HashiCorp Terraform Reviews

We use Terraform to create infrastructure. We get the name of the resource provider, and the Terraform script is returned in HashiCorp Configuration Language (HCL). 

We can find readily available code from the HashiCorp community to create a virtual machine or Kubernetes service cluster. We take that code, provide the resource provider name, and run the script using Terraform commands to create the infrastructure

We currently use Terraform in our Azure pipelines in the cloud. Our team has 10 developers, and we will increase our usage as the team grows. 

We frequently need to create and replicate infrastructure from various environments like dev and QA. The QA resources need to be identical to those in the dev environment. With a Terraform script, we can replicate the same 50 in the dev environment to the testing environment. This is tedious to do manually, and Terraform speeds up the process. 

Infrastructure replication is Terraform's most valuable feature. 

Terraform should also support YAML language, which is more user-friendly than HCL. They should also add a GUI, so you don't need to memorize all the commands. A GUI would enable us to do everything with a click of a button. 

I have been using Terraform for the last three years.

I rate Terraform seven out of 10 for stability.

I rate Terraform eight out of 10 for scalability.`

I rate HashiCorp seven out of 10 for technical support.

Neutral

I rate Terraform eight out of 10 for ease of setup. 

Terraform is an open-source solution.

I rate HashiCorp Terraform seven out of 10. It's interesting to see how the infrastructure is created rather than creating it manually.

We use HashiCorp Terraform for Infrastructure as Code (IaC).

The most valuable feature of HashiCorp Terraform is the custom modules. The custom modules are built for each piece, like network and security, based on how the customers are. Then, we can tie them together, centralize them easily, and build them.

HashiCorp Terraform state management could be improved to be used efficiently with multi-users. Even though there are logs, there are always issues I've seen with people manipulating the TerraForm state. We cannot work efficiently with the solution if the state is incorrect. Due to certain reasons, if I have to change some piece of some resource, I cannot change it. I have to destroy the whole thing and then build a new one.

I have been using HashiCorp Terraform for three years.

HashiCorp Terraform is a stable solution. I rate HashiCorp Terraform an eight or nine out of ten for stability.

Around 20 users are using HashiCorp Terraform in our organization.

I rate HashiCorp Terraform an eight or nine out of ten for scalability.

HashiCorp Terraform's initial setup is simple. Especially with TerraForm Cloud, you don't have to do anything since it's a SaaS platform. Also, TerraForm Enterprise is easy to install.

HashiCorp Terraform's deployment is very easy and doesn't take much time.

We have seen a return on investment with HashiCorp Terraform.

HashiCorp Terraform's pricing depends on the way people use it. Not everyone uses the solution the way HashiCorp recommends to use it. HashiCorp Terraform goes by workspaces, and workspaces are more expensive than nodes. The nodes are cheaper.

People implement the solution in different ways. So you can use the solution with less money and make it cheaper, but that's not the recommended way. If you use the solution according to the recommended way by HashiCorp, it is more expensive.

I am using the latest version of HashiCorp Terraform.

I recommend users build the framework and the modules correctly right from the beginning. Then, build the workspace as recommended by HashiCorp. According to HashiCorp's recommendation, one workspace should exist per application or environment. That's how people need to build it.

Then, modularize everything and make custom modules for the organizations. Especially things that stay out of the application, like security, network, and compute, should be in separate modules. Later, they can be brought into the application.

Overall, I rate HashiCorp Terraform an eight out of ten.

We use the solution for three things. Firstly, to automate the infrastructure, like enabling Logpush to Datadog. Secondly, for Cloudflare AWS and Insight AWS. Thirdly, we use Terraform to create infrastructure.

It is one of the best things because now we have everything automated with Terraform. We didn't have an outage for the last three years because everything is written in a code, and every change we have made is recorded. If we didn't have a tool like Terraform, it would be extremely complex to achieve this level of maturity with infrastructure.

The state file is the most valuable feature because it helps one know what exactly one has.

The solution is complex when we use it for a loop. This is a problem, not because of the language itself, but because of how the infrastructure generally works. It's different from Python.

I have been using the solution for three and a half years.

It is a stable solution. I rate it nine out of ten.

The solution is not very scalable. I rate it six out of ten.

The initial setup is complex.

We have seen ROI with the tool's use. 

I plan to use the solution more in the future. I recommend people to use it as it is the best tool in the market at the moment to create infrastructure anywhere.

I rate it ten out of ten.

It enables us to create our cloud implementations without a technician needing to sign on to the cloud.

We are able to do multiple hybrid cloud implementations for clients that need to support Azure and AWS. 

It allows for the abstraction of the work away from the developer into automated processes. 

The reuse simplification is very good. 

It can enforce DevOps. 

It is stable. 

Technical support has been fine. 

The workflow and automation could be better.

The user interface could be easier for non-technical people. 

There's a learning curve involved with the setup; however, it is low to medium. 

I've used the solution for a long time. I've used it for 12 years at least. 

The stability is excellent. There are no bugs or glitches. It doesn't crash or freeze. 

It's not a customer-facing solution. We've never had an issue with it. However, it is not a primary concern of ours in terms of the ability to expand. 

Most business analysts and sometimes architects use the solution. We have 1700 people in our organization, and we are doing 100 projects at a time. Almost all of the projects require the use of the product. Half of the people are engaged in the solution in one way or another. We have about 750 people using it. 

Technical support is very good. 

The initial setup is very simple for the most part. 

