Building custom Continuous Integration (CI) and Continuous Deployment (CD) workflows
Take control of project flows build Python, Ansible, and GoLang applications
Practice team collaboration methods for projects and advancing code
How Git and GitHub actions can trigger builds, testing, and deployment of container images to production environments, such as Azure App service, and Kubernetes
DAST and SAST tools relating to DevSecOps practices
AI LLM prompt engineering for relevant configuration snippets and solutions
Essential Skills Gained
Building custom Continuous Integration (CI) and Continuous Deployment (CD) workflows
Take control of project flows build Python, Ansible, and GoLang applications
Practice team collaboration methods for projects and advancing code
How Git and GitHub actions can trigger builds, testing, and deployment of container images to production environments, such as Azure App service, and Kubernetes
Format
4 day course with lecture and hands-on labs.
Audience
DevOps Engineers
Software Developers
Marketing and Sales Engineers
Telecommunications Professionals
Managers and Directors
Quality Assurance & Site Reliability Professionals
Description
This course covers what attendees need to design successful CI / CD pipelines using a variety of popular platforms including GitHub Actions, GitLab CI/CD, and Jenkins. Students will write a variety of code including Python and Ansible scripting, that will trigger a variety of automated behaviors upon git commits and pull (or merge) requests. Some of the triggered DevOps automations include testing, running scripts, building and releasing containerized services. DevSecOps paradigms include running security apps such as password and token detection, as well as other popular DAST and SAST tools.
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