What is your primary use case for AWS CloudFormation?

I primarily use AWS CloudFormation for deploying infrastructure efficiently. For instance, if I want to create load balancers with target groups and EC2 instances, I find CloudFormation simplifies the process of deployment and configuration, reducing the possibility of errors.

I have used it to launch customer resources for them, and then I provide that template for them so that they can tear it down and bring it back up. For instance, I had a customer that needed a way to securely transfer files into AWS from their customer sites. So I created what they would need with CloudFormation and gave them that template and then instructions on how to use it.

We are currently using AWS CloudFormation to build the infrastructure stack for customers.

I use it to automate the creation of infrastructure using AWS CloudFormation templates. In my project, I must create infrastructure for SaaS-based applications hosted in the AWS cloud. Whenever I onboard a new customer, I need to create the same architectural infrastructure for them, as it's a multitenant architecture, so a lot of the setup remains the same.

AWS Cloud automation supports the creation of only AWS resources, and we use it to reduce the time needed to create resources. We create template files inside AWS CloudFormation to create multiple resources in AWS, such as EC2, S3, RDS, or Lambda functions. When we apply those files, the resources are created parallelly, reducing the time needed to create them.

We're using CloudFormation to deploy our Lambdas and infrastructure. We set up the configuration using the CloudFormation template.

Once we build a CloudFormation template, we use it regularly. We use the solution to build the backend infrastructure of Amazon Connect.

We use CloudFormation for infrastructure management. Since we only have read access to the AWS console, we rely on CloudFormation for any changes, such as creating or managing instances, storage, or IAM activities. As a DevOps engineer, I work with databases, compute services (like EC2), the Beanstalk stack, and Lambda functions. CloudFormation is our primary way to manage all those resources.

AWS CloudFormation is infrastructure as Code specific to AWS. It allows companies invested in AWS to codify their infrastructure, enabling faster deployment, tracking drift, and gaining visibility into the environment through the templates. This facilitates easy deployment in different regions.

We use AWS CloudFormation to automate our deployment processes within the AWS environment. It makes the process easier to manage.

AWS CloudFormation is an IaC tool. We use it for the creation or modification of the entire environment.

It serves as an automation framework for deploying infrastructure by using templates.

I use AWS CloudFormation to create various types of resources like app servers, web servers, and S3 buckets. I know how to deploy these resources and understand how CloudFormation works, including best practices and different configuration options.

It helps to automate the process of creating and managing AWS resources. It allows defining the infrastructure as code using templates, which describe the desired state of the infrastructure. This approach makes it easy to replicate environments, track changes, and perform repeatable deployments.

I use AWS CloudFormation to automate my infrastructure, especially with DevOps engineering.

We use AWS CloudFormation to build resources.

The solution provides the most simplified way of managing resources.

We use AWS CloudFormation for any migration tasks, such as service catalog services, Amazon EC2 instances, and load balancers. The solution can be deployed on-premise, such as in data centers, and on the cloud, such as VPNs and gateways.

We support multiple internal developers and deploy and create new S3 buckets for them. We create new users and groups and also create the SNSQS for them. We also support multiple services like creating the Lambda function and have a principle of maintaining the correct privilege for the user. So we manage the AWS service in our organization and deploy the AWS CloudFormation templates to create that kind of AWS service.

I create cloud infrastructure using CloudFormation. It helps us a lot to manage or monitor the whole infrastructure.

We use CloudFormation for deploying solutions. It's tested manually and then we write a script for CloudFormation. We then copy all the configurations that are needed to automate the process of bringing it to the cloud.

AWS CloudFormation is being used for landing zone creation and DR purposes.

We use this solution for application hosting and utilize the caching mechanisms.

CloudFormation drives most of our AWS configuration. It is the configuration engine for our whole footprint. Literally, everything that we configure in AWS is configured in CloudFormation. We are using its latest version.

We use it for deploying all the Infrastructure: VPCs, EC2 instances, storage solutions, most managed services. Providing IAM configuration, providing group account configurations, role management within IAM. CloudFormation is THE Infrastructure as Code (IaC) solution AWS recommends. Almost everything should, according to AWS, be automated and managed using CloudFormation - whenever possible. Within our organization, mostly the DevOps engineers use AWS CloudFormation — around 42 of them.

We primarily use the solution for creating automated blueprints for deploying machines, infrastructure as a service, and platform as a service.

We are a computer consulting company and AWS CloudFormation is one of the solutions that we provide to our customers. CloudFormation is definitely an integral part of AWS Native solutions. It is used for setting up your environment, such as your DNS structure. If something happens in your current environment, such as a disaster, then you can bring up the environment in another region by using the CloudFormation template. Essentially, it is a tool that is used for automating cloud deployment.