Google Compute Engine Reviews and Ratings

Use Cases and Deployment Scope

We use Google Compute Engine to run virtual machines that host our internal applications. As we don't have on-prem servers, we need a cloud structure to host our developed applications and the open source ones. We basically use cloud VMs and some their underlying network infra structure, leveraging the IAM policies to adequately provide access to our team members.

Likelihood to Recommend

I think Google cloud is well suited for both startups, medium enterprises and big corps, because of its pay-per-use pricing model, with a generous initials free credits program. It ranges from both simple to heavy users, with a robust solution for the entire management of all parts of a VM, including disks, OS, and the hardware itself, allowing to scale the size with ease. The only downside I see, it's because, sometimes, our users experience some error 500 due to the machine restarting without notice.

Use Cases and Deployment Scope

We use Google Compute Engine (GCE) as an Infrastructure as a Service to run some medium-scale workloads of the application. We also use it to run web servers for internal usage. It is very convenient to create, deploy and scale instances based on the demand and it integrates very well with other cloud services.

Likelihood to Recommend

pros:

- legacy migrations (can replicate the exact OS)

- custom machine types

cons:

- small team with limited dev-ops people

- simple event-driven tasks

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.

Likelihood to Recommend

Google Compute Engine is well suited to host our web application which required flexible memory and CPU scaling. Also when we use for batch processing , when task completes VMs automatically scales down using dynamic scaling feature.

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

Likelihood to Recommend

Google Compute Engine is an exceptionally powerful and reliable platform that serves as the backbone of our internal application infrastructure. It is well-suited for scalable web Applications and APIs but less for simple low-traffic websites or personal projects. For these, a Vercel would be the go-to solution. It is less appropriate for teams with no cloud experience and with inflexible budget, since forecasting is a little limited in Google Compute Engine.

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

Likelihood to Recommend

Google Compute Engine can be used to install web servers because of the payment you as you go model and the availability of sizing up or down as per the demand. There is option to install either Linux or windows operating systems. We can manage the resources via phone as well using the GCP application.

Use Cases and Deployment Scope

In our company, we are both users and integrators of Google Cloud Platform. Among all the products, Google Compute Engine is probably one of the most widely used, as it allows for the creation of virtual machines. We manage a wide variety of projects using this product. Suffice it to say that our entire infrastructure runs on GCP.

Likelihood to Recommend

From a purely cost-based perspective, Google Compute Engine is ideal if you're building an application from scratch, as it allows you to start small with the free tier or promotional credits and then gradually scale up your architecture. Under the hood, you have the power of Google, which provides a secure and reliable environment to work in.

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.

Likelihood to Recommend

It's ideal for startups looking to launch a SaaS product to the market relatively fast. Even better if growth estimation are steady to forecast costs accurately. It can become expensive for scenarios where growth can't be well estimated.

Use Cases and Deployment Scope

Best for scalable customizable VMS with strong performance Google Cloud integration

Likelihood to Recommend

Google Compute Engine is a powerful and flexible tool for a wide range of workloads, particularly those requiring customization, scalability

Use Cases and Deployment Scope

Google Compute Engine is a stateful compute service in GCP, so the business problems we try to use it for are deploying different solutions it can be AI solutions, for any other. Recently we are using for the deployment of LLMs, we are using it to deploy Open Source LLMs up there for security closure which has to be shown to clients. Being a server backed compute the main monitoring and flexibility of setup is the main benefit in my views, perfect for learning as well as noting down the last detail of the solution in terms of requirements or maintenance workloads.

Likelihood to Recommend

The scenarios where setups should be most flexible, monitoring you can setup as per needs, and high-performance requirement is a must, even we can setup the security premises as well. All of the setup is in your hand and as per your requirements and resources you can set up the whole solutioning till the very last inch of it.

Use Cases and Deployment Scope

We host all our VMs on Google Compute Engine. Our Kubernetes cluster is also dependent upon the nodes created on the Google Compute Engine. We have our backend services running directly on the VMs and on the Kubernetes cluster on the VMs. It also gives us a view of how the VMs are performing and if we need to scale them up.

Likelihood to Recommend

Google Compute Engine is well suited for hosting VMs and running your applications on these VMs. They are pretty stable and we've rarely encountered issues with the VMs. However, it might not be appropriate if you don't have a continuously running service and you might want to explore GCP cloud run.