对失败设计，沉淀了非常多的经验。 全局高可用 Nacos 部署架构上是单 Region 封闭，Region 间独立，跨 Region 通过网关或者 Nacos-sync 完 成服务互通。从而降低 Region 间网络故障风险。 当然用户也可以跨 Region 组 Nacos 集群，但是这样会带来服务跨 Region 互调，真正发生网络 故障的时候，无法控制业务影响。 因此不推荐此模式。 101 101 > Nacos 架构 同城容灾 Nacos 本身是采用 AP 的⼀致性模式，同 Region 多个可用区部署，任何⼀个可用区出问题，剩下 部分继续工作。 很多人问为什么不是三个可用区呢？ 因为业务都部署三个可用区从理论上是可用性最好的，但是成 本会大幅增加，因此⼀般公司只选择两个可用区。 数据多级容灾 Nacos 持久化存储做了主备容灾，而且底层存储数据多副本高可用保障。 Nacos CMDB 打通做 封网 APP（程序和 负责人） 子账号（程序账号和人账号） Dauth 应用账 号 普通账号+角色 环境 namespace 同左 同左 资源 acs:config:region:namespace:group 同左 同左 方案 Nacos 资源模型 105 > Nacos 架构 Nacos 授权 resource namespace+group+dataId

advantage of queue federation is that it does not require clustering so is suitable for over WAN, cross-region, on-off prem. Figure 2. Queue Federation For further details please goto Queue Federation. Federation around in order to perform load balancing. Supporting multi region or venue In a multi region setup you may have producers in one region or venue and the consumer in another. typically you want producers producers and consumer to keep their connections local to the region, in such as case you can deploy brokers in each region where producers and consumer are, and use federation to move messages over the

generally used for dimensional drill-down on the operating environment, such as host, instance, region, stack, and others. Common tags are applied to all observations as low cardinality tags and can key-values.region=us-east-1 management.observations.key-values.stack=prod Yaml management: observations: key-values: region: "us-east-1" stack: "prod" The preceding example adds region and metricsCommonTags() { return (registry) -> registry.config().commonTags("region", "us-east-1"); } } 515 Kotlin import io.micrometer.core.instrument.MeterRegistry import

generally used for dimensional drill-down on the operating environment, such as host, instance, region, stack, and others. Common tags are applied to all observations as low cardinality tags and can key-values.region=us-east-1 management.observations.key-values.stack=prod Yaml management: observations: key-values: region: "us-east-1" stack: "prod" The preceding example adds region and metricsCommonTags() { return (registry) -> registry.config().commonTags("region", "us-east-1"); } } 515 Kotlin import io.micrometer.core.instrument.MeterRegistry import

generally used for dimensional drill-down on the operating environment, such as host, instance, region, stack, and others. Common tags are applied to all observations as low cardinality tags and can key-values.region=us-east-1 management.observations.key-values.stack=prod Yaml management: observations: key-values: region: "us-east-1" stack: "prod" The preceding example adds region and metricsCommonTags() { return (registry) -> registry.config().commonTags("region", "us-east-1"); } } 513 Kotlin import io.micrometer.core.instrument.MeterRegistry import

generally used for dimensional drill-down on the operating environment, such as host, instance, region, stack, and others. Common tags are applied to all observations as low cardinality tags and can key-values.region=us-east-1 management.observations.key-values.stack=prod Yaml management: observations: key-values: region: "us-east-1" stack: "prod" The preceding example adds region and metricsCommonTags() { return (registry) -> registry.config().commonTags("region", "us-east-1"); } } 515 Kotlin import io.micrometer.core.instrument.MeterRegistry import

generally used for dimensional drill-down on the operating environment, such as host, instance, region, stack, and others. Common tags are applied to all observations as low cardinality tags and can key-values.region=us-east-1 management.observations.key-values.stack=prod Yaml management: observations: key-values: region: "us-east-1" stack: "prod" The preceding example adds region and metricsCommonTags() { return (registry) -> registry.config().commonTags("region", "us-east-1"); } } 513 Kotlin import io.micrometer.core.instrument.MeterRegistry import

generally used for dimensional drill-down on the operating environment, such as host, instance, region, stack, and others. Common tags are applied to all observations as low cardinality tags and can key-values.region=us-east-1 management.observations.key-values.stack=prod Yaml management: observations: key-values: region: "us-east-1" stack: "prod" The preceding example adds region and metricsCommonTags() { return (registry) -> registry.config().commonTags("region", "us-east-1"); } } 515 Kotlin import io.micrometer.core.instrument.MeterRegistry import

generally used for dimensional drill-down on the operating environment, such as host, instance, region, stack, and others. Common tags are applied to all observations as low cardinality tags and can key-values.region=us-east-1 management.observations.key-values.stack=prod Yaml management: observations: key-values: region: "us-east-1" stack: "prod" The preceding example adds region and metricsCommonTags() { return (registry) -> registry.config().commonTags("region", "us-east-1"); } } 515 Kotlin import io.micrometer.core.instrument.MeterRegistry import