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The Machine Learning Solutions Architect Handbook

You're reading from   The Machine Learning Solutions Architect Handbook Create machine learning platforms to run solutions in an enterprise setting

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801072168
Length 442 pages
Edition 1st Edition
Languages
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Author (1):
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David Ping David Ping
Author Profile Icon David Ping
David Ping
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Solving Business Challenges with Machine Learning Solution Architecture
2. Chapter 1: Machine Learning and Machine Learning Solutions Architecture FREE CHAPTER 3. Chapter 2: Business Use Cases for Machine Learning 4. Section 2: The Science, Tools, and Infrastructure Platform for Machine Learning
5. Chapter 3: Machine Learning Algorithms 6. Chapter 4: Data Management for Machine Learning 7. Chapter 5: Open Source Machine Learning Libraries 8. Chapter 6: Kubernetes Container Orchestration Infrastructure Management 9. Section 3: Technical Architecture Design and Regulatory Considerations for Enterprise ML Platforms
10. Chapter 7: Open Source Machine Learning Platforms 11. Chapter 8: Building a Data Science Environment Using AWS ML Services 12. Chapter 9: Building an Enterprise ML Architecture with AWS ML Services 13. Chapter 10: Advanced ML Engineering 14. Chapter 11: ML Governance, Bias, Explainability, and Privacy 15. Chapter 12: Building ML Solutions with AWS AI Services 16. Other Books You May Enjoy

Security and access management

Kubernetes has many built-in security features. These security features allow you to implement fine-grained network traffic control and access control to different Kubernetes APIs and services. In this section, we will discuss network security, authentication, and authorization.

Network security

By default, Kubernetes allows all Pods in a cluster to communicate with each other. To prevent unintended network traffic among different Pods, network policies can be established to specify how Pods can communicate with each other. You can think of a network policy as a network firewall that contains a list of allowed connections. Each network policy has a podSelector field, which selects a group of Pods enforced by the network policy and the allowed traffic direction (ingress or egress). The following sample policy denies all ingress traffic to all Pods, as there are no specific ingress policies defined:

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy...
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