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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 (42)
    7.0
    70%
  • Operating system support (42)
    6.9
    69%
  • Pre-defined machine images (41)
    5.6
    56%
  • Pre-configured templates (40)
    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

Starting price (does not include set up fee)

  • $0 GB
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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?

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.

Predefined Machine Types
Virtual machine configurations for micro instances to instances with up to 160 vCPUs and 3.75 TB of memory

Custom Machine Types
Or create and customized, virtual machines with the shape (i.e. vCPU and memory) needed for each project

Persistent Disks
Network storage, up to 64 TB in size, can be attached to VMs as persistent disks. Create persistent disks in HDD or SSD formats. If a VM instance is terminated, its persistent disk retains data and can be attached to another instance. Take snapshots create new persistent disks from that snapshot.

Local SSD
Always-encrypted local solid-state drive (SSD) block storage. Local SSDs are physically attached to the server hosting the virtual machine instance. Local SSD sizes up to 3 TB are available for any VM with at least 1 vCPU.

Global Load Balancing
Distributes incoming requests across pools of instances across multiple regions.

Batch Processing
For running large compute and batch jobs using Preemptible VMs. Features fixed pricing and no contracts or reservations. Activated by checking a box when creating the VM, and then they can be turned off when the work is done.

Containers
For running, managing, and orchestrating Docker containers directly on Compute Engine VMs or with Google Kubernetes Engine.

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 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 $0.004237.

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

(169)

Attribute Ratings

Reviews

(1-25 of 42)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Runs various operating systems. It also does the patch management of those OS
  • Virtual Manager allows management of OS
  • Provides high performance block storage
  • Provides global load balancing
  • Subnetworks are not supported
  • Support is quite expensive
  • The user interface can be complex for a first time user
Manthan Dhola | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Scalability and Flexibility - during peak hours or sudden spikes in traffic to our website, GCE automatically provisions additional virtual machine instances to handle the increased load.
  • Global Network Infrastructure - we can deploy multi-region architectures with ease, distributing workloads across multiple regions for improved redundancy and performance.
  • Advanced Security Features - encryption at rest and in transit, identity and access management (IAM) controls, network firewalls, and distributed denial-of-service (DDoS) protection
  • Costing - more visibility over how costing is calculated
  • More pre-configured templates like AWS has cloudformation
  • Advanced Monitoring Tools are needed
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Networking via VPC (Virtual Private Cloud)
  • Big Data Analysis/IoT
  • Storage/Databases for Data Transfer
  • Machine Learning for cloud based translations
  • Third party integrations are very tricky, UI can be improved
  • Artificial Intelligence is an area that can be clubbed together with Machine Learning for better result and future customisation
  • Networking tools can be simplified for better structuring
Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
  • Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
  • Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
  • The pricing model can get a bit convoluted at times
  • While the integration with other Google Cloud services is pretty slick, linking up Google Compute Engine with services outside of Google's ecosystem isn't always smooth sailing
  • The learning curve for more advanced Google Compute Engine features can be pretty steep at times
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Running jenkins jobs
  • Running performance tests
  • Simulate a production environment before each release
  • GCE is only available only in three regions, They can add more regions.
  • Google can provide pricing model like AWS's reserved instances and spot instances .
  • They can improve the UI a bit better, when I get started I found it hard to get familier with the UI.
Score 8 out of 10
Vetted Review
Verified User
  • Better interface than AWS
  • Service has been very reliable
  • Excellent security policy structure
  • Documentation could be improved
  • Sometimes is hard to estimate how much we are going to spend
Ye Yint Moe | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • VM Instances
  • Storage
  • Bare metal solution
  • Quota limit for Compute Engine API Persistent Disk SSD
  • Quota limit for Compute Engine API A2 CPU
  • Quota limit for Compute Engine API N2 CPU
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Auto Scaling
  • Flexible Instance Sizes
  • Easy to understand pricing model
  • More inside the UI advanced capabilities would be nice
  • Customer is currently forced to learn the CLI to do advanced functions / scripting
  • Stability is just not the same as other cloud providers in our experience.
Manjeet Singh | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • It's very easy to spin up a VM from the console. We can say the console is very user-friendly.
  • Set of predefined VMs ready to be used for different needs.
  • Options of preemptible VMs which help reduce the considerable amount of cost.
  • Spin up takes some time and that's where containers come into the picture.
  • Setting up security for created VMs is still messy and it can be simpler.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • It is easy to use
  • It is easy to setup
  • Configuration and monitoring of the instances is straightforward and thorough
  • The configuration of ingress and egress for the nodes could be easier
  • Machine image storing, compression, etc. could be better or have more functionality
  • Transferring machine images to and from my local environment is something I have wanted on GCE and its competitors for a long time
October 28, 2019

Great Service

Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • GCE is well suited for multi-environment testing, development, and experimentation.
  • Very cost effective.
  • If you want to do something outside of a standard image it can be a little cumbersome.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • East interface to scale up and down the compute capacity
  • Easy, straight forward billing and chargeback capabilities
  • Reliability / uptime is great and had no issues so far on uptime
  • Works well in multi cloud environments
  • Although not always used, there is room for adding more detailed and granular management console when things go wrong (and sometime they do)
  • Documentation can sometime be hard to find especially for using GCE for time critical, large scale deployments
  • There are also some compatibility issues when running custom libraries over GCE. Support for third party drivers and libraries can be improved.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Easy and fast creation of the resource.
  • Rich ecosystem of tools and cloud technologies.
  • Ability to scale up and down, based on the needs.
  • Better documentation.
  • Up to date documentation.
  • Capabilities on par with AWS.
Brendon Brown | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Compute Engine is gaining traction, and documentation is getting easier to find.
  • Menus and services are structured more intelligently.
  • The idea of poor Support from the Google brand prevents my technicians from picking up the phone.
  • It's easier to find EC2 experts to consult and support mission-critical operations.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Access files and data with higher security.
  • Easy to manage.
  • Create virtual machines very easily.
  • Google Compute Engine is user-friendly.
  • The price is good.
  • Documentation can be more detailed.
  • More costs options.
  • No other recommendations.
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