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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
  • Operating system support (52)
    7.7
    77%
  • Security controls (52)
    7.6
    76%
  • Pre-defined machine images (51)
    6.5
    65%
  • Pre-configured templates (50)
    6.1
    61%

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

7
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 8.4.

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

(181)

Attribute Ratings

Reviews

(1-25 of 52)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • allows users to scale their computing resources up and down according to demand
  • Google Compute Engine offers for supports for advance ML and AI
  • It prioritizes security.
  • AI needs to be trained more.
  • Works only in google ecosystem.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Hosting application frontend, backend, or any such things in your Virtual machine.
  • As we know today's generation is about GenAI, and vector stores are a huge part of it, computer engines are also able to host the Vector DB's.
  • The security scans provided by the compute engine are also very good and helpful.
  • The snapshots feature is also amazing, if you want to delete a VM always try to take snapshots of it with the date.
  • VM creation can be made simpler. For the very first time, user might feel a bit uneasy about it.
  • Price calculation for a particular VM maybe it is sometimes not exactly correct.
  • Subnetworks are not supported it should support it.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Scalability, as we needed the backend and our number of users were less so we used e2 medium and then when it went in production we used e2 large instance
  • Easy to configure, switching between settings and configuration was too easy just by some clicks and all things are done, including ports, security, etc
  • Snapshots and Virtual machine Image creation feature is too good when we don't need machine we stop it and create a snapshot of it for future use.
  • Networking configurations are somewhat hard to configure we need to add rules and policies and there I got confused a lot of time
  • Should include Automatic Scalability and Costing accordingly
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Easily customizable userdata scripts in compute engines
  • The integration with other services using RBAC is easy and quick
  • Community support for vm images if excellent
  • The UI can be improved. Difficult to find stuff if one is not experienced with GCP.
  • The cost options can be made much more competitive.
Score 9 out of 10
Vetted Review
Verified User
  • Quick customer service and intuitive design.
  • Top tier performance and seamless integration with other google services.
  • 24/7 support and user-friendly services.
  • Scalable and affordable for effortless workload adjustments.
  • Resource management and optimization can become complex, especially in large scale deployments.
  • Though not very important, more preconfigured templates would be a good addition to the platform.
  • Despite these issues, the platform delivers very satisfactory performance.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • configuration of firewall from ui is very easy.
  • can change the name of VM. Sometime the default name got saved which is very confusing, so we can change the VM name after stop it.
  • addition of extra disk space can be done in few clicks.
  • I got discount on VM original price.
  • I find the documentation a lit bit hard to understand for few times.
  • It will be good if I can change the VM name without stopping it.
  • Sometime the SSH feels slow and looks like its lagging.
Sagar Mehta | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Google Compute Engine Servers are very stable
  • Google Compute Engine Firewall is excellent and easy to manage
  • All different OS images are available with custom images as well
  • Kubernetes Service is very stable and auto-scalable.
  • VM are excellent with great performance but some offer on commercials can be good.
  • GKE is excellent service but rates are little on higher side.
  • Increasing Quota(s) on accounts can be made automatic.
Score 10 out of 10
Vetted Review
Verified User
  • Scalability. Allows us to scale our resources up or down based on demand.
  • Cost efficiency. Offers a pay-as-you-go pricing model.
  • Flexibility. Provides a wide range of VM configurations and customization options.
  • Top-notch security features. Helps to protect our data and applications.
  • Unparalleled customer support.
  • Although the cost is effective, for some small business enterprise this might be a big issue because the cost can be a bit higher.
  • Implementation and configuration may take time especially for the non-technical users.
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
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