Compute Engine supports all of our needs
Updated April 27, 2021
Compute Engine supports all of our needs
Score 9 out of 10
Vetted Review
Verified User
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.