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Topic · 39 articles

Redis

Caching, data structures, and Redis as infrastructure.

Redis is far more than a cache, and this hub treats it that way. It works through the core data structures, the caching patterns and their failure modes — cache-aside, write-through, stampede protection — and the infrastructure uses like locks, rate limiting, pub/sub, and leaderboards, then what it takes to run Redis reliably.

It is anchored by the Redis Masterclass series and pairs with the Databases and System Design hubs.

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Series · 15 parts

Redis Masterclass

A practical path through Redis: the core data structures, caching patterns, and the infrastructure uses (pub/sub, streams, locks, rate limiting, leaderboards), then running Redis in production with replication, Sentinel, Cluster, and monitoring.

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All Redis articles

Redis Caching Best Practices and Pitfalls — Aman Kumar Singh
Preventing Cache Stampede with Redis — Aman Kumar Singh
Cache Invalidation Strategies with Redis — Aman Kumar Singh
Refresh-Ahead Caching with Redis — Aman Kumar Singh
Write-Behind (Write-Back) Caching with Redis — Aman Kumar Singh
Read-Through and Write-Through Caching with Redis — Aman Kumar Singh
The Cache-Aside Pattern with Redis — Aman Kumar Singh
Redis Key Expiration, TTL, and Eviction Policies — Aman Kumar Singh
Redis Sorted Sets and Ranked Data — Aman Kumar Singh
Redis Sets and Set Operations — Aman Kumar Singh
Redis Lists and Simple Queues — Aman Kumar Singh
Redis Hashes: Storing Objects — Aman Kumar Singh
Redis Strings, Counters, and Atomic Operations — Aman Kumar Singh
Redis Data Structures: An Overview — Aman Kumar Singh
What Redis Is and When to Use It — Aman Kumar Singh
Microservices with NestJS — Aman Kumar Singh
Event-Driven Architecture — Aman Kumar Singh
Rate Limiting and Throttling — Aman Kumar Singh
Sending Emails from NestJS — Aman Kumar Singh
Server-Sent Events — Aman Kumar Singh
WebSockets and Gateways — Aman Kumar Singh
Scheduling and Cron Tasks — Aman Kumar Singh
Background Jobs with BullMQ — Aman Kumar Singh
Caching with Redis in NestJS — Aman Kumar Singh
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Role and Permission Authorization — Aman Kumar Singh
Interceptors Explained — Aman Kumar Singh
Rendering Strategies: SSR, SSG, and ISR — Aman Kumar Singh
Caching and Revalidation in Next.js — Aman Kumar Singh
Performance Tuning Before Launch — Aman Kumar Singh
Caching Strategies for a SaaS — Aman Kumar Singh
Disaster Recovery and Backups — Aman Kumar Singh
Scaling a SaaS Beyond One Server — Aman Kumar Singh
Feature Flags and Safe Rollouts — Aman Kumar Singh
Subscription Billing and Plans — Aman Kumar Singh
Product Analytics and Event Tracking — Aman Kumar Singh
Designing the SaaS Dashboard — Aman Kumar Singh
Building a Notification System — Aman Kumar Singh
Session Management and Token Storage — Aman Kumar Singh
Role-Based Access Control (RBAC) in a SaaS — Aman Kumar Singh

Frequently asked questions

Is Redis only covered as a cache here?

No. Caching patterns are a big part of it, but the hub also covers Redis data structures, distributed locks, rate limiting, pub/sub, streams, and running Redis in production with replication and monitoring.

Related topics

DatabasesSystem DesignNode.js