cfn-python-lint
aws-iam-generator
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cfn-python-lint | aws-iam-generator | |
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20 | 1 | |
2,334 | 235 | |
0.9% | 0.0% | |
9.1 | 0.0 | |
6 days ago | almost 3 years ago | |
Python | Python | |
MIT No Attribution | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cfn-python-lint
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Managing low-code environments with AWS CloudFormation and Azure Resource Manager
Automate testing and validation: Before deploying your templates, it's important to test and validate them to ensure that they will work as expected. Use tools like AWS CloudFormation Linter and Azure Resource Manager Template Tester to automate this process.
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Alternatives to Terraform
Honestly I've had good luck writing clean Cloud Formation. It's AWS only. But Nested Stacks can help keep things pretty clean and tools like cfn-lint do a pretty good job of preventing you from going too crazy with spaghetti code. Additionally, as it's all json/yaml, you can parse it to look for common problems your organization wants to enforce. So you can ensure things like specific tags your roles/vpc etc..., or usage of an "approved" set of AMI, requiring an EKS/RDS cluster to be split across availability zones; they're all just a test in your CI pipeline away.
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Creating a Multi-Account CI/CD Pipeline with AWS CodePipeline
CodeBuild will run a linting check against the CloudFormation Template using cfn-lint and will then run cfn-nag to check for patterns that indicate insecure resources within the CloudFormation template.
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App with self-contained infrastructure on AWS
A linter for our AWSCloudformation stack called cfn-lint
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how did you get good at iac-cloudformation
cfn-lint and cfn_nag or other tools of that nature to check as you write so you don't need to continually try to deploy only to find that you've done something dumb.
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Validating cloudFormation templates
https://github.com/aws-cloudformation/cfn-lint as mentioned will do what you've explicitly called-out.
I use cfn-lint for this. Works great in a CI pipeline for example, and goes much further than just checking validity: it also checks all manner of good style etc…
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CloudFormation locally
cfn-lint can do basic validation and rule-based linting. Highly recommend using it even if it doesn't solve your problem.
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Source Control your AWS CloudFormation templates with GitHub
To help validate your AWS CloudFormation templates you can use a tool called cfn-lint.
aws-iam-generator
We haven't tracked posts mentioning aws-iam-generator yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
cfn_nag - Linting tool for CloudFormation templates
consoleme - A Central Control Plane for AWS Permissions and Access
aws-codebuild-docker-images - Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html
cloudformation-guard - Guard offers a policy-as-code domain-specific language (DSL) to write rules and validate JSON- and YAML-formatted data such as CloudFormation Templates, K8s configurations, and Terraform JSON plans/configurations against those rules. Take this survey to provide feedback about cfn-guard: https://amazonmr.au1.qualtrics.com/jfe/form/SV_bpyzpfoYGGuuUl0
terraform-aws-icons - Annotate Terraform graphs with AWS icons.
aws-toolkit-vscode - Amazon Q, CodeWhisperer, CodeCatalyst, Local Lambda debug, SAM/CFN syntax, ECS Terminal, AWS resources
rain - A development workflow tool for working with AWS CloudFormation.
terraforming - Export existing AWS resources to Terraform style (tf, tfstate) / No longer actively maintained
saml2aws - CLI tool which enables you to login and retrieve AWS temporary credentials using a SAML IDP
terratag - Terratag is a CLI tool that enables users of Terraform to automatically create and maintain tags across their entire set of AWS, Azure, and GCP resources
cfn-diagram - CLI tool to visualise CloudFormation/SAM/CDK stacks as visjs networks, draw.io or ascii-art diagrams.
configure-aws-credentials - Configure AWS credential environment variables for use in other GitHub Actions.