The hands-on lab is part of these learning paths
Ready for the real environment experience?
A key practice in DevOps is to manage Infrastructure as Code (IaC) allowing repeatable deployments across environments. Having IaC brings the benefits of static code analysis tools to infrastructure. Static analysis tools can automatically detect issues in your infrastructure, including security gaps, before you ever deploy the infrastructure. This Lab will illustrate static analysis and alerting for IaC, using Terraform as an example IaC framework. You will use static analysis tools to analyze Terraform configurations and automate the process in a continuous integration pipeline using a Git repository, Jenkins automation server, and Amazon Simple Notification Service (SNS).
Upon completion of this Lab, you will be able to:
- Explain the benefits of static analysis for IaC
- Understand how to automate the use of static analysis tools
- Configure automated static analysis of IaC in a continuous integration pipeline in Jenkins
- Configure automated alerting of static analysis issues using Jenkins and Amazon SNS
You should be familiar with:
- IaC concepts and at least one IaC tool
- Compute and Network concepts in AWS or other public clouds
- Amazon SNS basics are useful but not required
- Basic Docker concepts and command knowledge are useful but not required
Before completing the Lab instructions, the environment will look as follows:
After completing the Lab instructions, the environment should look similar to:
January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab
September 6th, 2018 - Resolved an issue with the Jenkins SNS Notifier not emailing the correct build url (
About the Author
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Linux Foundation Certified System Administrator (LFCS). He earned his Ph.D. studying design automation and enjoys all things tech.