Google Compute Engine is very scalable. With respect to managed instance groups, we can configure them to go up to any level. The only issue is the quotas because as we keep spawning new VMs, we exhaust our quotas, and we would need to reach out to the Google support team to increase our quotas. GCE also has a huge dependency on applications deployed on Compute Engines. However, with respect to Compute Engine, scalability is not an issue, and we can easily scale it up to our requirements.

The number of users changes from customer to customer. Some customers only have one application deployed on these Compute Engines, and some might have multiple applications to put on a single PC instance.

It is a scalable solution. Google is trying to make data centers and edge locations to increase its services. Google provides machine learning and artificial intelligence through GCP.  

I rate the product's scalability a ten out of ten. 

I would rate the scalability a nine out of ten. The solution offers a high level of scalability, it's able to adapt to our needs.

We have multiple workloads running; on average, any workload running has around 50 to 1000 users. The solution has been used quite significantly because our primary workloads are with GCE. The computing infrastructure relies on GCE. We do have it as a backup site as well. So, 80% of the workload runs on GCE.

We already, like, kind of maxed out our current usage. It will depend on the business strategy or any new application that comes in. We'll definitely expand in that case. But, at the moment, depending on the needs, we have fairly maxed it out.

Our company has more than 1000 users for the tool.

Compute Engine is highly scalable. We use instance groups, so we configure a single compute instance. It will automatically spin up the same machine and configuration when necessary. 

Google Compute Engine has a variety of instances, but for developing countries, such as Sri Lanka, we choose the lowest price ranges. We don't have many options for this solution.

My basic recommendation for people new to Google Compute Engine is to consider using it as it is a leader in the public cloud market. However, it's important to compare costs and options with other providers, such as AWS and Alibaba. While all of them offer competitive prices, Google Compute Engine is a simpler option for beginners.

I rate the scalability of Google Compute Engine an eight out of ten.

The node can be scaled 70 to 80 percent. 

No, and I don't expect any issues with scalability as the Datalab Kernel is running in a Google Compute Engine (GCE) virtual machine which can be scaled according to the developer's needs. In addition, Google Cloud Platform is designed around scalability at the Petabyte-scale.

It is scalable. There are around ten end users using this solution. 

It's scalable.