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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

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