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Generative AI and the next AIOps frontier

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Manage episode 476178872 series 3564930
Content provided by Informa TechTarget. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Informa TechTarget or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Alois Reitbauer is chief technology strategist, head of open source and the leader of research at observability vendor Dynatrace. He is a contributor to CNCF open source standards such as the Keptn event-driven orchestration project and OpenFeature for feature flag management. His Dynatrace bio also describes him as "a regular conference speaker, blogger, book author and sushi maniac." He reflects on the evolution of AIOps before and after generative AI, and discusses the work still being done to help large language models better generate infrastructure code in response to incidents.

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34 episodes

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Manage episode 476178872 series 3564930
Content provided by Informa TechTarget. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Informa TechTarget or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Alois Reitbauer is chief technology strategist, head of open source and the leader of research at observability vendor Dynatrace. He is a contributor to CNCF open source standards such as the Keptn event-driven orchestration project and OpenFeature for feature flag management. His Dynatrace bio also describes him as "a regular conference speaker, blogger, book author and sushi maniac." He reflects on the evolution of AIOps before and after generative AI, and discusses the work still being done to help large language models better generate infrastructure code in response to incidents.

  continue reading

34 episodes

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