Level up your CloudFormation usage with these 4 tips

• aws-cloudformation-resource-providers-cloudformation

  1 45 5.4 Java

  The CloudFormation Resource Provider Package For AWS CloudFormation

  

Resource Providers work similar to Custom Resources, and you will not see a big difference in your templates. They should be easier to manage, though (once they can be deployed with CloudFormation – the CloudFormation team is actively working on that). When you write your own Resource Provider, you also implement and expose a Read and List handler. This new approach gives you almost the same capabilities as a native CloudFormation resource.

• cfn-python-lint

  20 2,352 9.2 Python

  CloudFormation Linter

  

One of the best ways to increase your CloudFormation productivity is to minimize the time you’re waiting on a stack that failed to deploy. A great way to do that is to use cfn-lint to make sure you don’t start the deploy if there are errors in your template.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• cloudformation-guard

  20 1,241 8.7 Rust

  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

  

Other tools like cfn-nag, cfn-guard, or taskcat will help you write secure, compliant, and region-independent templates, respectively. Cfn-lint is the one that will save you the most time when authoring templates by flagging misconfigurations, invalid properties, and misformatted templates. It also is easy to integrate into your IDE, pre-commit, or a CI/CD pipeline.

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