aibangjuxin / groovy

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Forward #17

Open aibangjuxin opened 1 year ago

aibangjuxin commented 1 year ago

好的,我用 Markdown 和 Mermaid 图来详细解释 GCP 中 forwarding-rule、backendservices、health-check 和 mig 之间的关系:

mermaid graph TD subgraph Forwarding Rules fr1[forwarding-rule-1] fr2[forwarding-rule-2] end

subgraph Backend Services
    bs1[backend-service-1]
    bs2[backend-service-2]
end

subgraph Health Checks
    hc1[health-check-1]
    hc2[health-check-2]
end

subgraph MIGs
    mig1[mig-1]
    mig2[mig-2]
end

fr1-->bs1
fr2-->bs2
bs1-->hc1
bs2-->hc2
bs1-->mig1
bs2-->mig2
aibangjuxin commented 1 year ago

好的,我在原有的 Mermaid 图中进一步添加 backend configuration 和 frontend configuration 的细节:

mermaid graph TD subgraph Forwarding Rules fr1[forwarding-rule-1] fr2[forwarding-rule-2] end

subgraph Backend Services
    bs1[backend-service-1]
    bs2[backend-service-2]

    subgraph Backend Config
        bc1[backends] -.-> mig1
        bc2[backends] -.-> mig2
    end

    subgraph Frontend Config
        fc1[frontend] --> fr1
        fc2[frontend] --> fr2
    end
end

subgraph Health Checks
    hc1[health-check-1]
    hc2[health-check-2]
end

subgraph MIGs
    mig1[mig-1]
    mig2[mig-2]
end

fr1-->bs1
fr2-->bs2
bs1-->hc1
bs2-->hc2
aibangjuxin commented 1 year ago

您说得对,我修改第一个图,在 backend services 内部添加 frontend 和 backend configuration:

mermaid graph TD subgraph Forwarding Rules fr1[forwarding-rule-1] fr2[forwarding-rule-2] end

subgraph Backend Services
    bs1[backend-service-1]
    bs2[backend-service-2]

    subgraph Frontend Config
        f1[frontend] --> fr1
        f2[frontend] --> fr2
    end

    subgraph Backend Config
        b1[backends] -.-> mig1
        b2[backends] -.-> mig2
    end

end

subgraph Health Checks
    hc1[health-check-1]
    hc2[health-check-2]
end

subgraph MIGs
    mig1[mig-1]
    mig2[mig-2]
end

bs1-->hc1
bs2-->hc2
b1-->mig1
b2-->mig2

这样就直接在第一个图的 backend services 内部添加了 frontend configuration 和 backend configuration,使其结构更清晰合理,请检查是否符合要求。我会注意在修改原有图结构时保持清晰连贯。

aibangjuxin commented 1 year ago

好的,我用mermaid图来详细解释GCP中forwarding-rule、backendservices、health-check和mig之间的关系:

mermaid graph LR subgraph External Traffic FR[Forwarding Rule] end FR--points to-->BS[Backend Service]

subgraph Backend Services BS--has-->HC[Health Check] BS--Backend Config points to-->M[Mig]
end

subgraph Managed Instance Groups M[Mig] end

subgraph Load Balancing BL(Internal Load Balancing) end

BS-.->BL BL-.->M

解析:

所以,Forwarding Rule接收外部请求流量,然后根据其配置指向对应的Backend Service。Backend Service通过Health Check监控后端实例健康状态,并通过其Backend配置关联到Managed Instance Group。最后通过内部负载均衡将请求分发到Mig中的健康实例。

这样 Frontend Configuration 对应 Forwarding Rule,Backend Configuration 对应 Mig。

aibangjuxin commented 1 year ago

这里是用mermaid图的形式详细解释GCP中Forwarding Rule, Backend Service和Mig之间的关系:

mermaid graph LR subgraph External User EU[(External User)] end

subgraph Forwarding Rule FR[(Forwarding Rule)] end

subgraph Backend Service BS[(Backend Service)] BS-->FES[Frontend Configuration] BS-->BEC[Backend Configuration]
end

FES-->FR BEC-->Mig

subgraph Managed Instance Group Mig[(Managed Instance Group)] end

subgraph Health Check HC[(Health Check)]---Mig end

EU-->FR FR-->BS BS-->Mig HC-->Mig

解释:

所以请求流经的路径是: External User -> Forwarding Rule -> Backend Service -> Managed Instance Group

而Managed Instance Group后端实例的健康状态由Health Check来维护。