations
340In-Memory vs Persistent Key-Value Stores
341Data Types and Value Complexity
342No Secondary Indexes or Query Language
343Time-to-Live and Expiration
344Performance Characteristics
345Use Cases for Key-Value Stores
346When Not to Use Key-Value Stores
347Redis Data Structures Overview
348Redis Single-Threaded Architecture
349Redis In-Memory Storage Model
350Redis Persistence: RDB Snapshots
351Redis Persistence: AOF Logs
352Redis Replication Architecture
353Redis Sentinel for High Availability
354Redis Cluster Sharding
355Redis as a Cache
356Redis as a Session Store
357Redis Pub/Sub for Real-Time Messaging
358Redis for Rate Limiting
359Redis for Leaderboards and Counting
360What Makes a Key-Value Store Distributed
361Partitioning in Distributed Key-Value Stores
362Consistent Hashing for Key-Value Stores
363Virtual Nodes and Load Distribution
364Replication in Distributed Key-Value Stores
365Tunable Consistency with Quorum Reads and Writes
366Sloppy Quorums and Hinted Handoff
367Vector Clocks and Conflict Detection
368Conflict Resolution Strategies
369Anti-Entropy and Merkle Trees
370Distributed Key-Value Store Architectures in Practice
371The Dynamo Paper: Context and Motivation
372Consistent Hashing in Dynamo
373Replication and Quorum in Dynamo
374Vector Clocks for Conflict Detection
375Sloppy Quorum and Hinted Handoff
376Anti-Entropy with Merkle Trees
377Eventual Consistency and Application Reconciliation
378Dynamo's Influence on Modern Systems

338What is a Key-Value Store?
339Key-Value Store Operations
340In-Memory vs Persistent Key-Value Stores
341Data Types and Value Complexity
342No Secondary Indexes or Query Language
343Time-to-Live and Expiration
344Performance Characteristics
345Use Cases for Key-Value Stores
346When Not to Use Key-Value Stores
347Redis Data Structures Overview
348Redis Single-Threaded Architecture
349Redis In-Memory Storage Model
350Redis Persistence: RDB Snapshots
351Redis Persistence: AOF Logs
352Redis Replication Architecture
353Redis Sentinel for High Availability
354Redis Cluster Sharding
355Redis as a Cache
356Redis as a Session Store
357Redis Pub/Sub for Real-Time Messaging
358Redis for Rate Limiting
359Redis for Leaderboards and Counting
360What Makes a Key-Value Store Distributed
361Partitioning in Distributed Key-Value Stores
362Consistent Hashing for Key-Value Stores
363Virtual Nodes and Load Distribution
364Replication in Distributed Key-Value Stores
365Tunable Consistency with Quorum Reads and Writes
366Sloppy Quorums and Hinted Handoff
367Vector Clocks and Conflict Detection
368Conflict Resolution Strategies
369Anti-Entropy and Merkle Trees
370Distributed Key-Value Store Architectures in Practice
371The Dynamo Paper: Context and Motivation
372Consistent Hashing in Dynamo
373Replication and Quorum in Dynamo
374Vector Clocks for Conflict Detection
375Sloppy Quorum and Hinted Handoff
376Anti-Entropy with Merkle Trees
377Eventual Consistency and Application Reconciliation
378Dynamo's Influence on Modern Systems

← System Design

Lesson 358 of 1,919·10. NoSQL: Key-Value StoresPro lesson

Redis for Rate Limiting

Implementing rate limiters with Redis using counters, sliding windows, and atomic operations.

This lesson is for subscribers

You've completed the free preview. Subscribe to unlock every lesson in every course.

See pricing Back to course