Datadog Live Detroit How General Motors Scales Observability Across a Modern Automotive Platform
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Join Datadog and General Motors for a technical deep dive into building reliable, observable systems at enterprise scale.
Hear how GM’s engineering teams use observability to monitor complex, distributed workloads—from cloud infrastructure to vehicle-adjacent systems—and how you can apply the same principles in your own environment.
This event is designed for hands-on engineers, SREs, platform teams, and engineering leaders who want real-world insight—not marketing fluff.
You’ll walk away with:
- Practical observability patterns used by one of the world’s largest automotive manufacturers
- Architecture lessons for scaling monitoring across cloud-native and hybrid environments
- Actionable takeaways you can apply immediately to improve reliability, performance, and incident response
Speakers
David Brown
Observability Engineering Manager
General Motors
Shawn Tolidano
Site Reliability Engineer
General Motors
Agenda
Registration and Welcome
Modernizing the Cloud - Azure
General Motors Observability Fireside Chat + Q&A
Networking Reception & Live Demos
Enjoy light bites and refreshments while exploring Datadog and Azure product demos
RSVP
Tuesday, March 10
3:00 PM
By attending this event I acknowledge that I may be exposed to information which the Exhibitor, Datadog, Inc., considers confidential and wishes to limit the disclosure of. I hereby agree to keep such information confidential and to not disclose such information to any third parties. I further represent that I am not employed by a competitor of the Exhibitor and am not attending this Event with the intent to access any such confidential information or gain a competitive advantage for my employer. I hereby give permission to the Exhibitor to use my image, likeness, appearance, voice, and any written or spoken testimonials given by me in connection with the marketing and promotion of this Event and/or any Datadog products or Events.
By attending this event I acknowledge that I may be exposed to information which the Exhibitor, Datadog, Inc., considers confidential and wishes to limit the disclosure of. I hereby agree to keep such information confidential and to not disclose such information to any third parties. I further represent that I am not employed by a competitor of the Exhibitor and am not attending this Event with the intent to access any such confidential information or gain a competitive advantage for my employer. I hereby give permission to the Exhibitor to use my image, likeness, appearance, voice, and any written or spoken testimonials given by me in connection with the marketing and promotion of this Event and/or any Datadog products or Events.