By Marc Cohen, Kathryin Hurley, Paul Newson

How you can run large-scale, data-intensive workloads with Compute Engine, Google’s cloud platform. Written via Google engineers, this educational walks you thru the main points of this Infrastructure as a provider by way of exhibiting you the way to increase a undertaking with it from starting to finish. You’ll research most sensible practices for utilizing Compute Engine, with a spotlight on fixing sensible problems.

With programming examples written in Python and JavaScript, you’ll additionally how one can use Compute Engine with Docker boxes and different systems, frameworks, instruments, and prone. observe how this IaaS is helping you achieve unheard of functionality and scalability with Google’s complicated garage and computing technologies.

- entry and deal with Compute Engine assets with an internet UI, command-line interface, or RESTful interface
- Configure, customise, and paintings with Linux VM instances
- discover garage innovations: continual disk, Cloud garage, Cloud SQL (MySQL within the cloud), or Cloud Datastore NoSQL service
- Use a number of inner most networks, and a number of situations on each one network
- construct, installation, and try an easy yet accomplished cloud computing software step-by-step
- Use Compute Engine with Docker, Node.js, ZeroMQ, internet Starter package, AngularJS, WebSocket, and D3.js

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Once expired, the user will have to go through steps 1–4 again. If long-term access is required without user intervention, a refresh token can also be retrieved from the Google Authorization Server. The refresh token lasts indefinitely (until revoked by the user) and can be used to programmatically request new access tokens from the Authorization Server. Notice that a client ID and secret are required for requests that your application sends to the Google Authorization Server. Let’s create a client ID and secret now, which you will use for the samples in this book.

There are many popular virtualization systems in use today. Google Compute Engine uses the Linux Kernel-based Virtual Machine (KVM) software. The KVM hypervisor runs in a standard Linux environment, which means that vir‐ tualized and nonvirtualized workloads can run side by side on the same physical hardware. This eliminates the need to manage a separate pool of resources dedicated to the Compute Engine product—the same hardware and software stack used to serve Google search, Gmail, Maps, and other Google services can also provide Com‐ pute Engine virtual machines.

Clicking any of the methods in the list displays what parameters are available for that particular action. execute() The response returned from the Compute Engine API consists of the Project JSON resource. Congratulations! You now have a working Compute Engine app. Summary In this chapter, you set up all the components required to start working with Com‐ pute Engine: you created a Compute Engine project using the Google Developers Console and enabled billing on the project. You also learned how to manage Com‐ pute Engine’s resources using the console, gcloud compute, and the API.

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