Implementing DevSecOps (LFS262)
DevSecOps practices are an extension to standard DevOps practices, focusing on automating security and incorporating it as part of the process, which includes Continuous Delivery, Infrastructure-as-Code (IaC), and observability. Use of DevSecOps results not only in delivering safer code faster, but also facilitates early feedback to developers, helping them build more reliable software. This course explores implementing DevSecOps practices into the software delivery pipeline using open source software.
What You’ll Learn
This course begins by laying the foundation of DevSecOps, explaining the principles, practices, cultural aspects and tooling landscape. It then goes on to show you how to incorporate various practices into the Continuous Delivery pipeline: perform Software Composition Analysis (SCA) and add it to the Continuous Integration pipeline, perform static code analysis and project gating using SAST tools, implement security best practices while writing Dockerfiles to build images, scan container images for vulnerability, perform Dynamic Application Software Testing (DAST) on a live environment, set up a centralized vulnerability management system to provide visibility and alerting, and build a cloud native DevSecOps pipeline. You will also use IaC effectively to enforce compliance, collect logs, analyze events to provide detection and monitoring of security issues, and learn to address cloud and container related risks. In order to make adoption of DevSecOps practices frictionless, this course focuses on usage of mostly open source software, at the same time providing enough flexibility to plug in a commercial alternative to match the implementation environment.
Prerequisites:
To make the most out of this course, you will need to:
- Have working knowledge of Linux operating systems and the command line interface, Git, Docker, and Kubernetes.
- Know how to build CI/CD pipelines, write Infrastructure-as-Code (IaC), run Ansible Playbooks, and understand observability concepts such as log management and monitoring.
Lab Info:
To perform the hands-on lab exercises in this course, learners will need internet access, a web browser, Git, and a cloud provider account (e.g., Google Cloud Platform or AWS).If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider, or if the cloud provider’s terms and conditions change.
Chapter 1. Course Introduction