如何使用Java Api从Kubernetes检索pod内存和cpu使用率

<dependency>
  <groupId>io.kubernetes</groupId>
  <artifactId>client-java</artifactId>
  <version>15.0.1</version>
</dependency>

implementation 'io.kubernetes:client-java:15.0.1'

import io.kubernetes.client.openapi.ApiClient;
import io.kubernetes.client.openapi.ApiException;
import io.kubernetes.client.openapi.Configuration;
import io.kubernetes.client.openapi.apis.CoreV1Api;
import io.kubernetes.client.openapi.models.V1Pod;
import io.kubernetes.client.openapi.models.V1PodList;
import io.kubernetes.client.util.Config;

public class KubernetesPodMetrics {

    public static void main(String[] args) {
        try {
            // 加载kubeconfig文件
            ApiClient client = Config.defaultClient();
            Configuration.setDefaultApiClient(client);

            // 创建CoreV1Api实例
            CoreV1Api api = new CoreV1Api();

            // 设置命名空间
            String namespace = "default";

            // 获取Pod列表
            V1PodList podList = api.listNamespacedPod(namespace, null, null, null, null, null, null, null, null);

            // 遍历Pod列表并打印内存和CPU使用率
            for (V1Pod pod : podList.getItems()) {
                System.out.println("Pod Name: " + pod.getMetadata().getName());
                // 在这里，你需要调用监控API来获取内存和CPU使用率
                // 例如，使用Prometheus客户端库或其他监控工具
            }
        } catch (ApiException e) {
            System.err.println("Exception when calling CoreV1Api#listNamespacedPod");
            e.printStackTrace();
        }
    }
}

<dependency>
  <groupId>io.prometheus</groupId>
  <artifactId>simpleclient_httpserver</artifactId>
  <version>0.11.0</version>
</dependency>

implementation 'io.prometheus:simpleclient_httpserver:0.11.0'

import io.prometheus.client.Collector;
import io.prometheus.client.Gauge;
import io.prometheus.client.exporter.HTTPServer;

public class PrometheusMetrics {

    public static void main(String[] args) throws Exception {
        // 创建Gauge指标
        Gauge podMemoryUsage = Gauge.build()
                .name("pod_memory_usage")
                .help("Pod memory usage")
                .register();

        Gauge podCpuUsage = Gauge.build()
                .name("pod_cpu_usage")
                .help("Pod CPU usage")
                .register();

        // 启动HTTP服务器
        HTTPServer server = new HTTPServer(1234);

        // 模拟获取Pod的内存和CPU使用率
        podMemoryUsage.set(1024); // 设置内存使用率为1024 MB
        podCpuUsage.set(50); // 设置CPU使用率为50%
    }
}