#1 most frequent
United States of America
49.9%676,211 installations of 1,355,621
What is Google Compute Engine?
Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
Categories & Use Cases
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Screenshot of How to choose the right VM With thousands of applications, each with different requirements, which VM is right for you?
Top Performing Features
Dynamic scaling
Ease of scaling up or down in response to customer needs
Category average: 8.1
Service-level Agreement (SLA) uptime
The service uptime as a percentage defined in the SLA
Category average: 8.6
Elastic load balancing
Automatic balancing and distribution of resources across multiple virtual computers
Category average: 8.5
Areas for Improvement
Pre-configured templates
Pre-defined templates for virtual machines
Category average: 7.5
Pre-defined machine images
Range of different server configurations available
Category average: 7.7
Monitoring tools
Monitoring tools provide alerts when problems are detected
Category average: 7.8
Who Buys & Uses Google Compute Engine
#2 most frequent
United Kingdom of Great Britain and Northern Ireland
9.2%124,346 installations of 1,355,621
#3 most frequent
Canada
5.2%70,356 installations of 1,355,621
Google Compute Engine - Solid choice for low budget companies
Use Cases and Deployment Scope
I use Google Compute Engine to run the virtual machines that power our entire business, from our public apps to our internal databases. It solves the fundamental problems of infrastrucure cost, reliability and scalability
Pros
- Variablity of machine types
- Instance provisioning Speed
- Seamless ecosystem integration
- Fair billing
Cons
- Steep learning curve in the UI
- Cost forecasting and Management
- Default Resource Quotas and increase process
Return on Investment
- Reduced costs over AWS and Azure
- Financially Enabled us to host our own Applications
- Direct Reduction in Monthly Compute Costs
Alternatives Considered
Azure Virtual Machines
Other Software Used
Pipedrive, n8n
Google Compute Engine - Reliable and salable
Use Cases and Deployment Scope
In our organization we use Google Compute Engine to host our multiple internal applications. It helped to solve the infra scalability, resource management, optimizing operational cost.
Pros
- Low latency Network
- Flexible billing option
- VM customization
- Auto scaling
Cons
- Third party compatibility
- Support documentations should be simple
- VM is slow during startup
- Hybrid cloud setup is complex
Return on Investment
- Reduced operational cost
- Increased deployment efficiency
- Eliminated on prim dependency
- Scalability
Alternatives Considered
Amazon Elastic Compute Cloud (EC2) and Azure Virtual Machines
Other Software Used
Amazon Elastic Compute Cloud (EC2), Azure Virtual Machines
Google Compute Engine (GCE)
Use Cases and Deployment Scope
Best for scalable customizable VMS with strong performance Google Cloud integration
Pros
- Cost Benefits- Users can benefit from sustained use discounts reducing costs based on usage
- High Availability- It offers automatic failover and managed instance groups to ensure application availability
Cons
- Dashboard - A more customizable dashboard with widgets for key metrics, such as CPU usage, network traffic, and storage, would allow users to monitor their resources more effectively
- Enhanced Container Support - A more unified container management platform that integrates container orchestration, and storage to simplify the containerization process
- Networking and Security - Adding support for more advanced networking features, such as multi-cloud peering
Return on Investment
- Reduced Costs - Pay-as-you-go pricing and preemptible VMs lower infrastructure costs compared to on-premises solutions
- Complexity in Management Requires expertise to optimize and manage instances effectively
Alternatives Considered
Amazon EC2 Auto Scaling
Usability
Google Compute Engine Review
Use Cases and Deployment Scope
Google Compute Engine is an Infrastructure as a service component of GCP. We are able to deploy and downsize any virtual service using this service. Our organization is transitioning from on prem to cloud and this service enables us to save cost on both capex and open. We are able to deploy multiple instances of virtual servers when the demand is high and we can downsize when the demand is low. The pay as you go model has been very beneficial during the budget excercise to save additional cost
Pros
- Hosting applications or web servers
- Multiple instances of virtual servers can be spun up
- Pre prod environment is set up for all the testing before it's scheduled on prod servers.
Cons
- The GCP in general is a little complicated cloud service provider thn AWS/Azure
- Low availability on south america locations
Return on Investment
- On prem servers have been decommissioned which has saved a lot of money
- The infrastructure support is provided by Google which has reduced our operational cost
- The security has multiple layers and all the data is 100% secured
Other Software Used
Microsoft Teams, BeyondTrust Remote Support
The cloud server infrastructure you need a few clicks away
Use Cases and Deployment Scope
Our entire server infrastructure runs on Google Compute Engine. This includes web, authentication and CI/CD servers (Jenkins). We can easily scale by deploying virtual instances as needed with just a few clicks. Tasks such as backup and monitoring are handled automatically, allowing our team to stay lean and focus on our main subject matter.
Pros
- Instance deployment
- Backup and Recovery
- Alerts and monitoring
Cons
- OS upgrades
- Resource allocation
- Disk management
Return on Investment
- Zero infrastructure headcount
- Low to none support associated costs
- Accurate cost forecast
Alternatives Considered
Google Cloud SQL, Google Cloud Storage, Google Cloud Virtual Private Cloud (VPC) and Google Cloud Deployment Manager
Other Software Used
Atlassian Bitbucket, Atlassian Jira, Jenkins
