Course Outline
Introductory Overview of Kubiya AI
- General overview of the Kubiya AI platform
- Primary features and associated benefits
- Practical applications within DevOps
Deployment and Setup of Kubiya AI
- Installation processes and configuration details
- Establishing the necessary environment
- Initial setup and configuration steps
Fundamental Use Cases and Applications
- Automating repetitive and routine tasks
- Leveraging Kubiya AI for monitoring and alerting
- Optimizing CI/CD pipelines
Connecting Kubiya AI to Current DevOps Tools
- Integration with CI/CD tools (such as Jenkins, GitLab CI, etc.)
- Linkage with major cloud platforms (AWS, Azure, GCP)
- Utilizing Kubiya AI alongside container orchestration tools (Kubernetes, Docker)
Sophisticated Configurations and Personalizations
- Advanced levels of workflow automation
- Tailoring Kubiya AI to meet specific organizational needs
- Addressing security and compliance requirements
Practical, Hands-On Projects
- Setting up realistic, real-world projects
- Executing practical implementation and testing phases
- Identifying issues and optimizing performance
Recap and Future Directions
Requirements
- A solid grasp of DevOps principles
- Familiarity with CI/CD pipelines
- Fundamental understanding of cloud infrastructure
Intended Audience
- DevOps specialists
- IT managers
- System administrators
Testimonials (3)
Craig was extremely involved in the training, always making sure we are paying attention, adapted the examples to our day-to-day activities and always provided an answer when asked, even if the information was not added in the presentation.
Ecaterina Ioana Nicoale - BOOKING HOLDINGS ROMANIA SRL
Course - DevOps Foundation®
High level of commitment and knowledge of the trainer
Jacek - Softsystem
Course - DevOps Engineering Foundation (DOEF)®
real life examples