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Google Compute Engine

Google Compute Engine

Overview

What is Google Compute Engine?

Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 9 features
  • Security controls (44)
    7.0
    70%
  • Operating system support (44)
    6.9
    69%
  • Pre-defined machine images (43)
    5.6
    56%
  • Pre-configured templates (42)
    5.2
    52%

Reviewer Pros & Cons

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Pricing

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Preemptible Price - Predefined Memory

0.000892 / GB

Cloud
Hour

Three-year commitment price - Predefined Memory

$0.001907 / GB

Cloud
Hour

One-year commitment price - Predefined Memory

$0.002669 / GB

Cloud
Hour

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://cloud.google.com/compute/pricin…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

Google Compute Engine Load Balancing, a quick introduction

YouTube

Computing with Google Compute Engine

YouTube

RouterOS CHR deployment in Google Compute Engine (GCE) demo

YouTube

Creating Custom Images for Google Compute Engine

YouTube

Hands on with Load Balancing on Google Compute Engine

YouTube
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Features

Infrastructure-as-a-Service (IaaS)

IaaS provides the basic building blocks for an IT infrastructure like servers, storage, and networking, in an on-demand model over the Internet

6.6
Avg 8.1
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Product Details

What is Google Compute Engine?

Virtual machines for any workload

Online VMs on high-performance, reliable cloud infrastructure offered on preset or custom machine types for web servers, databases, or AI.


Includes one e2-micro VM instance, up to 30 GB storage, and up to 1 GB of outbound data transfers free per month.


Preset and custom configurations

Prebuilt samples called Jump Start Solutions can be used to deploy an application in minutes, such as a dynamic website, load-balanced VM, Java application, three-tier web app, or ecommerce web app.

Offers predefined machine types, sizes, and configurations for any workload, from large enterprise applications, to modern workloads (like containers) or AI/ML projects that require GPUs and TPUs.

For more flexibility, a custom machine type between 1 and 96 vCPUs with up to 8.0 GB of memory per core can be created. Also offers many block storage options, from flexible Persistent Disk to high performance and low-latency Local SSD.


Industry-leading reliability

Compute Engine boasts strong single instance compute availability SLA: 99.95% availability for memory-optimized VMs and 99.9% for all other VM families. Offers live migration to maintain workload continuity during planned and unplanned events. When a VM goes down, Compute Engine performs a live migration to another host in the same zone.


Automations and recommendations for resource efficiency

VMs can be added automatically to handle peak load and replace underperforming instances with managed instance groups.

Resources can be manually adjusted using historical data with rightsizing recommendations, or capacity for planned demand spikes can be guaranteed with future reservations. All of Google's latest compute instances (C3, A3, H3) run on Titanium, a system of purpose-built microcontrollers and tiered scale-out offloads to improve infrastructure performance, life cycle management, and security.


Pricing and discounting

Google offers detailed pricing guidance for any VM type or configuration, and a pricing calculator to get a personalized estimate.

To save on batch jobs and fault-tolerant workloads, Spot VMs are offered to reduce costs. Automatic discounts for sustained use are offered, or up to 70% off when signing up for committed use discounts.


Security controls and configurations

Encrypts data-in-use and while it’s being processed with Confidential VMs.

Defends against rootkits and bootkits with Shielded VMs.

Meets compliance standards for data residency, sovereignty, access, and encryption with Assured Workloads.


Google Compute Engine Features

Infrastructure-as-a-Service (IaaS) Features

  • Supported: Dynamic scaling
  • Supported: Elastic load balancing
  • Supported: Pre-configured templates
  • Supported: Pre-defined machine images
  • Supported: Operating system support
  • Supported: Security controls

Google Compute Engine Screenshots

Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.

Google Compute Engine Videos

Compute Engine in 2 minutes
What is Compute Engine?

Google Compute Engine Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.

Google Compute Engine starts at $0.

Amazon Web Services, Microsoft Azure, and Amazon S3 (Simple Storage Service) are common alternatives for Google Compute Engine.

Reviewers rate Dynamic scaling highest, with a score of 8.2.

The most common users of Google Compute Engine are from Small Businesses (1-50 employees).
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Comparisons

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Reviews and Ratings

(172)

Attribute Ratings

Reviews

(1-1 of 1)
Companies can't remove reviews or game the system. Here's why
Sazzad Hossain Sharkar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Google Compute Engine is for maintaining our organizational department wise projects such as online training applications, online student registrations, blog posts, tutorials, etc.

We need to separate our organization projects in the various department because these applications are developed for solving several problems for filtered users. Google Compute Engine is used for hosting our online students' maintenance and other related tasks.
  • Google Compute Engine gives us easy ability to maintain the servers including live statistics about what is going on.
  • Easy single click to extend server system including network changing. Easy to clone servers between multiple regions.
  • Google Compute Engine has one-click installer (pre-built) applications including Bitnami launchpad.
  • Easy to integrate with cloud storage and backup periodically source codes and database to storage facility
  • Sometimes it is hard to remember the settings menus because these are separated into various sections.
  • Inviting external users to projects or maintainers are also a little complex
  • Server images have limited facilities. I mean some of the sections are disabled and had to be re-enabled on my own. Especially for Debian or Ubuntu images.
  • SMTP service is disabled by system and needs to be configured Postfix on my own.
  • UI is little complicated.
If anyone, especially developers, whom are a newbie, they can quickly launch pre-built servers with desired applications easily. The projects come with the git repository that can rapidly be installed with a few single clicks.

If you have good experience, you can make a bridge to back up the project source codes or files to cloud storage quickly by doing some little functioning. There are manuals online for working with GCE

Non experienced Google Cloud Compute users will have some extra work when creating a new server. Must have to build it by oneself.
Infrastructure-as-a-Service (IaaS) (8)
91.25%
9.1
Service-level Agreement (SLA) uptime
100%
10.0
Dynamic scaling
80%
8.0
Elastic load balancing
80%
8.0
Pre-configured templates
100%
10.0
Monitoring tools
90%
9.0
Pre-defined machine images
100%
10.0
Operating system support
90%
9.0
Security controls
90%
9.0
  • Google Compute Engine's startup prices are quite reasonable to get started.
  • Started with $300 free credits that help to sustain the business structure.
  • Our primary servers hosted at our nearest locations that help to reduce time to load. Also getting good feedback from users server speed is overall because of closest location.
  • Digital Ocean
Pricing scale is good. Google Cloud Compute provides additional facilities free of cost (limited storage). Received one year free credits to get started. Nearest regions are available. Others amenities including free repository service available. UI is modern and fast to load. Google is the most significant company right now. So we have trust and satisfaction of use.
Amazon Elastic Compute Cloud (EC2), DigitalOcean, OpenShift
4
Student management system, live training facility, maintaining network and server infrastructure, etc.
4
Linux operating system knowledge, cloud service infrastructure experience, networking good knowledge, Git repository experience, etc.
  • Student management system
  • Online training service
  • Blog/ Tutorial submission
  • NoSQL database service
  • Storing data only
  • Cloud Storage facility
Overall services are good to go. Received good feedback from users. Have regional server locations. It has free extra service included.
  • Migration
  • Pre-built application images
  • Browser-based SSH connection facility.
  • Setup the pre-built images with my own modifications
  • Understanding monthly prices after sustained discount
Yes
It's fit very well. Although I have tested with my Android device that is showing well as expected.
Interface design is good. Have the most up-to-date applications. Third party integration is available. Have the authority to modify it myself.
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