Kubernetes for MLOps Engineers
According to a recent Gartner report,* by 2023, more than 70% of global organizations will be running more than two containerized applications in production.
With adoption of Kubernetes as the container orchestration standard growing just as rapidly, it is essential for anyone in a Machine Learning Engineering role to be fully versed in Kubernetes architecture, monitoring, scheduling and troubleshooting.
In this guide, you’ll discover:
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