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Engineering MLOps

You're reading from   Engineering MLOps Rapidly build, test, and manage production-ready machine learning life cycles at scale

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800562882
Length 370 pages
Edition 1st Edition
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Author (1):
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Emmanuel Raj Emmanuel Raj
Author Profile Icon Emmanuel Raj
Emmanuel Raj
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Framework for Building Machine Learning Models
2. Chapter 1: Fundamentals of an MLOps Workflow FREE CHAPTER 3. Chapter 2: Characterizing Your Machine Learning Problem 4. Chapter 3: Code Meets Data 5. Chapter 4: Machine Learning Pipelines 6. Chapter 5: Model Evaluation and Packaging 7. Section 2: Deploying Machine Learning Models at Scale
8. Chapter 6: Key Principles for Deploying Your ML System 9. Chapter 7: Building Robust CI/CD Pipelines 10. Chapter 8: APIs and Microservice Management 11. Chapter 9: Testing and Securing Your ML Solution 12. Chapter 10: Essentials of Production Release 13. Section 3: Monitoring Machine Learning Models in Production
14. Chapter 11: Key Principles for Monitoring Your ML System 15. Chapter 12: Model Serving and Monitoring 16. Chapter 13: Governing the ML System for Continual Learning 17. Other Books You May Enjoy

Chapter 10: Essentials of Production Release

In this chapter, you will learn about the continuous integration and continuous delivery (CI/CD) pipeline, the essentials of a production environment, and how to set up a production environment to serve your previously tested and approved machine learning (ML) models to end users. We will set up the required infrastructure for the CI/CD pipeline's production environment, configure processes for production deployments, configure pipeline execution triggers for complete automation, and learn how to manage production releases. This chapter will cover the essential fundamentals of the CI/CD pipeline and production environment since the pipeline is the product, not the model.

By learning about the fundamentals of CI/CD pipelines, you will be able to develop, test, and configure automated CI/CD pipelines for your use cases or business. We will cover an array of topics around production deployments and then delve into a primer on monitoring...

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