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Requirements & Capacity

functional requirements non-functional requirements traffic estimation storage estimation bandwidth estimation latency budget availability target read/write ratio

Scaling & Distribution

vertical scaling horizontal scaling load balancing consistent hashing stateless services service discovery partitioning/sharding replication

Caching & Data

cache-aside write-through cache write-back cache cache invalidation database indexing read replicas CQRS event sourcing

Messaging & Async

message queue publish-subscribe dead-letter queue retry with backoff idempotent consumer outbox pattern stream processing saga orchestration

Reliability

health checks circuit breaker bulkhead isolation timeouts rate limiting graceful degradation multi-region failover disaster recovery RPO/RTO

Interfaces & Observability

API gateway service-to-service authentication distributed tracing structured logging metrics and SLOs correlation IDs backpressure schema evolution

System Design / Scaling & Distribution

consistent hashing

Learn consistent hashing in System Design with a dedicated explanation, a concept-specific example, practical cautions, and a mastery check.

12 min read • Beginner

system-design-012.yaml

yaml

ring:
  virtual_nodes_per_server: 128
  servers: [cache-a, cache-b, cache-c]
key: user:4821
routing: consistent_hash

What to watch

Content source & attribution

Original Syntaxis Content · Original Syntaxis Content

Lesson quizzes

consistent hashing Mastery Check →

stateless services