GCP cloud function to suspend and resume the GCP instances - google-cloud-platform

Question

We can use GCP cloud functions to start and stop the GCP instances but I need to work on scheduled suspend and resume of GCP instances using cloud function and scheduler.
From GCP documentation, I got that we can do start and stop using cloud functions available below
https://github.com/GoogleCloudPlatform/nodejs-docs-samples/tree/master/functions/scheduleinstance
Do we have same node JS or other language Pcgks available to suspend and resume GCP instances?
If not can we create our own for suspend/resume.
When I tried one I got below error
"TypeError: compute.zone(...).vm(...).resume is not a function
Edit, thanks Chris and Guillaume, after going through you links i have edited my code and below is my index.js file now.
For some reason when I do
gcloud functions deploy resumeInstancePubSub --trigger-topic resume-instance --runtime nodejs10 --allow-unauthenticated
i always get
Function 'resumeInstancePubSub1' is not defined in the provided module.
resumeInstancePubSub1 2020-09-04 10:57:00.333 Did you specify the correct target function to execute?
i have not worked on Node JS Or JS before, I was expecting something similar to start/stop documentation which I could make work easily using below git repo
https://github.com/GoogleCloudPlatform/nodejs-docs-samples.git
My index.js file,
// BEFORE RUNNING:
// ---------------
// 1. If not already done, enable the Compute Engine API
// and check the quota for your project at
// https://console.developers.google.com/apis/api/compute
// 2. This sample uses Application Default Credentials for authentication.
// If not already done, install the gcloud CLI from
// https://cloud.google.com/sdk and run
// `gcloud beta auth application-default login`.
// For more information, see
// https://developers.google.com/identity/protocols/application-default-credentials
// 3. Install the Node.js client library by running
// `npm install googleapis --save`
const {google} = require('googleapis');
var compute = google.compute('beta');
authorize(function(authClient) {
var request = {
// Project ID for this request.
project: 'my-project', // TODO: Update placeholder value.
// The name of the zone for this request.
zone: 'my-zone', // TODO: Update placeholder value.
// Name of the instance resource to resume.
instance: 'my-instance', // TODO: Update placeholder value.
resource: {
// TODO: Add desired properties to the request body.
},
auth: authClient,
};
exports.resumeInstancePubSub = async (event, context, callback) => {
try {
const payload = _validatePayload(
JSON.parse(Buffer.from(event.data, 'base64').toString())
);
const options = {filter: `labels.${payload.label}`};
const [vms] = await compute.getVMs(options);
await Promise.all(
vms.map(async (instance) => {
if (payload.zone === instance.zone.id) {
const [operation] = await compute
.zone(payload.zone)
.vm(instance.name)
.resume();
// Operation pending
return operation.promise();
}
})
);
// Operation complete. Instance successfully started.
const message = `Successfully started instance(s)`;
console.log(message);
callback(null, message);
} catch (err) {
console.log(err);
callback(err);
}
};
compute.instances.resume(request, function(err, response) {
if (err) {
console.error(err);
return;
}
// TODO: Change code below to process the `response` object:
console.log(JSON.stringify(response, null, 2));
});
});
function authorize(callback) {
google.auth.getClient({
scopes: ['https://www.googleapis.com/auth/cloud-platform']
}).then(client => {
callback(client);
}).catch(err => {
console.error('authentication failed: ', err);
});
}

Answer 1

Here and here is the documetation for the new beta verison of the api. You can see that you can suspend an instance like:
compute.instances.suspend(request, function(err, response) {
if (err) {
console.error(err);
return;
}
And you can resume a instance in a similar way:
compute.instances.resume(request, function(err, response) {
if (err) {
console.error(err);
return;
}

Answer 2

GCP recently added "create schedule" feature to start and stop the VM instances based on the configured schedule.
More details can be found at
https://cloud.google.com/compute/docs/instances/schedule-instance-start-stop#managing_instance_schedules