According to CAP theorem, consistency, availability, and partition tolerance cannot all be satisfied simultaneously in distributed systems; we need to make trade-offs based on business scenarios.

根据CAP理论，在分布式系统中一致性、可用性和分区容错性无法同时满足，我们需要根据业务场景进行取舍。

同一单元的其他句子

• Given that the current system bottleneck lies in database I/O, we recommend adopting read-write separation and database sharding strategies to improve overall throughput.鉴于当前的系统瓶颈在于数据库I/O，我们建议采用读写分离和分库分表策略来提升整体吞吐量。
• While introducing microservices architecture has improved system scalability, it has also brought the complexity of distributed transactions and service governance.微服务架构的引入虽然提高了系统的可扩展性，但也带来了分布式事务和服务治理的复杂性。
• Chaos engineering validates system resilience and fault tolerance by proactively injecting failures, and has become an important practice for ensuring high availability.混沌工程通过主动注入故障来验证系统的弹性和容错能力，已成为保障高可用性的重要实践。
• The zero-trust security architecture requires continuous verification of all access requests, eliminating the distinction between internal and external network trust boundaries.零信任安全架构要求对所有访问请求进行持续验证，不再区分内外网信任边界。
• Balancing data consistency and performance, we ultimately chose the eventual consistency model combined with the event sourcing pattern.考虑到数据一致性和性能之间的平衡，我们最终选择了最终一致性模型配合事件溯源模式。