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menu_book Course Curriculum (System Design) expand_more

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 / Messaging & Async

retry with backoff

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

12 min read • Intermediate

system-design-028.yaml

yaml

retry_policy:
  attempts: 4
  delays_ms: [100, 300, 900, 2700]
  retry_on: [timeout, 503]
  never_retry: [400, 401, 403]

What to watch

Content source & attribution

Original Syntaxis Content · Original Syntaxis Content

Lesson quizzes

retry with backoff Mastery Check →

dead-letter queue

idempotent consumer