AWS CloudFormation vs. Google Cloud Platform

Cloning a virtual machine creates a virtual machine that is a copy of the original. The new virtual machine is configured with the Cloning 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 Resource Management Guide. For information 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 virtual hardware, installed software 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 Resource Management Guide. For information 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

For how it helps our team with data storage and connecting to GA4 as a backup option, and the incredibly low cost for us to use it and reliably back up our data, I would highly recommend using this tool for all of your cloud storage needs. It's easy to use and their customer service is always responsive and easy to get a hold of.

Incentivized

• IaC, transactional on top of that
• Support for "mainstream" general programming languages
• Sharable IaC "snippets" that can setup standardized environments for individuals quickly
• OOP techniques are available thanks to OOP languages

Incentivized

• Google Cloud Platform provide the autoscale workload when the workload need to scale up or down
• Great pay-as-you-go pricing model and dashboard report of pricing that help user monitor and optimize the cost
• Using simpler than other cloud provider

• 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

• The Logs Explorer is quite hard to dig into and find logs of interest
• BigQuery transparency for BigLake vs External tables isn't the best
• Google Group management for permissions can get hairy.

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

I've found it incredibly easy to use since day one of deployment.

Incentivized

Since the product I'm involved is primarily hosted on AWS we use CloudFormation but in some other products where we have hybrid cloud deployments we prefer Terraform which is opensource.

Incentivized

I feel GCS buckets are pretty interchangeable with Amazon S3 as far as I have typically used them. It just depends on who or your company wants to give money to. I have liked the Google Cloud Platform BigQuery console better than the interface for Snowflake, but that may be due to familiarity and the proportion of time I've used Google Cloud Platform over Snowflake.

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

• Approx 30% cost savings after moving from on-prem to GCP due to reduced hardware, maintenance of DC support, and energy costs.
• There are much faster release cycles due to CI/CD pipelines with cloud build and scalable infrastructure using GKE. It works very nicely.
• We use BigQuery a lot, and what used to take hours now takes minutes, speeding up business decisions across teams. Clients.

Incentivized