CAP Theorem in Practice
Go deep on CAP Theorem in Practice: edge cases, scalability limits, and how you'd evolve the solution over 2 years.
Answers use simple, clear English.
Quick interview answer
Under partition, choose Consistency or Availability (CP vs AP). Most systems are PA with tunable consistency.
Detailed answer
Under partition, choose Consistency or Availability (CP vs AP). Most systems are PA with tunable consistency. PACELC extends with latency trade-off. Scale limits often appear in: Oversimplified — real systems offer levels not binary.. Evolution levers: Name concrete choice per feature; mention quorum reads.. Anchor example: Bank balance during partition: CP (reject writes). Social feed likes: AP (eventual counts). Core: Under partition, choose Consistency or Availability (CP vs AP). Most systems are PA with tunable consistency. PACELC extends with latency trade-off. Real-time example: Bank balance during partition: CP (reject writes). Social feed likes: AP (eventual counts). Pros: Frames trade-offs for interviews clearly. Cons: Oversimplified — real systems offer levels not binary. Common mistakes: Claiming CA without partition definition. Best practices: Name concrete choice per feature; mention quorum reads. Audience level: Mid-level.
Full explanation
Under partition, choose Consistency or Availability (CP vs AP). Most systems are PA with tunable consistency. PACELC extends with latency trade-off.
Real example & use case
Bank balance during partition: CP (reject writes). Social feed likes: AP (eventual counts).
Pros & cons
Pros: Frames trade-offs for interviews clearly. Cons: Oversimplified — real systems offer levels not binary.
Common mistakes
Claiming CA without partition definition.
Best practices
Name concrete choice per feature; mention quorum reads.
Follow-up questions
- How would you test CAP Theorem in Practice?
- What metrics prove CAP Theorem in Practice is healthy in prod?
- How does CAP Theorem in Practice change at 10× traffic?