Compute Engine supports all of our needs
Updated April 27, 2021

Compute Engine supports all of our needs

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Google Compute Engine

We use Google Compute Engine to support almost all of our in house computer. We have a web application that has a distributed backend of various workloads, all of which run on Compute Engine. Some of these workloads are even containerized. These workloads support the whole organization and provide analysis for research and development.
  • It can run containers.
  • It is completely flexible in terms of CPU, memory, etc.
  • It's APIs are useful for spinning up machines computationally.
  • Running multiple containers on one VM.
  • All of our work is R&D right now, so none. We started our workloads in the cloud so we don't have any on-prem to compare to.
  • Amazon Elastic Compute Cloud (EC2)
We have never used EC2, however, we chose Google Cloud over Amazon mostly because we felt Google was stronger in the data analytics tools and their platform seemed to be on the rise overall.
Google Compute Engine is suitable for any scenario that fits one of the pros I listed. It is very flexible and easily configurable. In many cases, VMs need to be spun up on the fly programmatically, and without orchestration software, one can accomplish this by using one of the APIs.

Google Compute Engine Feature Ratings

Dynamic scaling
9
Monitoring tools
7
Pre-defined machine images
7
Operating system support
8
Security controls
7

Google Compute Engine Support

Customer support is usually fairly responsive, however, they are not always super helpful which is standard for most customer support.

Using Google Compute Engine

It is very easy to configure VMs. A user has the option of using the SDK, the cloud console, or one of the APIs.