Google Compute Engine. It's good.
April 09, 2021

Google Compute Engine. It's good.

Frank Palladino | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google Compute Engine

We use Google Compute Engine across the organization along with other Google Cloud Platform Services. We have interconnected collections of Google Cloud Platform Services which include among these sets of services components deployed on the Google Compute Engine, which act as the backbone of multiple customer facing production deployments.

To be more precise we have one product which is a web app for monitoring and prediction of household energy consumption and household solar panel power generation. To implement this on GCP we are using numerous GCP services including Google Compute Engine but not limited only to GCE.

Additionally, we have another product which focuses on voltage optimization primarily for the purpose of conservation voltage reduction at a particular customer site (e.g. a substation controlling a factory, school, large building or facility, etc). The voltage optimization consists primarily of monitoring sensors and performing a near real-time prediction and optimization, and then providing recommended voltage levels for an OLTC controller. This particular deployment must occasionally be deployed on-site, however we also support production level cloud deployment. The cloud deployment will use Google Compute Engine to host a Docker environment, that mirrors the Docker environment that we set up on the machines for the onsite deployments.

We also use Google Compute engine in a number of prototype builds for testing the efficacy of data science and machine learning models and as a platform for quick collaboration during remote work. Though the number of such deployments are myriad, hence I will forgo the details.

  • 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
  • Some of the automated infrastructure deployments we have been able to do on GCE have saved us hassle for our production deployments and allowed us to have periods of downtime for our automated deployment testing environment saving compute resources
  • We are able to run several production deployments for several different customer facing products at a comparable cost to what it cost to run one production deployment at a competitor. This is likely due to a combination of the savings mentioned in my earlier point, better pricing on GCP, (and likely Moore's law to some extent where the necessary compute just gets cheaper over time).
  • GCP deployments streamline some of the tasks that I do frequently. That's gotta count for something.
I've used the AWS stack, the Azure stack, OCI, and IBM cloud. I have found GCP and AWS the easiest to deploy, configure, manage, and so on. Google has offered me at least 5 free in person classes to train me in new features on the platform. Likewise AWS has offered me probably 10 to 15 guided online tutorials, with a person to field any questions. All of this free training will no doubt affect my experience in a serious way, so keep that in mind as a reader.

Outside of ease of use and configuration, I haven't experienced performance problems across any of the cloud services that I have used.

Do you think Google Compute Engine delivers good value for the price?


Are you happy with Google Compute Engine's feature set?


Did Google Compute Engine live up to sales and marketing promises?


Did implementation of Google Compute Engine go as expected?


Would you buy Google Compute Engine again?


I have recommended the platform to students, friends and family members alike. The help and documentation is very easy to follow for a beginner. Plus, GCP has built in tools which make some common tasks that non-production level cloud users need to accomplish very easy in an automated way.

Now, to address the question of recommending GCE to a colleague, ultimately the organization will have to make a decision regarding the entire cloud platform. It wouldn't make much sense, outside of a special case, to use GCE for some parts of your cloud infrastructure and a competitor on other parts.

That practical caveat aside, I believe that the GCP brings a strong suite of tools to the table overall and is good value for money at this time as well.

Developer familiarity to certain competing platforms can be a sticking point, but a colleague who is already asking for a recommendation is likely already open minded about moving to GCP.

Google Compute Engine Feature Ratings

Service-level Agreement (SLA) uptime
Dynamic scaling
Elastic load balancing
Pre-configured templates
Monitoring tools
Pre-defined machine images
Operating system support
Security controls