System Design Cases10 lessons22 quiz questions
Design: Distributed Key-Value Store (Redis/DynamoDB)
10-session plan from basic KV operations to distributed, highly available, conflict-resolving cluster.
What You Will Learn
- ✓Core Operations & Single-Node Design
- ✓Consistent Hashing
- ✓Replication
- ✓CAP Theorem & Consistency Models
- ✓LSM-Tree Storage Engine
- ✓Gossip Protocol & Failure Detection
- ✓Conflict Resolution
- ✓Hinted Handoff & Anti-Entropy
- ✓TTL & Eviction
- ✓Mock Interview
Overview
10-session plan from basic KV operations to distributed, highly available, conflict-resolving cluster.
Design: Distributed Key-Value Store (Redis/DynamoDB): Requirements & Scope
Functional Requirements
Before designing anything, clarify what the system needs to do:
Core features — What are the must-have features?
User types — Who uses the system? End users, admins, API consumers?
Scale — How many users? What's the read/write ratio?
Non-Functional Requirements
Availability: 99.9% (8.7 hours downtime/year) or 99.99%?
Latency: < 100ms for reads? < 500ms for writes?
Consistency: Strong or eventual? CAP trade-off?
Durability: Can we lose data? How much?
Clarifying Questions to Ask
What's the expected DAU (Daily Active Users)?
What's the read-to-write ratio?
Do we need real-time updates?
What's our budget constraint?
What geography do we serve?
Interview Tip
"I always spend the first 5 minutes clarifying requirements. This shows structured thinking and prevents designing the wrong system. I explicitly separate functional from non-functional requirements."
Java Implementation
Python Implementation
Sample Quiz Questions
1. What does the CAP theorem state?
·Difficulty: easy/5
2. What is the advantage of consistent hashing over modulo hashing for data distribution?
·Difficulty: medium/5
3. For N=3 replicas, W=2 writes, R=2 reads: is strong consistency achieved?
·Difficulty: medium/5
+ 19 more questions available in the full app.
Related Topics
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