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Cut through alert noise and move from detection to root cause using the Azure Copilot Observability Agent. It autonomously investigates incidents, correlates signals across logs, metrics, alerts, application health, and ML anomalies, then surfaces root cause with charts and recommended next steps.
Extend coverage to your AI agents in Microsoft Foundry, track Gen AI errors and token consumption with trace-level detail, and write plain-language instructions to tune autonomous behavior to match your team's workflow.
Matt McSpirit, Microsoft Azure expert, shares how to take full control of incident response at scale.
► QUICK LINKS:
00:00 - Azure Copilot Observability Agent
00:43 - How to use it as you work
01:33 - Unified Full-Stack Telemetry
02:39 - Root Cause Investigation
04:12 - Investigate further
04:55 - Re-run the investigation
05:36 - Autonomous Alert Correlation & Triage
07:13 - Natural Language Agent Customization
07:34 - Wrap up
► Link References
Get started at https://aka.ms/ObservabilityAgent
► Unfamiliar with Microsoft Mechanics?
As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.
• Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries
• Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog
• Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast
► Keep getting this insider knowledge, join us on social:
• Follow us on Twitter: https://twitter.com/MSFTMechanics
• Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/
• Enjoy us on Instagram: https://www.instagram.com/msftmechanics/
• Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics
By Microsoft Mechanics4.2
2020 ratings
Cut through alert noise and move from detection to root cause using the Azure Copilot Observability Agent. It autonomously investigates incidents, correlates signals across logs, metrics, alerts, application health, and ML anomalies, then surfaces root cause with charts and recommended next steps.
Extend coverage to your AI agents in Microsoft Foundry, track Gen AI errors and token consumption with trace-level detail, and write plain-language instructions to tune autonomous behavior to match your team's workflow.
Matt McSpirit, Microsoft Azure expert, shares how to take full control of incident response at scale.
► QUICK LINKS:
00:00 - Azure Copilot Observability Agent
00:43 - How to use it as you work
01:33 - Unified Full-Stack Telemetry
02:39 - Root Cause Investigation
04:12 - Investigate further
04:55 - Re-run the investigation
05:36 - Autonomous Alert Correlation & Triage
07:13 - Natural Language Agent Customization
07:34 - Wrap up
► Link References
Get started at https://aka.ms/ObservabilityAgent
► Unfamiliar with Microsoft Mechanics?
As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.
• Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries
• Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog
• Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast
► Keep getting this insider knowledge, join us on social:
• Follow us on Twitter: https://twitter.com/MSFTMechanics
• Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/
• Enjoy us on Instagram: https://www.instagram.com/msftmechanics/
• Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

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