Jenkins X is a new interface and chaining of tools that can automatically create and deploy continuous integration and continuous delivery (CI/CD) pipelines into any environment running a Kubernetes cluster.
Target audience:
• Jenkins users and administrators interested in expanding Jenkins knowledge
• Beginner and intermediate Developers
• QA Engineers
• Build and Release Engineers
• Technical Project Managers
• DevOps Engineers
Every student has assigned to him his own virtual lab environment setup.
Additional details:
To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser
We are a publicly traded company and proud of our achievements! We have developed a complex DevOps curriculum, highly appreciated by clients such as Adobe, UiPath, Avira, Atos, Vodafone because of its practical insights. Our DevOps seminars cover major technology areas, from networking programming and operating systems to Machine Learning and Artificial Intelligence
Jenkins X
840
DURATION: 2 days
SKILL LEVEL: Professional
LECTURES: 11 lessons
PRICE: 840 €
DURATION: 2 days
SKILL LEVEL: Professional
LECTURES: 11 lessons
Course description:
Jenkins X is a new interface and chaining of tools that can automatically create and deploy continuous integration and continuous delivery (CI/CD) pipelines into any environment running a Kubernetes cluster.
Target audience:
• Jenkins users and administrators interested in expanding Jenkins knowledge
• Beginner and intermediate Developers
• QA Engineers
• Build and Release Engineers
• Technical Project Managers
• DevOps Engineers
Every student has assigned to him his own virtual lab environment setup.
Additional details:
To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser
We are a publicly traded company and proud of our achievements! We have developed a complex DevOps curriculum, highly appreciated by clients such as Adobe, UiPath, Avira, Atos, Vodafone because of its practical insights. Our DevOps seminars cover major technology areas, from networking programming and operating systems to Machine Learning and Artificial Intelligence