Practice designing scalable distributed systems with AI. Learn to handle trade-offs, discuss architecture, and prepare for senior engineer interviews at FAANG.
Integrates with the tools you already use
Design
Millions of users
Discussion
CAP theorem
Questions
FAANG-style
Feedback
Instant analysis
Common interview questions covered
Design bit.ly with high availability
Social media at scale
Real-time messaging
Video streaming platform
API throttling system
Redis-like system
Key system design concepts
Handle millions of users
SQL, NoSQL, sharding
Distribute traffic
Redis, Memcached
Service architecture
AWS, GCP patterns
REST, GraphQL, gRPC
CAP theorem
Interactive system design preparation
Follow-up Questions
Probing your design
Challenge Assumptions
Like real interviews
Trade-off Discussions
Explore alternatives
Deep Dives
Component details
Framework Practice
Step-by-step approach
Time Management
45-60 min sessions
Communication
Explain clearly
Whiteboard Skills
Visual thinking
Practice this structured approach
Ask about functional and non-functional requirements. Understand scale, latency, and consistency needs.
Calculate traffic, storage, and bandwidth needs. Establish scale parameters.
Draw the main components: clients, servers, databases, caches, load balancers.
Detail critical components. Discuss data models, API design, and algorithms.
Identify potential issues and discuss how to address them. Explain design decisions.
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