And in the demos before with cloud storage, you saw how to create a bucket and upload files, so on and so forth. You can see that one is regional and one is multiregional. I've got the GCP demo bucket, I've got the My Python, Hello World, and I've got the staging area for that application as well. So you see that there are three buckets here. The first is that if you're going to monitor a resource, it's a really good idea to identify what you want to monitor. But before we go to monitoring, let's take a look at cloud storage and some areas we want to look at. But the main goal of this module is to talk about cloud storage. It looks like, on top of my head, I can't see the computer engine as well, and so on and so forth. You could also see on the monitor that I've got an API as well and am running a couple. Three buckets are there, and BigQuery as well. If I go over here to Resources, you can see that I have an app engine spun up, a compute engine, and cloud storage. I'm on the main dashboard, as you can see. I'm over here at the Google Cloud Platform console. Let's discuss monitoring your cloud storage resources. Cloud Data Storage Monitoring with Stackdriver PrepAway's ETE files povide the Professional Cloud Architect Professional Cloud Architect on Google Cloud Platform practice test questions and answers & exam dumps, study guide and training courses help you study and pass hassle-free! Managing Your Resources 7. All Google Professional Cloud Architect certification exam dumps, study guide, training courses are Prepared by industry experts.
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