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Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
book

Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications

by Andrew Kelleher, Adam Kelleher
May 2019
Beginner to intermediate
288 pages
9h 1m
English
Addison-Wesley Professional
Content preview from Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications

19. Logical Network Topological Nodes

19.1 Introduction

This chapter covers network topological nodes. We won’t get into specific network hardware components such as routers and switches but will focus on the parts more relevant to designing and architecting a hearty application layer.

19.2 Network Diagrams

Network diagrams are a useful way to articulate an architectural design to colleagues. Being able to sketch components on the board allows you to summarize a complicated network clearly, concisely, and efficiently.

Several applications support drawing network diagrams. There are lots of flavors of edges and nodes, but they share commonalities. For the sake of this chapter, we’ll choose a few icons necessary to represent the components ...

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Publisher Resources

ISBN: 9780134116556