Google Compute Engine

Score8.3 out of 10

196 Reviews and Ratings

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.

Categories & Use Cases

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Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?

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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.

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Screenshot of How to choose the right VM With thousands of applications, each with different requirements, which VM is right for you?

Dynamic scaling
Ease of scaling up or down in response to customer needs
Category average: 8.1
Service-level Agreement (SLA) uptime
The service uptime as a percentage defined in the SLA
Category average: 8.6
Elastic load balancing
Automatic balancing and distribution of resources across multiple virtual computers
Category average: 8.5

Pre-configured templates
Pre-defined templates for virtual machines
Category average: 7.5
Pre-defined machine images
Range of different server configurations available
Category average: 7.7
Monitoring tools
Monitoring tools provide alerts when problems are detected
Category average: 7.8

Most Frequent Users

Top 3 industries using Google Compute Engine.

Based on HG Insights installation data

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#1 most frequent

Professional, Scientific, and Technical Services

6.5%

127,059 installations of 1,951,165

#2 most frequent

Manufacturing

3.1%

60,050 installations of 1,951,165

#3 most frequent

Other Services (except Public Administration)

2.4%

46,677 installations of 1,951,165

Verified User

Consultant in Information Technology (10,001+ employees)

Use Cases and Deployment Scope

In our organization we use Google Compute Engine to host our multiple internal applications. It helped to solve the infra scalability, resource management, optimizing operational cost.

Pros

Low latency Network
Flexible billing option
VM customization
Auto scaling

Cons

Third party compatibility
Support documentations should be simple
VM is slow during startup
Hybrid cloud setup is complex

Return on Investment

Reduced operational cost
Increased deployment efficiency
Eliminated on prim dependency
Scalability

Alternatives Considered

Amazon Elastic Compute Cloud (EC2) and Azure Virtual Machines

Other Software Used

Amazon Elastic Compute Cloud (EC2), Azure Virtual Machines

Verified User

Engineer in Information Technology (501-1000 employees)

Use Cases and Deployment Scope

Best for scalable customizable VMS with strong performance Google Cloud integration

Pros

Cost Benefits- Users can benefit from sustained use discounts reducing costs based on usage
High Availability- It offers automatic failover and managed instance groups to ensure application availability

Cons

Dashboard - A more customizable dashboard with widgets for key metrics, such as CPU usage, network traffic, and storage, would allow users to monitor their resources more effectively
Enhanced Container Support - A more unified container management platform that integrates container orchestration, and storage to simplify the containerization process
Networking and Security - Adding support for more advanced networking features, such as multi-cloud peering

Return on Investment

Reduced Costs - Pay-as-you-go pricing and preemptible VMs lower infrastructure costs compared to on-premises solutions
Complexity in Management Requires expertise to optimize and manage instances effectively

Alternatives Considered

Amazon EC2 Auto Scaling

Usability

Marcos Vincius Costa de Carvalho View profile

Business Analytics Analist in Information Technology at ACE (51-200 employees)

Use Cases and Deployment Scope

I use Google Compute Engine to run the virtual machines that power our entire business, from our public apps to our internal databases. It solves the fundamental problems of infrastrucure cost, reliability and scalability

Pros

Variablity of machine types
Instance provisioning Speed
Seamless ecosystem integration
Fair billing

Cons

Steep learning curve in the UI
Cost forecasting and Management
Default Resource Quotas and increase process

Return on Investment

Reduced costs over AWS and Azure
Financially Enabled us to host our own Applications
Direct Reduction in Monthly Compute Costs

Alternatives Considered

Azure Virtual Machines

Other Software Used

Pipedrive, n8n

ISIDRO MORAN View profile

Director, Engineering in Engineering at Vistadash (51-200 employees)

Use Cases and Deployment Scope

Our entire server infrastructure runs on Google Compute Engine. This includes web, authentication and CI/CD servers (Jenkins). We can easily scale by deploying virtual instances as needed with just a few clicks. Tasks such as backup and monitoring are handled automatically, allowing our team to stay lean and focus on our main subject matter.

Pros

Instance deployment
Backup and Recovery
Alerts and monitoring

Cons

OS upgrades
Resource allocation
Disk management

Return on Investment

Zero infrastructure headcount
Low to none support associated costs
Accurate cost forecast

Alternatives Considered

Google Cloud SQL, Google Cloud Storage, Google Cloud Virtual Private Cloud (VPC) and Google Cloud Deployment Manager

Other Software Used

Atlassian Bitbucket, Atlassian Jira, Jenkins

Verified User

Analyst in Information Technology (501-1000 employees)

Use Cases and Deployment Scope

In our company, we are both users and integrators of Google Cloud Platform. Among all the products, Google Compute Engine is probably one of the most widely used, as it allows for the creation of virtual machines. We manage a wide variety of projects using this product. Suffice it to say that our entire infrastructure runs on GCP.

Pros

Resources allocation
Monitoring
Catalogue deployment
Awesome free tier and discount credits

Cons

UI for advanced feature
Cost prediction

Return on Investment

Credits allows to to test and fine tune your infrastructure
Google Compute Engine relies on other aspects of the Cloud Platform to work, so you need to consider them.
Google offers tools and suggestions on how to optimize costs.

Alternatives Considered

Amazon Elastic Compute Cloud (EC2) and Oracle Cloud Infrastructure

Other Software Used

Amazon Elastic Compute Cloud (EC2)

Amazon Web Services

Microsoft Azure

Amazon S3 (Simple Storage Service)

Google Compute Engine

What is Google Compute Engine?

Categories & Use Cases

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