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Microsoft AI Tour 2026: Improving Ops with Copilot in Azure and GitHub Copilot
Access post-session resources for WRK570 Improving Ops with Copilot in Azure and GitHub Copilot, including the workshop slide deck, session delivery recording, prompt checklist, and proctor cheat sheet.
Shaheryar Syed
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Missed the Live Session? We've Got You Covered.
This workshop has wrapped, but every resource is ready for you to explore at your own pace. Whether you missed the live session or want to revisit key concepts, we've got you covered.
“I need answers fast during incidents” → Diagnose operational issues with Copilot in Azure
When you need to quickly understand what changed, what’s unhealthy, and where to look next, you’ll practice structured operational analysis inside the Azure portal using Copilot in Azure.
What you’ll do (hands-on):
Run Resource Group Analysis tasks such as querying recent changes, checking service health, and checking AKS health (initial).
Perform AKS-specific analysis by navigating to the AKS resource to check cluster health, discover workloads, and find public services (general and specific).
Do Operational Monitoring steps including generating a failure detection query, monitoring resource usage, accessing application logs, and understanding health checks.
Outcome alignment (from the session): You’ll use Copilot in Azure to streamline operational tasks and get actionable insights.
“We keep getting surprised by resiliency gaps” → Assess and improve infrastructure resilience
If your goal is to spot resiliency risks before they become outages, the workshop includes explicit resilience analysis activities in the Azure portal.
What you’ll do (hands-on):
Complete a Zone Redundancy Assessment by returning to the resource group and checking zone redundancy.
Get AKS resilience recommendations by returning to the AKS resource, then check availability zones and learn about zone enablement.
Outcome alignment (from the session): You’ll develop infrastructure resilience through AI-driven recommendations.
“Our CI/CD hardening is too manual” → Use GitHub Copilot to enhance CI/CD security
When you want to reduce manual effort and improve consistency in pipeline and container security, you’ll apply GitHub Copilot within the workshop’s CI/CD enhancement segment.
What you’ll do (hands-on):
Set up your environment by forking the AKS Store Demo project, opening Visual Studio Code, creating a branch, and signing in to GitHub in VS Code.
Enhance container security by opening a workflow file, improving security, and updating the Dockerfile.
Deploy the enhanced pipeline by committing/pushing via VS Code and monitoring the build.
Outcome alignment (from the session): You’ll guide GitHub Copilot to enhance CI/CD security and reduce manual configuration effort.
“We need repeatable, scalable ‘AI-assisted ops’” → Turn prompts and outputs into reusable playbooks (IaC + bonus tooling)
To make AI assistance repeatable, the workshop includes both prompt-driven work and artifacts you can carry forward (like infrastructure-as-code outputs and structured follow-up steps).
What you’ll do (hands-on):
Generate Infrastructure as Code from the Azure portal by producing an AKS Bicep template, Terraform configuration, and tagging scripts (PowerShell and Azure CLI).
Apply prompt techniques that support troubleshooting and infrastructure tasks across the workshop steps.
Bonus steps (for fast movers or post-event exploration):
Use the Playwright MCP Server to create smoke tests.
Use AI Shell to bring Copilot in Azure into your shell.
Bring Azure into VS Code with the GitHub Copilot for Azure extension.
Improve Infrastructure as Code with the Terraform MCP server.
Outcome alignment (from the session): You’ll build effective prompts for AI assistance to accelerate operational troubleshooting and infrastructure work.
