designing-distributed-systems

SKILL.md

Design scalable, reliable, and fault-tolerant distributed systems using proven patterns and consistency models.

Distributed systems are the foundation of modern cloud-native applications. Understanding fundamental trade-offs (CAP theorem, PACELC), consistency models, replication patterns, and resilience strategies is essential for building systems that scale globally while maintaining correctness and availability.

CAP Theorem: In a distributed system experiencing a network partition, choose between Consistency (C) or Availability (A). Partition tolerance (P) is mandatory.

Al diseñar sistemas distribuidos para lograr escalabilidad, confiabilidad y coherencia. Cubre teoremas CAP/PACELC, modelos de consistencia (fuerte, eventual, causal), patrones de replicación (líder-seguidor, multilíder, sin líder), estrategias de partición (hash, rango, geográfica), patrones de transacción (saga, abastecimiento de eventos, CQRS), patrones de resiliencia (disyuntor, mamparo), descubrimiento de servicios y estrategias de almacenamiento en caché para construir arquitecturas distribuidas tolerantes a fallas. Fuente: ancoleman/ai-design-components.

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