Foundation and Setup
Introduction to Kubiya AI in Cloud Operations
- Overview of Kubiya AI for ops teams
- Benefits of conversational
interfaces for cloud workflows
- Real-world examples (incident
response, environment setup, access requests)
Getting Started with Kubiya
- Setting up your workspace
- Linking with Slack, Microsoft
Teams, or CLI
- Overview of agents, commands, and
skills
Cloud Integrations – AWS, GCP, Azure
- Connecting cloud accounts securely
- Using cloud-specific Kubiya skills
- Setting up secrets and credentials
Workflow Automation and DevOps Use Cases
Building Conversational Workflows
- Creating workflows for multi-step
operations
- Adding conditions, approvals, and
error handling
- Variables and parameter
customization
DevOps and CI/CD Automation
- Triggering deployments via Kubiya
- Approving PRs or rollbacks in
GitHub/GitLab
- Restarting services or running
tests through chat
Monitoring, Alerting, and Incident Response
- Connecting monitoring tools (e.g.,
Datadog, PagerDuty)
- Setting up alert-based workflows
- Handling incidents and capturing
logs via chat
Security, Governance, and Final Project
Access Management and Approvals
- Role-based access and permissions
- Approval flows for sensitive tasks
(e.g., DB reset, access grant)
- Audit logging and compliance
tracking
Cost Optimization and Usage Insights
- Automating cost reports and budget
alerts
- Managing unused resources via
conversation
- Scheduled automation for cleanup
tasks
Wrap-Up and Future Learning
- Best practices for scale and team
adoption
- Kubiya roadmap, extensions, and
plugins
- Final Q&A and feedback
