HashiCorp Terraform vs. Progress Chef

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

Chef is a very nice tool for establishing and maintaining a consistent configuration across a range of servers. In addition, Automate allows the continued monitoring and maintenance of servers so they don't drift from established standards. Overall, it deals very well with complex systems. Chef is slightly less applicable for a micro-services approach where the servers are replicated from a simple and known starting point.

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

• Chef is very easy to learn. Written in ruby, Chef code is high enough level for non-ruby coders to get a general idea of what the script is doing.
• Chef can be a one stop shop for writing code, testing infrastructure, and deployment of applications.
• The Chef support team is very helpful in their auto manager support as well as active support in their Slack channels from development engineers & architects.

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

• One main concern with Chef is the maintainability of Chef master.
• The Chef-client should be installed on every node we want to do any automation.
• It is mostly Ruby and there's a learning curve. Need to understand the fundamentals of Chef very throughly to play around with attributes, templates etc etc.
• The Chef-client agent needs to be run on the nodes frequently to update the details of it state to master. And also to index the nodes based on tags.

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

The suite of tools is very powerful. The ability to create custom modules allows for unlimited potential for managing all aspects of a system. However, there is pretty significant learning curve with the toolset. It currently takes approx 3-4 months for new engineers to feel comfortable with our implementation

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

It loads quick enough for basically all our systems. Because we have this for local dev environments, speed isn't really a big issue here. Yes, depending on the system, sometimes it does take a relatively long time, but it's not an issue for me. One thing that is annoying is that if I want to make a small change to a cookbook and re-run the Chef client, I can't just make the change in the cache and run it. I have to do the whole process of updating the server.

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

Support for Chef is easily available for fee or through the open source community as most the issues you will face will have been addressed through the Chef developer community forums. The documentation for Chef is moderate to great and easily readable.

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

Chef is the more developer-oriented of the three main tools in this space. It has a steeper learning curve as a result but it allows you to do more. Puppet seems to be more geared towards automated the management of the operating system. Ansible is an excellent tool but requires you to allow SSH connectivity into all of your instances.

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

• We can deploy tens to hundreds of servers in a small amount of time.
• We can grow our infrastructure very quickly with limited resources adjusting to customer demand as soon as the need arises.
• We are able to automate many of the mundane tasks that used to occupy the time of our engineers allowing us to focus on more critical tasks.

Incentivized