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Kubernetes for MLOps and Data Engineering: Building Scalable Machine Learning and Data Systems
Paperback
Publisher: Independently Published
Published: Jun 14 2026
Pages: 110
Weight: 0.60
Height: 0.23 Width: 8.50 Depth: 11.00
Language: English
* Orchestrate data pipelines with modern cloud-native tools
* Implement Kubeflow, MLflow, Airflow, Spark, and Kafka workflows
* Automate CI/CD pipelines for machine learning systems
* Monitor, secure, and optimize production AI infrastructure
* Deploy distributed training and model serving at scale Packed with practical insights, industry best practices, and production-focused guidance, this book helps you bridge the gap between data science and reliable enterprise deployment. If you're ready to build resilient, scalable, and future-ready AI infrastructure, this book will give you the roadmap to get there. Get your copy today and start mastering Kubernetes for modern MLOps and Data Engineering.
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