The hands-on lab is part of these learning pathsSee 1 more
Ready for the real environment experience?
Static analysis tools can perform a variety of checks to improve the quality of your code without needing to execute the code. Examples of checks performed by static analysis tools include the following:
- Consistent code style
- Identifying resource leaks
- Incorrect usage of APIs
- Security vulnerabilities
Upon completion of this Lab, you will be able to:
- Understand the benefits of static code analysis
- Integrate static code analysis into an AWS CodePipeline continuous deployment pipeline
You should be familiar with:
- Basic continuous integration concepts
- Working at the command line in Linux
Before completing the Lab instructions, the environment will look as follows:
After completing the Lab instructions, the environment should look similar to:
December 18th, 2019 - Updated the source code to reduce the number of errors detected by ESLint
May 13th, 2019 - Updated to Node.js 10 to resolve an issue causing failed application builds and updated screenshots and instructions to reflect the new experience
January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab
January 2nd, 2019: Fixed an issue that caused the application deployment to occasionally fail during the Lab startup routine
October 1st, 2018: Further constrained the webpack Node.js package version to avoid a bug introduced in version 4.20 of webpack that prevented the Lab application from building correctly.
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.