TAYLLORCOX > Akademie > Linux Foundation > DevOps and SRE Fundamentals: Implementing Continuous Delivery

DevOps and SRE Fundamentals: Implementing Continuous Delivery

This course introduces the fundamentals of Continuous Integration/Continuous Delivery (CI/CD) within an open container ecosystem and takes a project-based approach to help you understand and implement key practices. Key learnings include the role played by Docker and Kubernetes, using Git for revision control, how to install and configure Jenkins as a Continuous Integration platform, enforcing development workflows as code reviews, application packaging and distribution with Docker and Docker Registry using Argo CD to set up a deployment pipeline and much more.

Termíny
Target group
Course structure
Lab info

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Target group

This course is for developers who would like to learn how to deliver software safer, faster and reliably; for quality analysts who would like to set up automated testing, leverage disposable environments, and integrate it with CI tools; for operations engineers, system administrators, DevOps/SRE practitioners responsible for deploying software and managing production environments; and build and release engineers who would like to learn how to deploy software safely and continuously.

Course structure

Chapter 1. Introduction
Chapter 2. What and Why of CI/CD
Chapter 3. Setup: Exploring and Creating Our Learning Environment
Chapter 4. Basics of Container Operations with Docker
Chapter 5. Version Control with Git
Chapter 6. Setting Up Continuous Integration with Jenkins
Chapter 7. GitHub Branch Policies & Pipeline as Code with Jenkinsfile
Chapter 8. Using Docker with Jenkins Pipelines
Chapter 9. Docker Images
Chapter 10. Launching a Multi-Service Application with Docker Compose
Chapter 11. Automated Code Analysis
Chapter 12. SRE and Deploying a Scalable Application to Kubernetes
Chapter 13. SRE. GitOps and CD with Argo CD

Lab info

To successfully complete the lab exercises in this course, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Detailed instructions to set up your lab environment are provided in the course.

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.

To make the most out of this course, you will need to have: