AWS CloudFormation Reviews

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.

AWS CloudFormation lets me see all the infrastructure and its links clearly with code. I appreciate this ease in writing infrastructure with code, which provides an overview with text. It helps me visualize how AWS resources are linked and enhances my work efficiency.

Our primary use case involves using numerous AWS services, including EC2, S3, RDS, Lambda, and all databases. We are focused on migrating our Oracle on-premises systems to AWS cloud to optimize costs. A

dditionally, we are leveraging automation infrastructure as code practices using AWS CloudFormation and Terraform, alongside implementing FinOps practices for cost optimization.

Using AWS CloudFormation has given us the ability to automate and optimize our infrastructure, reducing manual efforts and improving efficiency, particularly in cost optimization and management of our cloud resources.

Our company uses the solution to provision AWS services for customers. 

Whenever a new environment comes into the picture, we make use cases. We determine private and public user instances, how many VPCs to create, how many security groups we need, and how many knuckles. We prepare templates and provision the environment based on documentation from the client side.

Automations make it pretty easy to provision AWS, development, or deployment environments. The automations save on time and costs. 

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

When we make changes in an infrastructure, we should ensure that we make the same changes in all environments. We must do careful observation. No matter how fast we do, there is no proper way of tracking. With AWS CloudFormation, any change is trackable. It is much more helpful.

Earlier, we used to face a lot of issues. Some things would work in dev but not in UAT. Some things would work in UAT but not in production. We must ensure that we make every change properly. Everything goes in the same flow along with the code.

I use AWS CloudFormation for deploying infrastructure on AWS. It is solely limited to AWS across multiple cloud platforms such as AWS, Azure, Google, and Oracle. I have used it to deploy various AWS services like Amazon S3, MongoDB, and others. To use it, I simply need to upload a template to an S3 bucket and then execute the deployment. CloudFormation is robust in its implementation, but if the decisions made during deployment are incorrect, it may result in deployment issues.

AWS CloudFormation is easy to use. The language it offers provides a choice between JSON and YAML, which are human-readable languages compared to other coding languages like Python or Java. One of the selling points of CloudFormation—it uses a familiar language, making it easy to read and troubleshoot.

The product uses a simple JSON file format, so it's easy for a beginner to start. But you can use Terraform once you get good hands-on experience and know the infrastructure and resources well.

Using JSON templates in AWS CloudFormation has improved my infrastructure management because it's simple. We can have these templates in multiple setup repositories, which makes it easy for us to collaborate at a specific level.

I prefer Terraform over AWS CloudFormation because AWS CloudFormation is specific to just AWS. But if I want to use a multi-cloud or hybrid setup, then Terraform works better. It uses a simple language, HCL. So, if you learn HCL, you can manage your infrastructures across different cloud providers. You don't need to be specific to one cloud provider.

I prefer Terraform over CloudFormation, so I would rather work with Terraform for deployments. It's easier and simpler to perform deployments with Terraform in my experience.

I am using CloudFormation to automate the infrastructure of AWS.

CloudFormation has helped automate the infrastructure in AWS, making the process more efficient.