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The Foundation for Cloud Processing
September 28, 2019

The Foundation for Cloud Processing

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

Overall Satisfaction with Google Compute Engine

Google Compute Engine is used for a variety of workloads. Its use is growing as larger parts of the organization start embracing cloud computing.
  • Internal applications.
  • Tools.
  • QA and testing environments.
  • Production deployment.
  • Experimentation with new technologies.
  • Migration from datacenter to cloud environments.
  • Training environments (they can be easily created and then deleted after the training).
  • Business processing.
  • Data processing and pipelines (in combination with various other products available in Google Compute Platform (GCP).
  • Easy and fast creation of the resource.
  • Rich ecosystem of tools and cloud technologies.
  • Ability to scale up and down, based on the needs.
  • Better documentation.
  • Up to date documentation.
  • Capabilities on par with AWS.
  • Dynamic allocation of computing when we need them.
  • Faster experimentation.
  • Reduced time troubleshooting.
  • Amazon Elastic Compute Cloud (EC2)
Google Compute Engine has similar capabilities and features as Amazon EC2. Their ecosystems differ, and Amazon has a lead in more innovative products, but Google is working on closing the gap. If sticking to the essential functionality of computing, Google Compute Engine and Amazon EC2 are practically interchangeable; we run workloads on both. We appreciated the more cost-effective solution offered by Google Compute Engine for our use cases.
  • The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
  • Google support was great and their presence on site was very helpful in dealing with various issues.

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

Google Compute Engine is well suited for:
  • All situations where one needs to allocate compute capability. Google Compute Engine offers a variety of server configuration and one should be able to find a matching configuration, except for largest servers or mainframes. This still may be the case for large relational databases in enterprises.
Google Compute Engine is less well suited for:
  • Processing confidential information if the organization does not master security in cloud environments. One cannot simply transplant an application from a private data center to the cloud and expect the same security. Security needs to be designed and implemented from the start.
  • Period workloads processing events. For that, consider Serverless/Function as a Service which is also a offering on Google Compute Platform.

Google Compute Engine Feature Ratings

Infrastructure-as-a-Service (IaaS)
7.9
Service-level Agreement (SLA) uptime
8
Dynamic scaling
8
Elastic load balancing
8
Pre-configured templates
6
Monitoring tools
10
Pre-defined machine images
7
Operating system support
8
Security controls
8