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awesome-scalability: A Checklist, Not a Shortcut
Curated patterns for system design. Useful reference material—just don't expect it to make decisions for you.
binhnguyennus/awesome-scalability ↗This is a GitHub repo that collects proven patterns for building systems that handle real load: caching strategies, database sharding, load balancing, monitoring. Think of it as a structured reading list rather than a tutorial. You get pointers to talks, papers, and case studies from companies that've solved these problems at scale. It's organized by concept (consistency, availability, latency), so you can find what applies to your current bottleneck. The trade-off: it's a map, not a GPS. You still need to understand why Stripe uses this pattern and whether it fits your architecture. Good for: validating that your scaling approach isn't obviously broken, or finding the next thing to learn when you hit a wall.
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Scalability patterns repo: reference, not magic
awesome-scalability gathers design patterns for large systems—caching, sharding, replication, observability. Curated by community, organized by problem. Solid checklist when you're architecting; limited depth if you need implementation guides. Best used alongside hands-on projects.
awesome-scalability is a well-organized reference for system design patterns. Caching, sharding, load balancing, tracing—all mapped out. It's a checklist for validating your approach, not a playbook. Good for: finding what you don't know you need to learn yet.
If you're scaling past single-instance infrastructure, awesome-scalability is a practical bookmark. It collects patterns from companies that solved availability, consistency, and latency problems the hard way. Not a tutorial—a structured reference. Use it to stress-test your architecture decisions.
I've been designing systems at scale for years, and I keep coming back to the same problem: where do you actually *learn* this stuff? Not the theory—the patterns that work when you're building something real. Just found awesome-scalability, and it's a solid curated index of battle-tested resources on distributed systems, databases, load balancing, and reliability. No fluff, just links to papers, talks, and case studies from people who've shipped at scale. It's not a tutorial. It's a map. You still have to walk the terrain yourself. But if you're hiring for systems roles, onboarding engineers, or trying to close gaps in your own mental model, this is a fast way to point at the right rabbit holes. Useful for anyone building infrastructure or hiring people who do.
building at scale? awesome-scalability is a curated index of patterns, papers, and case studies on distributed systems, databases, reliability. not a course—a map. use it to fill gaps or point your team at the right resources. https://github.com/binhnguyennus/awesome-scalability