GCP Cloud's Google Compute Engine
Overall Satisfaction with Google Compute Engine
We use GCP (Google Cloud Platform) for following purposes:
- VM instances for Linux as well as Windows
- GKE Cluster for hosting self auto-scaling cluster running dynamic/multiple applications
- Multi-user project management
- Multiple projects hosted with separate IAM users
- Scaling Up/Down based on requirements of servers and applications.
- VM instances for Linux as well as Windows
- GKE Cluster for hosting self auto-scaling cluster running dynamic/multiple applications
- Multi-user project management
- Multiple projects hosted with separate IAM users
- Scaling Up/Down based on requirements of servers and applications.
Pros
- Google Compute Engine Servers are very stable
- Google Compute Engine Firewall is excellent and easy to manage
- All different OS images are available with custom images as well
- Kubernetes Service is very stable and auto-scalable.
Cons
- VM are excellent with great performance but some offer on commercials can be good.
- GKE is excellent service but rates are little on higher side.
- Increasing Quota(s) on accounts can be made automatic.
- Good reduction is Infra Cost around 25% saving for Infra needs.
- GKE saved lot on Kubernetes service specially management part.
- Lifecycle of project is automated(Infra as Code) because of Terraform with GCP.
- Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), Azure VMware Solution and Azure Kubernetes Service (AKS)
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 Feature Ratings
Using Google Compute Engine
50 - We use it for all our Virtual Machines (VM) requirements over Google Cloud Platform (GCP) as we can customize most configurations with automation using tools like Terraform or other IaC's. Easy to manage and performance is also very good. Best solution for compute capabilities over cloud platforms with easy documents and interface.
50 - Ideally, its so easy that any IT professional with basic knowledge can use it. But, in our organization, Virtualization Administrators, Linux Admins, Windows Admins, Storage Admin, Network Admins, MiddleWare Admins, DBA, QA Engineers, Developers, Build Engineers and Release Engineers use it on almost daily basis. I would say even interns can also use it.
- Compute for Virtual Machines on Cloud
- Custom RAM/CPU management
- Custom HDD/SDD management
- Using Terraform with IaC
- Google Compute API's
- Google User Interface
- Google AI integration with Compute
- Automated SaaS solutions for our customers
- No-Code Infra Management
Evaluating Google Compute Engine and Competitors
Yes -
- Azure VM
- AWS EC2
- DigitalOcean Droplets
- Cloud Solutions
- Scalability
- Integration with Other Systems
- Ease of Use
We are good with our choice, so we will continue with Google Compute Engine.
Google Compute Engine Support
Pros | Cons |
---|---|
Quick Resolution Good followup Knowledgeable team Problems get solved Kept well informed No escalation required Support understands my problem Support cares about my success Quick Initial Response | None |
We have not purchased any premium support yet, but support is fairly good.
We were looking for increase in capacity, and we got immediate response on support tciket.
Comments
Please log in to join the conversation