The Role of AI in DevOps: Observability, Security, and Efficiency - DevOps 194

The Role of AI in DevOps: Observability, Security, and Efficiency - DevOps 194
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28 mar 2024 · 1 h 9 min. 59 sec.

Andreas Grabner is the DevOps Activist at Dynatrace, DevRel for CNCF Keptn, CNCF Ambassador, and PurePerformance Podcast host. They dive into the world of DevOps, platform engineering, and the latest...

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Andreas Grabner is the DevOps Activist at Dynatrace, DevRel for CNCF Keptn, CNCF Ambassador, and PurePerformance Podcast host. They dive into the world of DevOps, platform engineering, and the latest developments in technology. In this episode, they explore the impact of AI in DevOps, the significance of observability tools, and the potential security risks associated with AI-generated code. They delve into the challenges of running open-source projects in containers and the importance of using commercial solutions to solve complex engineering problems. They also discuss the evolution of software engineering education, the role of platform engineering in enterprise-scale DevOps, and the necessity of understanding underlying mechanisms and optimizing for specific use cases. Join them as they explore the cutting-edge technologies and industry insights that are shaping the future of DevOps and platform engineering.
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Autore Charles M Wood
Sito topenddevs.com
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