GCE the Google Cloud All Rounder
Updated February 16, 2025

GCE the Google Cloud All Rounder

Rajveer Mathur | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google Compute Engine

Google Compute Engine is a stateful compute service in GCP, so the business problems we try to use it for are deploying different solutions it can be AI solutions, for any other. Recently we are using for the deployment of LLMs, we are using it to deploy Open Source LLMs up there for security closure which has to be shown to clients. Being a server backed compute the main monitoring and flexibility of setup is the main benefit in my views, perfect for learning as well as noting down the last detail of the solution in terms of requirements or maintenance workloads.

Pros

  • Flexible Setup, the whole catalog of hardware and software is up your hand to select best from.
  • Security Closures, being the firewalls and other features, it saves our solution from network vulnerabilities.
  • Monitoring Dashboard, in general if we try to use the on-prem resources, the continuous monitoring is a headache but with GCE it is managed at all times.

Cons

  • Predictive Cost Modeling, I am using GCE from a very long time but always end up getting bills which are way ahead of what was shown on the dashboard.
  • Enhanced RIs Management, in the time of GenAI atleast we can expect best recommendations as per our usages for Reserved Instances to get optimized bills.
  • Some betterments in UI/UX, when I was new to GCE the UI was a bit of a learning curve for me. In exploring phase, it took some time.
  • Reduced costs of infrastructure, shifting from on-premises to cloud, gave up a huge shift in the infrastructural cost plus the pay as you go model help to reduced atleast 20% of our overheads.
  • Faster deployments and scaling, so just by a click of a checkbox the autoscaling starts, maybe with a restart but the time of vertical and horizontal scaling is reduced by almost 60% in comparison to on-prems.
  • Automated Patches handled by Google, it has been a game changer.
In all the scenarios of what I have used GCE has been a stronghold. The rating is still not perfect because of the monitoring dashboard can have more improvements and very occasional performance dips. Other than that, perfect at scalability and flexibility with totally excellent performances record. Pretty great integration with other GCP services too.
Industry competitive uptimes for sure, never troubling on with day-time updates or upgrades. Redundancy and failovers can only be managed if multi-region is on. Planned maintenance are sometimes frequent in a month like 2 or 3, which could lead somewhere problematic for a long running job hardware to handle, so deducting one mark for that.
The perfect blend of setup flexibility, costing and trust of Google could be my answer to the comparison. This being a server backed service so, ruling out the functions. The Setup flexibility and speed set the GCE apart from Kubernetes. Compliance, regulation and the security layers set the GCE apart from all other services.

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

Yes

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

Yes

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

Yes

Did implementation of Google Compute Engine go as expected?

Yes

Would you buy Google Compute Engine again?

Yes

The scenarios where setups should be most flexible, monitoring you can setup as per needs, and high-performance requirement is a must, even we can setup the security premises as well. All of the setup is in your hand and as per your requirements and resources you can set up the whole solutioning till the very last inch of it.

Google Compute Engine Feature Ratings

Infrastructure-as-a-Service (IaaS)
7.3
Dynamic scaling
7
Elastic load balancing
8
Pre-configured templates
9
Pre-defined machine images
8
Operating system support
5
Security controls
7

Evaluating Google Compute Engine and Competitors

  • Scalability
  • Integration with Other Systems
  • Ease of Use
  • Other
The autoscaling checkbox is the top end feature of setting these in motion. The ease of deployment and the support for these are totally a thing to consider when it comes to setting compute power to solutions. The best thing is Google infrastructure with near zero downtime and maintenance time.
To improve my GCP Compute Engine evaluation, I'd refine the workload characterization. This involves a deeper dive into application resource needs, usage patterns, and future scaling requirements. I'd also prioritize performance testing with realistic workloads and data sets to validate instance type selection and configurations. Furthermore, I'd enhance cost modeling by incorporating sustained use discounts, committed use discounts, and free tier usage to provide a more accurate cost projection.

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