Introduction
What are you going to learn in this repo?
Welcome! This repository curates real‑world, vendor‑neutral resources to help you design, build, and operate scalable systems.
What you'll learn
- Core principles behind scalable, reliable, and cost‑effective systems
- Trade‑offs in architecture decisions (latency vs. throughput, consistency vs. availability)
- Practical patterns for caching, messaging, storage, and resiliency
- How to read and reason about diagrams and production‑grade topologies
How to use this repo
- Start from the overview pages to understand the problem space and common patterns.
- Dive into topic pages (caching, queues, databases, compute, networking) for deeper explanations.
- Explore diagrams under
public/and linked in the docs to visualize reference architectures. - Follow links to external authoritative readings to broaden your understanding.
Topics roadmap
- Foundations: scalability, reliability, observability
- Data: OLTP vs. OLAP, sharding, replication, indexing
- Caching: client/server, CDN, cache invalidation, TTL strategies
- Messaging: queues, streams, exactly‑once vs. at‑least‑once semantics
- Compute: autoscaling, containers, serverless, background jobs
- Networking: load balancers, service meshes, rate limiting, backpressure
- Resilience: retries, circuit breakers, bulkheads, chaos testing
Support
If you find this helpful, please star the repository to support the project and help others discover it 🌟