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Course Outline
Getting to know Kubiya AI
- High-level view of Kubiya AI
- Core features and key benefits
- Practical DevOps use cases
Deploying Kubiya AI
- Installation and initial setup
- Preparing the environment
- Initial configuration steps
Foundational Use Cases and Applications
- Streamlining routine tasks
- Monitoring and alerting via Kubiya AI
- Optimizing CI/CD pipelines
Connecting Kubiya AI to Current DevOps Tools
- Integration with CI/CD platforms (Jenkins, GitLab CI, etc.)
- Linking with cloud providers (AWS, Azure, GCP)
- Utilizing Kubiya AI alongside container orchestration (Kubernetes, Docker)
Advanced Setup and Personalization
- Complex workflow automation
- Tailoring Kubiya AI to specific requirements
- Addressing security and compliance needs
Practical Projects
- Setting up a real-world scenario
- Hands-on implementation and testing
- Debugging and performance tuning
Recap and Future Steps
Requirements
- Familiarity with core DevOps principles
- Practical experience with CI/CD pipelines
- Fundamental grasp of cloud infrastructure
Intended Audience
- DevOps practitioners
- IT leadership
- System administrators
14 Hours
Testimonials (2)
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