Kubiya AI for Cloud Operations Training in Metro Manila, Philippines

This training is designed to help DevOps, SRE, and cloud operations teams use Kubiya AI to automate, manage, and interact with cloud infrastructure through a conversational interface. Participants will learn how to integrate Kubiya with their cloud tools, streamline operational workflows, and build secure, scalable automation powered by natural language.

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