Interactive Study Module
System Design Fundamentals & Scalability
By Jeff Dean
7 min read
Verified Curriculum
Step 1: What is System Design?
Architecting Systems That Reliably Serve Millions of Users
System design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. It balances trade-offs between performance, scalability, availability, reliability, and cost.
Analogy: Building a single-family house requires basic plumbing and electricity. Building a 120-story skyscraper in Manhattan requires geotechnical earthquake dampers, redundant emergency generators, pressurized elevators, and high-capacity water pumping grids!
Step 2: Interactive Syntax Anatomy
Core Architectural Trade-Offs
ScalabilityLatency vs ThroughputCAP TheoremHigh Availability (99.99%)
- Vertical scaling (scale up) adds more CPU/RAM to a single server. It has an unavoidable physical ceiling.
- Horizontal scaling (scale out) adds more commodity servers behind a load balancer.
- Caching data in memory (Redis) reduces database load by orders of magnitude.
Try It Yourself Sandbox
Edit code & run liveCentralized Compiler Sandbox
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Click "Run Code" to compile and execute program output...
Step 4: Active Recall Knowledge Check
+25 XPAccording to the CAP Theorem, when a network partition (P) occurs in a distributed system, what must you choose between?
Step 5: Remember This! (Memory Anchors)
System Design Mental Anchors
- Rule 1: Always design for failure — assume servers, disks, and network switches will fail constantly.
- Rule 2: Don’t perform synchronous work in request handlers if it can be offloaded asynchronously to message queues.
- Rule 3: Cache aggressively: memory access is 100,000x faster than reading from SSD or disk.
⚠️ Common Pitfall / Gotcha: Cache Invalidation is one of the hardest problems in computer science: always define a sensible Time-To-Live (TTL)!
Module Progress Checkpoint
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