YAML (Yet Another Markup Language) is a data serialization language that is widely used to configure modern cloud-based systems, tools, and software applications. YAML is known for being more human friendly than alternative textual data formats such as JSON or XML.
Learning how to use YAML in different scenarios will make you more effective at configuring and deploying new systems and tools.
In this lab, you will examine some practical examples of YAML configuration, and you will learn some advanced techniques to make using YAML more effective.
Learning Objectives
Upon completion of this beginner level lab, you will be able to:
- Identify when a file contains more than one YAML document
- Use the Python scripting language to validate a YAML file
- Reuse data in a YAML file using anchors and aliases
- Control how line endings are handled in YAML strings
Intended Audience
- Cloud Architects
- Data Engineers
- DevOps Engineers
- Software Engineers
Prerequisites
Familiarity with the following will be beneficial but is not required:
- YAML
- Python
The following courses and labs can be used to fulfill the prerequisites:
Andrew is a Labs Developer with previous experience in the Internet Service Provider, Audio Streaming, and CryptoCurrency industries. He has also been a DevOps Engineer and enjoys working with CI/CD and Kubernetes.
He holds multiple AWS certifications including Solutions Architect Associate and Professional.