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Learn

Structured paths through backend engineering patterns. Pick a track and work through concepts and challenges in sequence.

Tracks
/api-resilience

API Resilience

Build servers that stay up when things go wrong — rate limiting, graceful shutdown, and retry safety.

4 challenges
/data-consistency

Data Consistency

Handle duplicate requests, coordinate concurrent access, and keep data correct under pressure.

3 challenges
/observability

Observability

Make your systems debuggable — structured logging, health checks, and dependency monitoring.

2 challenges
Concept guides

Understand the patterns before you implement them. Each concept is short, focused, and paired with practice challenges.

/resilience

Resilience & Reliability
Rate Limiting
Protecting services from excessive traffic
Graceful Shutdown
Stopping servers without dropping requests
Retry-Safe Workflows
Building multi-step operations that survive failures
Circuit Breaker
Protecting downstream calls with a state machine

/data

Data & Consistency
Idempotency
Making operations safe to retry
Request Coalescing
Preventing thundering herds with in-flight deduplication
Distributed Locking
Coordinating exclusive access across processes

/observability

Observability
Health Checks
Letting infrastructure know when your service is ready
Structured Logging
Making your systems observable and debuggable