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9min chapter
Observability & Engineering Management, with Charity Majors
Kubernetes Podcast from Google
Importance of Understanding Engineering Management and Observability in AI and ML Workloads
This chapter emphasizes the significance of learning about engineering management for all professionals, not just those on a management track, to effectively communicate with managers and support team well-being. It also discusses observability tools like Honeycomb.io, showcasing Observability 2.0 for better question answering. Moreover, it touches on monitoring resources efficiently for AI and ML workloads, proposing the building of LLM gateways within Kubernetes and the need to manage traffic specific to LLMs for quality assurance and scaling.
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Discover
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