Google Compute Engine

Google Compute Engine provides on-demand computing resources that are easy to scale up or down according to my organization needs. This allows our business to quickly adapt to changes in demand without having to invest in additional hardware. It also offers a very competitive pricing, with option to select between preemptible VMs and standard VMs. It also ensures low latency and high performance for our applications hosted on Google Compute Engine.

While Amazon EC2 is the best tool for developers to build an app and make it live, It has some downsides too. EC2 requires so much development while Google Compute Engine makes it easy to build an app within a days. EC2 pricing also relatively high compare to Google Compute Engine which also make GCE a better choice.

GCE is available in 3 different regions whereas Ec2 is available in 11 different regions. The compute resources offered by the GCE has lower maximum capacity compared to AWS Ec2. The pricing model of GCE offers first 10 mins free and then charging in increments of 10 mins.
Both Ec2 and GCE offers high CPU/high memory and standard images

I prefer the Compute Engine Over these as it provides us with Better Scalability, Performance, and Reliability Security-related Issues don't arise with the Compute Engine, but yes, in terms of accessing or running, it can be improved a bit as compared to EC2 offered by AWS.

the main reason of choosing GCE is availability and user friendly UI with a very good documentation and API explanations. Great visibility over the infra and security.

The features specific to Google Compute Engine vs Amazon EC2 along with cost and availability are comparable, there may be other services within the vendor which may mean that one is more suitable for specific applications than the other one. We have used both for different purposes.

Google was easy to start with in terms of ease of use and support access.

Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability.

It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

AWS has become the de facto standard. Skills in Google Compute Engine and AWS are not easily transferable. Still, after getting to know Google Compute Engine well, productivity can be very high and ROI impressive. There are many additional services offered around Google Compute Engine, and in some cases they are better than the AWS comparable, in some cases there is no AWS comparable.

We decided to use GCE mainly for its price and good looking UI.

Google Compute Engine is better than other in terms of the pricing and the performance. But when it comes to ease of use i would prefer Azure Virtual Machines. Other than this I find GCE very competitive with these other solutions

Heroku was only viable for a couple of projects and AWS is a lot more complicated to configure and understand than Google Compute Engine.

Similar in capabilities, slightly slicker APIs and CLIs. More observability in the default UI and the CLIs. Easier to setup, the google console is slick. Azure has a good user interface as well with lots of documentation to help. CLI is slightly less intuitive, but decent. AWS I find is the most lacking, most convoluted and complex.

Google Compute Engine provides flexible cloud resources to deploy instantly and free 300$ credits provided option is a good consideration for those tech savvy who want to test and explore the features of Google cloud platform.

We’ve noticed the AWS product being a little better, but both solutions provide great abilities to auto scale.

Much of the cloud vendors in the market provide the same core functionality however some differ when it gets to the more technical or nuanced services, or advanced features within a service. Some of these take additional training but have been found to be easy to adopt to in the Google Cloud Platform

Google Cloud lacks the features and compatibility of the other cloud providers. It makes up for that with highly specialized and perfected services like their Big Data and Query features.

Google App Engine is a platform as a service where everything is taken care of by Google and we just need to write the code and deploy it onto it.
But we hardly have much control over the VMs and the OS offering is not much. We had a limited amount of OS version supported. Auto-scalability was also one of the reason.
We got rid of all the problems once we made a decision to use the GCE VMs

We have never used EC2, however, we chose Google Cloud over Amazon mostly because we felt Google was stronger in the data analytics tools and their platform seemed to be on the rise overall.

I've used the AWS stack, the Azure stack, OCI, and IBM cloud. I have found GCP and AWS the easiest to deploy, configure, manage, and so on. Google has offered me at least 5 free in person classes to train me in new features on the platform. Likewise AWS has offered me probably 10 to 15 guided online tutorials, with a person to field any questions. All of this free training will no doubt affect my experience in a serious way, so keep that in mind as a reader.

Outside of ease of use and configuration, I haven't experienced performance problems across any of the cloud services that I have used.

The best GCP products - GKE for containerization workload fit to the VM machines specified for different application type (monolithic). These services can be easily integrated with each other with additional benefits.

We have used a few other cloud providers of similar services and continue to use Google Compute Engine because it fits well within our technology stack and is cost-effective while providing the service we need. It has allowed us to use and experiment with many more environments than ever would be possible using physical servers.

After all the discounts, GCE is a bit cheaper with much less incidental expenses to deploy and maintain compared to Amazon, Microsoft Azur and Oracle (OCI). It is also easy to manage as the interface is simpler compared to AWS or Azur.

Google Compute Engine has similar capabilities and features as Amazon EC2. Their ecosystems differ, and Amazon has a lead in more innovative products, but Google is working on closing the gap. If sticking to the essential functionality of computing, Google Compute Engine and Amazon EC2 are practically interchangeable; we run workloads on both. We appreciated the more cost-effective solution offered by Google Compute Engine for our use cases.

Google Compute Engine seems to complete in the speed of deployment, usability, training, and pricing. Azure's advantage is the market share of experts, due to active directory IT teams integrating with Windows on corporate networks, along with the Office suite of services.