Kubernetes Security Fundamentals
This course provides the skills and knowledge to maintain security in dynamic, multi-project environments and address security concerns for cloud production environments. Through hands-on labs, you will learn a range of security best practices for container-based applications and Kubernetes platforms. The course covers the entire security lifecycle, from supply chain security before cluster configuration to ongoing monitoring and logging of security events. It is designed to prepare you for the Certified Kubernetes Security Specialist (CKS) certification exam.
Ce que vous allez apprendre
- Learn to maintain security in dynamic, multi-project environments
- Address security concerns for cloud production environments
- Use hands-on labs to learn security best practices for container-based applications and Kubernetes platforms
- Gain key knowledge and skills related to the Certified Kubernetes Security Specialist (CKS) certification exam
Prérequis
- A good understanding of Linux
- Familiarity with the command line
- Familiarity with package managers
- Familiarity with Git and GitHub
- Proficiency working with Kubernetes (the equivalent of being CKA-certified)
Public cible
- Anyone holding a CKA certification, Anyone interested in or responsible for cloud security
Programme de la Formation
10 modules pour maîtriser les fondamentaux
Sujets abordés
- →The Linux Foundation Certifications
- →The Linux Foundation Digital Badges
- →Laboratory Exercises, Solutions and Resources
- →Things Change in Linux and Open Source Projects
- →E-Learning Course: LFS260
- →Platform Details
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
Former plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance