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 with 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. User authentication: Cloud Identity Platform, Firebase Auth, Google Identity ServicesĪpplications run in a secure, sandboxed environment, allowing App Engine standard environment to distribute requests across multiple servers, and scaling servers to meet traffic demands.Task execution: Cloud Tasks, Cloud Pub/Sub, Cloud Scheduler, Cloud Workflows.Caching: Cloud Memorystore (Redis or memcached).File/object storage: Cloud Storage, Cloud Filestore, Google Drive.Relational database: Cloud SQL or Cloud AlloyDB, Cloud Spanner.NoSQL database: Cloud Datastore, Cloud Firestore, Cloud BigTable.(Cloud Functions and Cloud Run do the same.)Īpp Engine apps can access numerous additional Cloud or other Google services for use in their applications: App Engine makes it easy to build and deploy an application that runs reliably even under heavy load and with large amounts of data. In this lab, you'll learn how to deploy a basic app to App Engine, but we invite you to also explore Cloud Functions and Cloud Run. Cloud Run, the serverless container-hosting service similar to App Engine but more accurately reflects the state of software development today.Cloud Functions, great for situations where you don't have an entire app, have broken up a larger, monolithic app into multiple microservices, or have short event-driven tasks that execute based on user activity.The App Engine flexible environment provides even more flexibility by supporting custom runtimes, however it is out-of-scope for this lab.Īpp Engine is Google Cloud's original serverless runtime, and since its original launch in 2008, has been joined by: The App Engine standard environment provides application-hosting services supporting the following languages: Python, Java, PHP, Go, Node.js, and Ruby). Developers only need to focus on building solutions for their organizations or their users. Developers don't have to worry about operating systems, web servers, logging, monitoring, load-balancing, system administration, or scaling, as App Engine takes care of all that. The notion of servers, virtual machines, and instances have been abstracted away, with App Engine providing all the compute necessary. Developers upload their apps to App Engine, and Google Cloud takes care of the rest. App Engine allows developers to focus on doing what they do best, writing code, and not what it runs on.
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