GCE - the right compute you need for your workloads!
September 21, 2024
GCE - the right compute you need for your workloads!

Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google Compute Engine
Google Cloud compute engine (GCE) is the backbone of all Google Cloud for us. Anything you plan to do needs computing, and GCE works well with all the offerings of different CPU, RAM, and GPU configurations for various workloads. We use GCE directly for stateful services while it is used under the hood for k8s clusters and other services.
Pros
- Per sec pricing.
- Configuration in terms of CPU and RAM requirements.
- Uptime
- Ease of creation.
Cons
- Specific metrics from the machine without the installation of an agent.
- Error reporting for scenarios where the machine goes down without any maintenance announced.
- Shared CPU machine performance.
- Networking cost.
- With higher uptime, the time spent on managing infra has decreased.
- Ease of scaling Disk sizes in running machines helps slowly increase the cost as the business scales compared to pre-provisioning.
- Faster upgrades to higher configs and creating clusters that can scale with increased workloads.
- DigitalOcean Droplets and Amazon Elastic Compute Cloud (EC2)
The Google Cloud computing engine is fair at the top because it bills customers, automatic discounting for extended use, and how fast it can be turned on. We enjoy things around setting it up very easily via APIs and CLI commands, and with the always-on recommendations from Google Cloud in terms of CPU and RAM usage, we can also optimize cost well.
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

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