GitLab Advanced CI/CD Training
This advanced class extends the knowledge and concepts of the foundational CI/CD class, adding the skills needed to implement CI/CD best practices across more complex use cases. Throughout this hands-on session, participants will explore GitLab CI/CD features like feature flags, review apps, canary deployments, and runner scaling/distribution strategies. The curriculum covers additional configuration options such as multi-project pipelines, merge trains, and environment management. Optimization techniques like fail-fast testing, parallelization, and reference tags are examined for enhancing efficiency. Revisiting best practices and troubleshooting strategies round out the content, equipping learners to implement CI/CD pipelines leveraging the full scope of GitLab's capabilities.
Ce que vous allez apprendre
- Implement CI/CD best practices for complex use cases
- Explore GitLab CI/CD features like feature flags, review apps, and canary deployments
- Understand runner scaling and distribution strategies
- Configure multi-project pipelines, merge trains, and manage environments
- Apply optimization techniques like fail-fast testing and parallelization
- Utilize advanced features like extends, hidden jobs, anchors, and reference tags
- Troubleshoot complex CI/CD pipeline issues
Prérequis
- Topics covered in the GitLab CI/CD training or equivalent experience with GitLab
- This class is not appropriate for students with no CI/CD or GitLab knowledge
- Computer with internet access and Git installed
Public cible
- Development teams, Quality assurance teams, Release engineers
Programme de la Formation
9 modules pour maîtriser les fondamentaux
Sujets abordés
- →Quick review of GitLab CI/CD class concepts
- →Overview of what will be covered and the lab scenario
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Prochaines sessions
Aucune date ne vous convient ?
Nous organisons régulièrement de nouvelles sessions. Contactez-nous pour connaître les prochaines dates disponibles ou pour organiser une session à la date de votre choix.
S'inscrire à une date personnaliséeFormer plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance