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Google Compute Engine

Score8.3 out of 10

196 Reviews and Ratings

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

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Key Features

Learn about the best (and worst!) features Google Compute Engine has to offer, as determined by TrustRadius' reviewers.
Based on 196 ratings of Google Compute Engine's features
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Top Performing Features

  • Dynamic scaling

    Ease of scaling up or down in response to customer needs

    Category average: 8.2

  • 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

Areas for Improvement

  • Pre-configured templates

    Pre-defined templates for virtual machines

    Category average: 7.6

  • Pre-defined machine images

    Range of different server configurations available

    Category average: 7.8

  • Monitoring tools

    Monitoring tools provide alerts when problems are detected

    Category average: 7.9

Reviews

What users are saying about Google Compute Engine.
View all reviews

Google Compute Engine - Solid choice for low budget companies

Incentivized
Marcos Vincius Costa de CarvalhoView profile
Business Analytics Analist in Information Technology at ACE (51-200 employees 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

Google Compute Engine - Reliable and salable

Incentivized
Verified User
Consultant in Information Technology (10,001+ employees 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

Google Compute Engine (GCE)

Incentivized
Verified User
Engineer in Information Technology (501-1000 employees 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

Google Compute Engine Review

Incentivized
Verified User
Team Lead in Information Technology (10,001+ employees employees)

Use Cases and Deployment Scope

Google Compute Engine is an Infrastructure as a service component of GCP. We are able to deploy and downsize any virtual service using this service. Our organization is transitioning from on prem to cloud and this service enables us to save cost on both capex and open. We are able to deploy multiple instances of virtual servers when the demand is high and we can downsize when the demand is low. The pay as you go model has been very beneficial during the budget excercise to save additional cost

Pros

  • Hosting applications or web servers
  • Multiple instances of virtual servers can be spun up
  • Pre prod environment is set up for all the testing before it's scheduled on prod servers.

Cons

  • The GCP in general is a little complicated cloud service provider thn AWS/Azure
  • Low availability on south america locations

Return on Investment

  • On prem servers have been decommissioned which has saved a lot of money
  • The infrastructure support is provided by Google which has reduced our operational cost
  • The security has multiple layers and all the data is 100% secured

Other Software Used

Microsoft Teams, BeyondTrust Remote Support

The cloud server infrastructure you need a few clicks away

Incentivized
ISIDRO MORANView profile
Director, Engineering in Engineering at Vistadash (51-200 employees 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

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