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Awesome Scalability: A Patterns Catalog for Systems That Don't Fall Over
GitHub repo that maps proven architectural decisions for high-traffic systems. Useful as a reference when your infrastructure starts breaking at scale.
binhnguyennus/awesome-scalability ↗When your app goes from 100 users to 100,000, the problems change. Database queries get slow. Servers run out of memory. Your deploy pipeline becomes a bottleneck. This repo collects the patterns teams have actually used to solve those problems—load balancing strategies, caching layers, database sharding approaches, monitoring setups. It's organized by problem type, not theory. You won't find runnable code here, but you'll find the mental model you need before talking to your engineer or diving into implementation. Think of it as a checklist of "oh, we should probably handle that" before your system melts down.
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Reference: 50+ patterns for systems that scale without breaking
**Awesome Scalability** is a curated list of architectural patterns for high-traffic systems. Load balancing, caching, database sharding, monitoring—organized by problem. Not a cookbook, but a solid reference when your infrastructure starts creaking. Useful for CTOs planning infrastructure or builders understanding where scaling gets tricky.
scaling a system past your first million requests? this repo maps the patterns that actually work—caching strategies, db sharding, load balancing, monitoring setups. not novel, but well-organized. useful reference before things break. https://github.com/binhnguyennus/awesome-scalability
When your app scales, the problems shift from "does it work" to "does it work *fast* and *reliably*?" Awesome Scalability is a curated reference of patterns teams use to handle load, latency, and failure. Not a replacement for a good infrastructure engineer, but a solid checklist for CTOs and product builders. Worth bookmarking.
Just bookmarked awesome-scalability and realized I've been solving problems the hard way. This is a curated index of patterns from the systems that actually work at scale—load balancing, caching strategies, database sharding, the whole stack. Not a tutorial; more like a map of where other builders went when their systems broke. I'm using it as a reference layer before I architect the next thing. If you're scaling beyond single-digit RPS, you probably want this saved.
awesome-scalability is basically a glossary of 'oh, *that's* what Twitter/Netflix/Uber did when they hit the wall.' Load balancing, replication, sharding, caching—all the patterns that keep large systems standing. Not novel, but organized. Saved.