The pricing is expensive. It's more for enterprise implementations. The cost is above average in general. 

We're a consulting company. 

I'd advise other users to automate to the greatest extent possible to get the best ROI.

I'd rate the solution nine out of ten, even though the workflow is not the strongest on the market. 

I am using the solution on AWS to scale our operations using Infrastructure as Code.

Terraform is the most useful product for creating Infrastructure as Code. It has a lot of consistency, and we can control it in code. It provides a self-service infrastructure.

The solution helps us save a lot of costs. The product’s integrations help us a lot.

The product must improve DevOps features.

I have been using the solution for about two years.

I never had any stability issues. I rate the stability a ten out of ten.

It is easy to scale the product. I rate the scalability a ten out of ten.

We use other solutions for security in DevOps.

The solution is deployed on the cloud. It is easy to deploy the solution. The documentation helps us a lot.

The tool has a lot of value. It pays for itself. We save a lot of time using the automation.

The solution is fairly priced.

We're still learning how to use DevOps with our SOC. We need to improve our use cases. The tool is helpful for us to keep the same standards throughout the cloud. Currently, I'm only using AWS. I'm planning to use Azure in a few months. I would advise people to start using the solution. It is a cheap tool and saves us a lot of work. Overall, I rate the product a ten out of ten.

HashiCorp Terraform does a good job and helps us set up all operations.

There are no specific valuable features as the whole product is good.

Terraform doesn't support Artifactory as a backend.

We have used this solution for about four years and are using the latest version.

It is a stable solution.

I am unsure about the scalability.

We have never used their technical support.

We have not used any other solutions.

I rate the solution a ten out of ten. HashiCorp Terraform is a rapid and promising tool.

We use HashiCorp Terraform for Infrastructure as Code. It automates the deployment of infrastructure within the Azure platform. Terraform can manage almost all aspects of infrastructure provisioning. If there are tasks that Terraform cannot perform directly, you can use the Azure CLI or other tools and call them from within Terraform scripts.

Terraform has extensive integrations across various platforms. It includes modules that enhance functionality and support for secure practices, such as Terraform Sentinel, which offers code analysis capabilities. Security logging and backend security are crucial, particularly regarding protecting sensitive information stored in the backend. Ensuring private endpoint usage is pivotal to safeguarding against potential vulnerabilities.

Terraform's strength lies in its modularity and the ability to use variables. You can organize your code within local and remote repositories, making it highly modular. This modularity allows you to call specific components as needed. Additionally, Terraform can toggle certain functionalities on or off through feature flags, a unique and powerful feature.

Terraform should monitor the backend storage more closely. You can handle it within Azure, but HashiCorp should release a dedicated tool to protect those secrets and ensure they're fully encrypted but this functionality is on its way for Terraform. They do have functionality that encrypts secrets and rotates which is great just like what Microsoft have and should be used in the wider community to safeguard public cloud systems

I have been using HashiCorp Terraform for five years.

The product is quite stable. You may not notice the updates, but you do see frequent changes in revisions because they've stabilized the platform. They've also introduced significant new versions and providers that work hand in hand with it. I don't encounter many errors that I can't fix straightforwardly. As an engineer, you receive error messages if you misconfigure things, and it informs you about that.

I rate the solution’s stability an eight out of ten.

The solution can scale to any size. It is suitable for SMEs.

I rate the solution’s scalability an eight out of ten.

Arm templates where difficult to managed initially and took a while to manage in nested calls and nested templates

The integration is straightforward. Simply download the binary, test it accordingly, and authenticate via Azure CLI. I've used the standard binary because it's free and widely adopted for technical infrastructure as code.

The initial setup is very straightforward. I set up a Python environment, brought in Terraform, and utilized it with YAML. Everything has to be securely done. You have to set up some pieces on the backend. It's straightforward to deploy: get the binary, set it up on the build agent, and configure the settings the way you need.

Inhouse Initially but I have learnt form other teams and vendors as all teams structure their code differently with best practices

We are using the free version of the solution.

Arm Templates and PowerShell Azure initially Pulumi (early days)

I've been working with HashiCorp Terraform recently and have deployed environments with it.OpenAI has released GPT Terraform, which Microsoft is heavily investing in. Generic modules are available for deployment. Azure AI Portal and AI Studio are useful tools for creating models. It's straightforward to perform service training and update models for input-output data.

HashiCorp Terraform has made handling modules and variables more secure. They've integrated key vaults to ensure secrets and backend storage are protected. Accessing the backend storage could potentially leak sensitive information if not properly encrypted.

I'm using GitHub Actions and Azure DevOps. Additionally, I'm exploring an older system within the team that will be set up to support.

If the setup is built on old infrastructure, the backend of Terraform works and stores. Vagrant works differently where it doesn't need to check with the infrastructure to see what's there or updated. You get an API call for deployment.

Overall, I rate the solution as eight out of ten.

We use it to deploy resources on AWS.

It's very easy to automate functions on the cloud with HashiCorp Terraform. The commands are easy as well.

The syntax is a bit difficult, and it would great if it could be easier.

I've been using HashiCorp Terraform for four and a half years.

HashiCorp Terraform is a stable solution. We have 15 people who use it in our organization.

The initial setup is straightforward and easy.

There are free and paid versions of the solution. We use the free version.

I would recommend HashiCorp Terraform and rate it at eight out of ten. I like that there is a free version of the product, but the coding could be easier.