CAP Theorem
Understanding the fundamental trade-offs in distributed systems design and implementation
Circuit Breaker Pattern
Understanding fault tolerance and failure handling in distributed systems
Consistent Hashing
Understanding data distribution and load balancing in distributed systems
CQRS (Command Query Responsibility Segregation)
Separating read and write operations for scalable and maintainable distributed systems
Distributed Locks
Coordinating access to shared resources across distributed systems
Event Sourcing
Storing application state as a sequence of immutable events for auditability and rebuilding state
Idempotency
Ensuring operations can be safely retried without unintended side effects
Rate Limiting
Controlling the rate of requests to protect systems from overload and ensure fair usage