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Caching

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Intermediate~6.5 hours

From fundamentals to production — caching strategies, eviction policies, invalidation, Redis, CDN caching, and multi-level architectures. Practical patterns and a guided final project you build in your own stack (no bundled starter repo).

Articles

In-memory caching is an essential component of high-throughput web architectures, reducing database read load and accelerating API response times. When selectin

Aug 1, 20265 min read
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LLM caching sounds simple until the cached answer crosses a tenant boundary, repeats stale product policy, or hides a model regression. The hard part is not sto

Jul 28, 20268 min read
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A URL shortener's redirect endpoint, GET /r/{code}, looks purely read-heavy — billions of redirects against a handful of short codes created per second. But eve

Jul 17, 20267 min read
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A 4-node session cache scales to 5 nodes to handle more traffic. With hash(key) % N, that single node addition changes almost every key's target node, and the c

Jul 17, 20267 min read
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A shopping cart must remember items, so the product cannot be literally stateless. The useful design question is where that state lives. Keep the cart inside on

Jul 17, 20268 min read
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A dashboard can look “fast” while users still wait, and a load test can report huge requests-per-second while p99 checkout times explode. Latency is how long on

Jul 17, 20267 min read
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Checkout slows while product pages remain healthy. CPU is moderate, but the orders table shows rising lock waits and writes queue behind one hot index. Adding a

Jul 16, 20265 min read
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A product page feels instant on the second visit because some layer reused work from the first. The useful beginner question is not “should we add Redis?” but “

Jul 16, 20265 min read
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A Redis GET can be constant-time and still miss its latency target when a large Lua script is ahead of it, the client opens a new TLS connection, or the value t

Jul 5, 20267 min read
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A product page is easy to cache until a price changes: the CDN still has the old response, one app instance has an older in-process value, and Redis has already

Jul 4, 20268 min read
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A product page's cache key expires at 2:00:00pm. In the same instant, 5,000 concurrent requests check the cache, all get a miss, and all 5,000 independently que

Jul 21, 20267 min read
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Primary relational databases (like PostgreSQL or MySQL) execute disk I/O and query compilation for every read query. As application concurrency grows to thousan

Aug 3, 20269 min read
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As web applications scale to hundreds of thousands of active users, querying relational databases for every page view creates severe I/O bottlenecks and high da

Aug 5, 20263 min read
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A Redis SET key value NX EX 5 lock stops a cache stampede in theory, but two implementation details separate a lock that actually works under concurrent load fr

Aug 3, 20269 min read
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