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This lesson is tailored for absolute beginners who want a practical, step-by-step introduction to system design. Instead of treating topics in isolation, we’ll architect a single real-world application together and iteratively evolve its design. As the application grows, we’ll introduce components such as load balancers, caching, indexing, replication, and sharding exactly when the system requires them—so you always understand why a component exists and how it improves scalability, performance, or reliability.
No prior system design experience is required. Basic programming knowledge helps, and each concept is explained from first principles with real-world rationale and examples.
The image is a system design diagram for beginners, featuring components like an app, load balancer, servers, cache, database, replica, and shards, illustrating data flow and architecture.
What you’ll get from this course:
  • A working mental model for building scalable systems.
  • Hands-on labs to experiment with components and observe performance changes.
  • Clear criteria for when to add complexity (e.g., caching or sharding) versus when to keep the architecture simple.
Key topics and when they appear in the curriculum: Hands-on labs accompany each module so you can modify components (for example, add a cache or enable a replica) and measure the impact. This iterative, use-case-driven approach helps you learn not just what to add to a system, but precisely why and when it’s the right choice. Further reading and references:

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