Ship faster. Stress less. Idea to ops
summary
Azure demonstrates end-to-end agentic DevOps: the Azure MCP server (GA, covers 47 services, ships in Visual Studio 2026 and VS Code) gives LLMs access to subscription context, control- and data-plane operations, IaC and CLI tools; the coding agent runs async tasks tied to repos (AZD coding agent config sets secure MCP access); the SR agent automates incident triage and remediation, claims ~95% automation initiation, touches tens of thousands of tickets in 90 days and auto-scales container apps, gathers logs, opens GitHub issues and assigns the coding agent.
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chapters (13)
- 0:00Welcome & Introduction: Azure DevTools and Agentic DevOps
- 0:40What is Agentic DevOps? From AI-Infused to AI-Native
- 1:04Key Concepts: Productivity Across the Software Lifecycle
- 2:01Deep Dive: Azure MCP Server Overview and Capabilities
- 3:21Announcement: Azure MCP Server GA and Visual Studio Integration
- 4:16Real-World Use Case: Best Practices and Performance Insights
- 6:42Build & Maintain: Coding Agent + Azure MCP Integration
- 7:57Developer Workflow: Async Tasks and Real-World Scenarios
- 9:22Operate Phase: Introducing the SR Agent for Incident Management
- 11:03SR Agent Features: Knowledge Base, Incident Automation, MCP Support
- 14:15Real-World Impact: Time Savings and Automated Issue Resolution
- 19:22New Capabilities: Sub-Agent Builder, Scheduling, Debug View
- 23:43Recap: End-to-End Agentic DevOps with Azure and GitHub Copilot
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