我让DeepSeek设计云原生全流量采集分析系统

    subgraph 数据平面
        A[采集层] -->|流量元数据| B[预处理层]
        B -->|结构化数据| C[实时分析层]
        C --> D[(热存储)]
        C --> E[离线分析层]
        E --> F[(冷存储)]
    end
    
    subgraph 控制平面
        G[策略管理中心] -.-> A
        G -.-> B
        H[安全合规引擎] --> C
        I[资源调度器] --> E
    end

// 动态采样控制器示例
type AdaptiveSampler struct {
    baseRate      int
    anomalyFactor int
    currentRate   int
}

func (s *AdaptiveSampler) Adjust(metrics TrafficMetrics) {
    entropy := calculateShannonEntropy(metrics)
    if entropy > config.AnomalyThreshold {
        s.currentRate = s.baseRate * s.anomalyFactor
    } else {
        s.currentRate = s.baseRate
    }
}

class ProcessingPipeline:
    def __init__(self):
        self.stages = [
            TLSFingerprintExtractor(),  # TLS指纹提取
            ProtocolDissector(),        # 协议深度解析
            EntityCorrelator(           # 资产关联
                cmdb_endpoint="http://cmdb.prod"
            ),
            DataAnonymizer(             # 隐私数据脱敏
                rules=gdpr_rules
            ),
            ThreatDetector(             # 威胁检测
                rulesets=[suricata, yara]
            )
        ]
    
    def process(self, flow):
        for stage in self.stages:
            flow = stage.execute(flow)
            if flow.risk_score > config.block_threshold:
                trigger_mitigation(flow)
        return flow

graph TB
    subgraph RegionA
        A1[采集节点] --> B[区域汇聚]
        A2[采集节点] --> B
        B --> C[区域Kafka]
    end
    
    subgraph RegionB
        D1[采集节点] --> E[区域汇聚]
        D2[采集节点] --> E
        E --> F[区域Kafka]
    end
    
    C --> G[全局Flink集群]
    F --> G
    G --> H[(全局ES集群)]
    G --> I[(跨区Ceph)]
    
    J[控制中心] -.管理.-> A1
    J -.管理.-> D1
    K[监控平台] --> H