CI/CD and Change Control you own this product

basic CloudFormation • intermediate Python • basic AWS CLI • basic bash • intermediate knowledge of AWS accounts/Organizations
skills learned
AWS CodeBuild • AWS CodeCommit • StackSets • AWS CLI • pytest • CloudWatchEvents
Eric Kascic
1 week · 6-8 hours per week · INTERMEDIATE

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You’ve been hired by QryptoTremolo, a startup that’s been developing a set of next-generation financial services, to lower the risk of security breaches. The company has chosen to develop and operate in AWS. Its development teams have had unrestricted access to the AWS accounts, and ad hoc development has evolved organically, increasing the risk for security breaches. To uplevel security in these accounts, you’ll deploy CloudFormation templates and develop a suite of automated pytest tests to verify their configuration. Next, you’ll build a CI/CD CodeBuild pipeline that triggers on infrastructure changes and deploys and tests the changes across the organization. This change control automation will enable you to respond quickly—and confidently—to changing business needs.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Eric Kascic

Eric Kascic is a software developer with 25 years of professional experience. He has developed software solutions across a variety of business domains including telecommunications, medical imagery, and financial services. He has developed embedded, desktop, and server-side software, and has specialized in creating build, deployment, and test automation systems.

Since 2013, he has primarily focused on the AWS platform. At Stelligent, a boutique consulting firm that traditionally specialized in CI/CD, DevOps, and AWS automation, he developed CI/CD solutions for the AWS platforms of financial services companies. In developing infrastructure-as-code solutions, security was a primary focus. Eric invented the cfn_nag tool in 2016 to perform static analysis on CloudFormation templates to help customers prevent deploying unsecured AWS resources (such as those missing encryption or with overly permissive access).

He is currently a principal security engineer at a financial services company where he develops software to support security processes including automation of AWS IAM role creation, as well as a platform to detect and remediate insecure AWS resources across hundreds of accounts. Eric has published several articles relevant to security automation in AWS, including articles about cfn_nag, IAM, CloudFormation, and CI/CD.


This liveProject is for security engineers with intermediate experience in AWS and infrastructure as code. To begin these liveProjects you’ll need to be familiar with the following:

  • Python 3.7
  • AWS CLI 1.18
  • Bash 3
  • Boto3 1.18
  • pytest 6.2.0
  • Basic knowledge of *nix/bash command shell
  • Basic experience with CloudFormation
  • Basic experience with the AWS CLI
  • Intermediate knowledge of AWS accounts and AWS Organizations
  • Intermediate knowledge of Python 3 programming including: lists, dicts, loops, comprehensions, functions, conditionals
  • Basic understanding of cloud computing and the AWS platform
  • Basic understanding of "infrastructure as code"
  • Basic understanding of security concepts, especially compliance enforcement
  • Basic understanding of CI/CD principles will be helpful

Note: These exercises rely upon the AWS platform, which may carry usage costs.


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