While Google Cloud and Kubernetes can be operated remotely from your laptop, in this codelab we will be using Google Cloud Shell, a command line environment running in the Cloud. It will be referred to later in this codelab as PROJECT_ID. Note the project ID you were assigned ( " codelab-test003" in the screenshot above). Here's what you should see once logged in : Once you have received a temporary username / password to login from the instructor, log into Google Cloud Console. Note that all these accounts will be disabled soon after the codelab is over. The instructor will be sharing with you temporary accounts with existing projects that are already setup so you do not need to worry about enabling billing or any cost associated with running this codelab. How will you use use this tutorial? Read it through only Read it and complete the exercises How would you rate your experience with building HTML/CSS web apps? Novice Intermediate Proficient How would you rate your experience with using Google Cloud Platform services? Novice Intermediate Proficient Codelab-at-a-conference setup Familiarity with standard Linux text editors such as Vim, EMACs or Nano.How to update the code without taking the server down.How to create a simple Python server on Google App Engine.This tutorial is adapted from What you'll learn You will learn how to use Cloud Shell and the Cloud SDK gcloud command. In this codelab, you will learn how to to connect to computing resources hosted on Google Cloud Platform via the web. Read The App Engine Environments for more information. The two environments give users maximum flexibility in how their application behaves since each environment has certain strengths. Load balancing, microservices, authorization, SQL and noSQL databases, memcache, traffic splitting, logging, search, versioning, roll out and roll backs, and security scanning are all supported natively and are highly customizable.Īpp Engine's environments, the Standard Environment and the Flexible environment, support a host of programming languages, including Java, Python, PHP, NodeJS, Go, etc. You simply upload your application and it's ready to go.Īpp Engine applications automatically scale based on incoming traffic. With App Engine, there are no servers to maintain. Google App Engine applications are easy to create, easy to maintain, and easy to scale as your traffic and data storage needs change. You might want to check out the Python 3 version instead: Getting Started with App Engine (Python 3). Getting Started with App Engine (Python 2)
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