我正在尝试基于工件映像创建一个虚拟机实例，该映像在控制台中运行良好，并且通过 sdk 创建虚拟机实例也可以工作，即使附加图像也可以工作，即使这不是通过元数据的公共 api，但一旦我定义服务帐户，实例将立即创建和删除。调整后的结果一切都一样，看起来就像是成功的一样。如果没有定义服务帐户，它可以正常工作，但我需要它们来访问图像。
我没有使用 GKE，因为我不需要它周围的托管内容，并且感觉这种方式会更具成本效益，并且实例是固定的并且不需要扩展
import express, { Request, Response } from "express";
import { InstancesClient } from "@google-cloud/compute";
const app = express();
const port = process.env.PORT || 3000;
// Initialize the Google Cloud Compute client
const instancesClient = new InstancesClient({
keyFilename: "./src/service-account.json",
});
app.use(express.json());
app.post("/create-vm", async (req: Request, res: Response) => {
try {
const { name, zone, machineType, sourceImage } = req.body;
const instanceName = "dummy-service-v8";
const result = await instancesClient.insert({
project: "stellar-cumulus-******-n4",
zone: "us-central1-a",
instanceResource: {
name: instanceName,
machineType: "zones/us-central1-a/machineTypes/e2-micro",
tags: {
items: ["p3000"],
},
disks: [
{
boot: true,
autoDelete: true,
initializeParams: {
diskName: instanceName + "-disk",
diskSizeGb: 10,
diskType:
"projects/stellar-cumulus-******-n4/zones/us-central1-a/diskTypes/pd-balanced",
labels: {},
sourceImage:
"projects/cos-cloud/global/images/cos-stable-117-18613-0-79",
},
},
],
labels: {
"goog-ec-src": "vm_add-rest",
"container-vm": "cos-stable-117-18613-0-79",
},
serviceAccounts: [
{
email: "*********[email protected]",
scopes: ["https://www.googleapis.com/auth/cloud-platform"],
},
],
metadata: {
items: [
{
key: "gce-container-declaration",
value: `spec:\n containers:\n - name: ${instanceName}\n image: us-central1-docker.pkg.dev/stellar-cumulus-******-n4/dummy-service/dummy-service:v8\n stdin: false\n tty: false\n restartPolicy: Always\n# This container declaration format is not public API and may change without notice. Please\n# use gcloud command-line tool or Google Cloud Console to run Containers on Google Compute Engine.`,
},
],
},
networkInterfaces: [
{
accessConfigs: [
{
name: "External NAT",
networkTier: "PREMIUM",
},
],
stackType: "IPV4_ONLY",
subnetwork:
"projects/stellar-cumulus-******-n4/regions/us-central1/subnetworks/default",
},
],
},
});
res.json({ message: "VM created successfully", result });
} catch (error) {
console.error("Error creating VM:", error);
res.status(500).json({ error: "Failed to create VM" });
}
});
app.listen(port, () => {
console.log(`Server is running on http://localhost:${port}`);
});
你的 Node.JS 代码主要适合我。
BILLING="..."
PROJECT="..."
REGION="..."
gcloud projects create ${PROJECT}
gcloud billing projects link ${PROJECT} \
--billing-account=${BILLING}
gcloud services enable compute.googleapis.com \
--project=${PROJECT}
package.json{
"name": "79093452",
"version": "0.0.1",
"type": "commonjs",
"main": "index.js",
"dependencies": {
"@google-cloud/compute": "^4.9.0",
"express": "^4.21.2"
}
}
index.jsconst express = require("express");
const { InstancesClient } = require("@google-cloud/compute");
const app = express();
const port = process.env.PORT || 3000;
//const KEY = process.env.KEY;
const PROJECT = process.env.PROJECT;
const NUMBER = process.env.NUMBER;
const REGION = process.env.REGION;
const IMAGE = process.env.IMAGE;
// Initialize the Google Cloud Compute client
const instancesClient = new InstancesClient({
// keyFilename: KEY,
});
app.use(express.json());
app.post("/create-vm", async (req, res) => {
try {
const { name, zone, machineType, sourceImage } = req.body;
const result = await instancesClient.insert({
project: PROJECT,
zone: zone,
instanceResource: {
name: name,
machineType: `zones/${zone}/machineTypes/${machineType}`,
tags: {
items: ["p3000"],
},
disks: [
{
boot: true,
autoDelete: true,
initializeParams: {
diskName: `${name}-disk`,
diskSizeGb: 10,
diskType: `projects/${PROJECT}/zones/${zone}/diskTypes/pd-balanced`,
labels: {},
sourceImage: `projects/cos-cloud/global/images/${sourceImage}`,
},
},
],
labels: {
"goog-ec-src": "vm_add-rest",
"container-vm": sourceImage,
},
serviceAccounts: [
{
email: `${NUMBER}[email protected]`,
scopes: ["https://www.googleapis.com/auth/cloud-platform"],
},
],
metadata: {
items: [
{
key: "gce-container-declaration",
value: `spec:\n containers:\n - name: ${name}\n image: ${IMAGE}\n stdin: false\n tty: false\n restartPolicy: Always`
},
],
},
networkInterfaces: [
{
accessConfigs: [
{
name: "External NAT",
networkTier: "PREMIUM",
},
],
stackType: "IPV4_ONLY",
subnetwork: `projects/${PROJECT}/regions/${REGION}/subnetworks/default`,
},
],
},
});
res.json({ message: "VM created successfully", result });
} catch (error) {
console.error("Error creating VM:", error);
res.status(500).json({ error: "Failed to create VM" });
}
});
app.listen(port, () => {
console.log(`Server is running on http://localhost:${port}`);
});
运行：
IMAGE="gcr.io/kuar-demo/kuard-amd64:blue"
PROJECT=${PROJECT} \
NUMBER=$(\
gcloud projects describe ${PROJECT} \
--format="value(projectNumber)") \
REGION=${REGION} \
IMAGE=${IMAGE} \
node index.js
然后：
NAME="..."
ZONE="${REGION}-c"
curl \
--request POST \
--header "Content-Type: application/json" \
http://localhost:3000/create-vm \
-d "{
\"name\":\"foo\",
\"zone\":\"c\",
\"machineType\":\"e2-micro\",
\"sourceImage\":\"cos-stable-117-18613-0-79\"
}"
然后：
gcloud compute instances describe ${NAME} \
--zone=${ZONE} \
--project=${PROJECT} \
--format="value(status)"
RUNNING
并且：
COMMAND='docker container ls --format="{{.Image}}"'
gcloud compute ssh ${NAME} \
--zone=${ZONE} \
--project=${PROJECT} \
--command="${COMMAND}"
gcr.io/kuar-demo/kuard-amd64:blue