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Deploying Secure Data Science Applications in the Cloud: From VMS to Serverless with AWS and Google Cloud
Paperback
General ComputersProbability & StatisticsProgramming
Publisher Price: $44.99
Publisher: Apress
Published: Oct 22 2025
Pages: 324
Weight: 1.32
Height: 0.72 Width: 7.00 Depth: 10.00
Language: English
- Deploy end-to-end data science applications with a strong foundation in cloud infrastructure setup, including VM provisioning, SSH access, security groups, SSL configuration, load balancers, and domain management for secure, real-world deployments Use industry-known tools such as Docker, Nginx, Flask, Streamlit, and Jenkins to build secure, scalable services Understand how to structure and expose machine learning models via APIs for production use Explore modern serverless architectures with AWS Fargate and Google Cloud Run to scale efficiently with minimal overhead Develop a cloud deployment mindset grounded in doing things from scratch--before adopting abstracted solutions
Who This Book Is For
Beginning to intermediate professionals with a basic understanding of Python, including Data Scientists, ML Engineers, Data Engineers, and Data Analysts who aim to securely deploy their projects in production environments, and individuals working on both personal projects and enterprise-level solutions, leveraging AWS and Google Cloud setups
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