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Duration 14 hours
Course Outline
Getting Started with Kubiya AI
- High-level overview of Kubiya AI
- Primary features and advantages
- Relevant use cases in DevOps
Deployment and Configuration
- Installation processes and setup
- Preparing the operational environment
- Initial configuration steps
Core Use Cases and Applications
- Streamlining routine tasks
- Leveraging Kubiya AI for monitoring and alerts
- Optimizing CI/CD pipelines
Seamless Integration with DevOps Ecosystems
- Connecting with CI/CD tools (Jenkins, GitLab CI, etc.)
- Linking with cloud platforms (AWS, Azure, GCP)
- Utilizing Kubiya AI alongside container orchestration tools (Kubernetes, Docker)
Advanced Setup and Tailoring
- Sophisticated workflow automation
- Customizing Kubiya AI to meet specific requirements
- Addressing security and compliance needs
Practical Project Work
- Setting up real-world projects
- Hands-on implementation and validation
- Troubleshooting strategies and performance tuning
Conclusion and Future Directions
Requirements
- A solid grasp of DevOps principles
- Familiarity with CI/CD pipelines
- Foundational knowledge of cloud infrastructure
Target Audience
- DevOps practitioners
- 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