AWS CloudFormation vs. Google Compute Engine

I still give it an 8 because it's one of those tools that just quietly does the heavy lifting for you but it can really test your patience when it breaks esp with deep nested stacks. It's perfect for projects where we need clean consistent environments every time. It's less ideal for quick experimental setups like new EC2 configs or Lambda permission tweaks.

Incentivized

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

• All resources can segregated based on stacks which provides greater visibility
• A complete audit trail of what went wrong while deploying a particular resource
• Automatically rollbacks if any service as part of CloudFormation results in an error
• The UI tool is useful

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

• Error Description upon Failure Needs to be Improved.
• Slow to create, delete or update.
• Need to delete resources manually. It can ask before starting deletion whether to skip those resources or delete them.

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

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

It's easy enough to get a shared template & apply it. You don't even have to download-then-upload or copy-and-paste, a publicly-accessible url works.

Diving deeper, it has enough powerful capabilities to make the life of a platform / DevOps engineer bearable.

However, you need equally deep knowledge to troubleshoot issues, when they inevitably pop up. This is the same for all IaC technologies, as they are additional abstraction layers on top of the native API provided by the cloud providers.

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

Cloning a virtual machine creates a virtual machine that is cloning a virtual machine creates a virtual machine that is a copy of the original. The new virtual machine is configured with the same virtual hardware, installed software, and other properties that were configured for the original virtual machine. For information about persistent memory and PMem storage, see the vSphere Cloning a virtual machine creates a virtual machine that is a copy of the original. The new virtual machine is configured with the same virtual hardware, installed software, and other properties that were configured for the original virtual machine. For information. Management guide.For information copy of the original. The new virtual Cloning virtual machine creates a virtual machine that is a copy of the original. The new virtual machine is configured with the same virtual hardware, installed software, and other properties that were configured for the original virtual machine. For information about persistent memory and PMem storage, see the vSphere Resource Management Guide. For information is configured with the same virtual hardware, installed software, and other properties that were configured for the original virtual machine. For information about persistent memory and PMem storage, see the vSphere Resource Management Guide. For information

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

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

Incentivized

• + We can standup a VPC in minutes
• - It took a lot of inital time to set up
• + With logging/rollback, made testing much easier.

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