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* Total CPU and Memory usage for the entire cluster * Total CPU and Memory usage for kubernetes pods * Service discovery via annotations on ingress * No storage stats yet * No network stats yet
80 lines
2.3 KiB
JavaScript
80 lines
2.3 KiB
JavaScript
import { CoreV1Api, Metrics } from "@kubernetes/client-node";
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import getKubeConfig from "../../../../utils/config/kubernetes";
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import { parseCpu, parseMemory } from "../../../../utils/kubernetes/kubernetes-utils";
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export default async function handler(req, res) {
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const APP_LABEL = "app.kubernetes.io/name";
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const { service } = req.query;
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const [namespace, appName] = service;
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if (!namespace && !appName) {
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res.status(400).send({
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error: "kubernetes query parameters are required",
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});
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return;
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}
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const labelSelector = `${APP_LABEL}=${appName}`;
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try {
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const kc = getKubeConfig();
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const coreApi = kc.makeApiClient(CoreV1Api);
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const metricsApi = new Metrics(kc);
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const podsResponse = await coreApi.listNamespacedPod(namespace, null, null, null, null, labelSelector);
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const pods = podsResponse.body.items;
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if (pods.length === 0) {
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res.status(200).send({
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error: "not found",
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});
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return;
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}
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let cpuLimit = 0;
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let memLimit = 0;
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pods.forEach((pod) => {
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pod.spec.containers.forEach((container) => {
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if (container?.resources?.limits?.cpu) {
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cpuLimit += parseCpu(container?.resources?.limits?.cpu);
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}
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if (container?.resources?.limits?.memory) {
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memLimit += parseMemory(container?.resources?.limits?.memory);
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}
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});
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});
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const stats = await pods.map(async (pod) => {
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let depMem = 0;
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let depCpu = 0;
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const podMetrics = await metricsApi.getPodMetrics(namespace, pod.metadata.name);
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podMetrics.containers.forEach((container) => {
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depMem += parseMemory(container.usage.memory);
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depCpu += parseCpu(container.usage.cpu);
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});
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return {
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mem: depMem,
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cpu: depCpu
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}
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}).reduce(async (finalStats, podStatPromise) => {
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const podStats = await podStatPromise;
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return {
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mem: finalStats.mem + podStats.mem,
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cpu: finalStats.cpu + podStats.cpu
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};
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});
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stats.cpuLimit = cpuLimit;
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stats.memLimit = memLimit;
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stats.cpuUsage = stats.cpu / cpuLimit;
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stats.memUsage = stats.mem / memLimit;
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res.status(200).json({
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stats,
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});
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} catch (e) {
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console.log("error", e);
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res.status(500).send({
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error: "unknown error",
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});
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}
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}
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