![]() Your Cloud Platform project in this session is set to YOUR_PROJECT_ID The output contains a line that declares the PROJECT_ID for this session: When you are connected, you are already authenticated, and the project is set to your PROJECT_ID. Click Activate Cloud Shell at the top of the Google Cloud console.Cloud Shell provides command-line access to your Google Cloud resources. It offers a persistent 5GB home directory and runs on the Google Cloud. Note: You can view the menu with a list of Google Cloud Products and Services by clicking the Navigation menu at the top-left.Ĭloud Shell is a virtual machine that is loaded with development tools. Do not add recovery options or two-factor authentication (because this is a temporary account).Īfter a few moments, the Cloud Console opens in this tab.Note: Using your own Google Cloud account for this lab may incur extra charges. Do not use your Google Cloud Skills Boost credentials. Important: You must use the credentials from the left panel. Click Next.Ĭopy the Password from the Lab Details panel and paste it into the Welcome dialog. If necessary, copy the Username from the Lab Details panel and paste it into the Sign in dialog. Note: If you see the Choose an account dialog, click Use Another Account. Tip: Arrange the tabs in separate windows, side-by-side. ![]() The lab spins up resources, and then opens another tab that shows the Sign in page. Other information, if needed, to step through this lab.The temporary credentials that you must use for this lab.On the left is the Lab Details panel with the following: If you need to pay for the lab, a pop-up opens for you to select your payment method. How to start your lab and sign in to the Google Cloud ConsoleĬlick the Start Lab button. Note: If you already have your own personal Google Cloud account or project, do not use it for this lab to avoid extra charges to your account. Time to complete the lab-remember, once you start, you cannot pause a lab.This prevents any conflicts between your personal account and the Student account, which may cause extra charges incurred to your personal account. Note: Use an Incognito or private browser window to run this lab. Access to a standard internet browser (Chrome browser recommended).It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab. This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you. Labs are timed and you cannot pause them. Setup and requirement Before you click the Start Lab button In this lab you'll do the following to a Python app: This hands-on lab shows you how to create a small App Engine application that displays a short message. Your application runs within its own secure, reliable environment that is independent of the hardware, operating system, or physical location of the server. Integration with other Google cloud services and APIs.Īpplications run in a secure, sandboxed environment, allowing App Engine standard environment to distribute requests across multiple servers, and scaling servers to meet traffic demands.Scheduled tasks for triggering events at specified times or regular intervals.Asynchronous task queues for performing work outside the scope of a request.Persistent storage with queries, sorting, and transactions.The App Engine standard environment makes it easy to build and deploy an application that runs reliably even under heavy load and with large amounts of data. For many applications, the standard environment runtimes and libraries might be all you need. Each runtime also includes libraries that support App Engine Standard APIs. Containers are preconfigured with one of several available runtimes (Java 7, Java 8, Python 2.7, Go and PHP). The App Engine standard environment is based on container instances running on Google's infrastructure. App Engine allows developers to focus on doing what they do best, writing code.
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