Static Analysis and Alerting for Infrastructure as Code

The hands-on lab is part of these learning paths

DevOps Engineer – Professional Certification Preparation for AWS
course-steps 35 certification 5 lab-steps 18 quiz-steps 2 description 3
DevOps Playbook - CI/CD Tools and Services
course-steps 5 certification 2 lab-steps 5
Solving Infrastructure Challenges with Terraform
course-steps 1 certification 1 lab-steps 5

Lab Steps

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Logging in to the Amazon Web Services Console
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Opening the AWS Cloud9 IDE
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Understanding the Infrastructure as Code Project
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Using Terraform's Built-In Analysis Capabilities
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Working with TFLint
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Working With Terrascan
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Configuring the Jenkins Automation Server
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Triggering Jenkins Builds
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Creating and Subscribing to an SNS Topic
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Receiving Build Alerts
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Validate AWS Lab

Ready for the real environment experience?

DifficultyIntermediate
Max Duration2h
Students450
Ratings
4.6/5
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Description

Lab Overview

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).

Lab Objectives

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

Lab Prerequisites

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

Lab Environment

Before completing the Lab instructions, the environment will look as follows:

After completing the Lab instructions, the environment should look similar to:

Updates

April 25th, 2019 - Updated Jenkins version and resolved issue causing the prior version to be very slow to start

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 (${BUILD_URL})

About the Author

Students35180
Labs95
Courses11
Learning paths7

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, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Linux Foundation Certified System Administrator (LFCS), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.

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