AWS CloudFormation vs. HashiCorp Terraform

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

8 because it's currently best-in-class and is completely essential to use in contrast to not expressing your infrastructure as code. That said, new contenders are nipping at its heels, and I expect stronger tools to emerge in the coming years. Hopefully the Terraform team is able to keep pace.

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

• Terraform is cloud agnostic. Just select the suitable provider for the cloud and it will do the job.
• Templating is possible to make the Terraform templates reusable.
• Variables can be created to make the templates generic so that it can be reused for different environments or resources.

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

• The errors generated by the plan and preview commands are pretty cryptic, it can be hard for newcomers to the scripting language to understand how to address problems.
• Access controls around workspaces is limited which makes it harder to secure reduce the scope of teams ability.
• Analytics around user usage, applies and plans would be helpful for managemenet.

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 love Terraform and I think it has done some great things for people that are working to automate their provisioning processes and also for those that are in the process of moving to the cloud or managing cloud resources. There are some quirks to HCL that take a little bit of getting used to and give picking up Terraform a little bit of a learning curve, thus the rating

Incentivized

Terraform's performance is quite amazing when it comes to deployment of resources in AWS. Of course, the deployment times depend on various parameters like the number of resources to deploy and different regions to deploy. Terraform cannot control that. The only minor drawback probably shows up when a terraform job is terminated mid way. Then in many cases, time-consuming manual cleanup is required.

Incentivized

Terraform is community driven but does offer support for it's Enterprise product. When contacting the team at HashiCorp we have always gotten resolution to our issues. They have been very responsive in returning our calls and answering our questions as they come up. We are currently using the open source model.

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

dbt was fine, but you end up with an extremely bloated repo/project. Often where all of the models are the same, named similarly, and generally just doesn't adhere to the concept of DRY coding. In Terraform we're able to template a lot of this work and dynamically generate assets based on variables instead.

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

• Using code, we are able to build and deploy cloud resources faster and more consistently than producing the same resources in the console manually.
• For applications that share architectures, we can reuse code to expedite development. We can also do the same with modules that are shared across the organization.
• By defining all of our resources as code, we can deploy complete environments with "batteries included." For example, we can use code that spins up servers in a cloud provider and at the same time, creates monitors with in our monitoring provider. Likewise, when the servers are decommissioned, the monitors are decommed along with them. In the past, the creation and decom of the monitors would have been a disjointed, manual step. With Terraform we get it all with one "terraform apply."

Incentivized