Google Compute Engine vs. Platform.sh

You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.

Incentivized

In our organisation we are the only team that uses Platform.sh to host any site. This was a cost effective way for us as we were using Acquia Cloud earlier for these websites. We mostly use Platform.sh for those sites which are always in development as it is simpler and faster to handle these operations in Platform.sh. Then we do a lift and shift to Acquia as we move more towards the go live and post production maintenance side.

Incentivized

• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

Incentivized

• As this is a PaaS it mitigates the complexities of a Cloud infrastructure like Acquia
• We are easily able to integrate our sites with different technologies like Python and Rest
• Helps us in providing Continuous Development cloud deployment hosting solution

Incentivized

• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

Incentivized

• Platform.sh is not for beginners in my opinion. It has a good amount of learning curve in my opinion.
• As this is a PaaS, teams habituated with cloud infrastructure may miss the server side support from their cloud teams. I believe you will have to work on server bugs more on your own.
• During normal maintenance periods, integrations may fail if you are working on your sites in that time, in my experience.

Incentivized

Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

Incentivized

Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

Incentivized

Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

Incentivized

It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.

Incentivized

• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

Incentivized

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.

Incentivized

In our team we use Platform.sh mostly while sites are in developmental phase. Then we do a lift and shift to either Acquia or AWS depending on the type of sites we have. Platform.sh is really cost effective and more fluid in terms of Continuous Development hence the usage. After said development is done, we generally lift and shift to Acquia for more content heavy sites and to AWS for more transaction oriented sites.

Incentivized

It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

Incentivized

• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

Incentivized

• Continuous development for sites in build has been fluid
• Platform.sh is really cost effective when comparing to AWS or Acquia Cloud
• On the other side, lack of server side support demands a big learning curve from its users in my opinion.

Incentivized