Compute Engine is a computing and hosting service that lets you create and run virtual machines on Google infrastructure. Compute Engine offers scale, performance, and value that lets you easily launch large compute clusters on Google's infrastructure. There are no upfront investments, and you can run thousands of virtual CPUs on a system that offers quick, consistent performance. Learn more

Guides

Reference

Resources

Training and tutorials

Try Compute Engine tutorials, training courses, Codelabs, and Qwiklabs from Google Cloud.

Qwiklabs

VM Migration hands on lab

Get hands-on practice with Google's current solution set for VM assessment, planning, migration, and modernization.

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Codelab

Google Cloud networking 101

Set up a load balanced application on Google Cloud.

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Tutorial

Interactive walkthrough tutorial in the Console

Walk through the Compute Engine quickstart directly in the Cloud Console.

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Qwiklabs

Hands on lab for hosting a web app on Compute Engine

Learn how to deploy and scale a sample application.

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Qwiklabs

Architecting with Google Compute Engine

Get familiar with infrastructure components including networks, security, quotas and billing, and resource monitoring.

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Use cases

Explore use cases, reference architectures, whitepapers, best practices, and industry solutions.

Use case

VM migration

Migrate for Compute Engine (formerly Velostrata) allows you to easily migrate VMs from your on-premises data center, AWS, or Azure into Compute Engine. You validate, run, and migrate applications into Google Cloud without rewriting them, modifying the image, or changing management processes.

Migration On-Prem Automation

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Best practice

Build scalable and resilient apps

Learn patterns and practices for creating apps that are resilient and scalable, two essential goals of many modern architecture exercises. A well-designed app scales up and down as demand increases and decreases, and is resilient enough to withstand service disruptions.

Scaling Resilience Design

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Best practice

Migrate IBM dB2 to Compute Engine

Learn best practices for a homogeneous Db2 migration to Compute Engine. This document is intended for database admins, system admins and software, database, and ops engineers who are migrating Db2 environments to Google Cloud.

IBM dB2 Migration

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Use case

Automated Network Deployment: Building a VPN Between GCP and AWS with Terraform

Use Terraform by HashiCorp to create secure, private, site-to-site connections between Google Cloud Platform (GCP) and Amazon Web Services (AWS) using virtual private networks (VPNs).

Terraform Automation Networking

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Code samples

Dive into coding with examples that demonstrate how to use and connect Google Cloud services.

github

Python API samples

Create a VM instance with Python.

Open GitHub  

github

Node.js API samples

A set of Node.js samples for basic Compute Engine operations.

Open GitHub  

google cloud

.NET HelloWorld

Get started with .NET on Compute Engine by deploying a simple .NET web app.

Get started  

github

Google Cloud Java client examples

Samples that use the idiomatic client for Google Cloud, including for Compute Engine

Open GitHub  

Videos

Try Compute Engine for yourself

Create an account to evaluate how our products perform in real-world scenarios.
New customers also get $300 in free credits to run, test, and deploy workloads.

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