Types of caching: every layer from browser to database
Browser, CDN, reverse proxy, app memory, Redis and database: what each caching layer stores, who shares it, and how one results-day request moves through them.
#redis
8 articles tagged #redis
Articles
Rate limiting algorithms: token bucket vs leaky bucket
Fixed and sliding windows, token and leaky buckets compared, where to enforce limits, distributed limits with Redis, and how to protect OTP, login and test submission.
WebSocket scaling for live classes, chat and polls
How to scale WebSockets: connections per server, load balancing long-lived connections, Redis pub/sub fan-out, reconnect storms, and when SSE or polling is simpler.
Django caching: per-view, fragment and low-level caching
Pick a Django cache backend, use cache_page, template fragment caching and the low-level API safely, and invalidate with signals and versioned keys.
Redis cache: how it works, and Redis vs Memcached
Why Redis is fast, how TTLs and eviction policies work, how to size memory, when persistence matters for a cache, and how Redis compares with Memcached.
Caching strategies: cache-aside, write-through, write-back
Cache-aside, read-through, write-through and write-back compared: how each works, how each fails, and which suits course pages, progress and leaderboards.
Cache invalidation and TTLs: strategies that work
TTLs, event-based deletes and versioned keys: choosing TTLs per data type, purging CDNs, avoiding stale reads after writes, and why eviction isn't invalidation.
Cache stampede and the thundering herd problem
Why one expired key can overload your database, and how locks, request coalescing, probabilistic early refresh, TTL jitter and serving stale data prevent it.
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