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Hands-On Docker for Microservices with Python

You're reading from   Hands-On Docker for Microservices with Python Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838823818
Length 408 pages
Edition 1st Edition
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction to Microservices FREE CHAPTER
2. Making the Move – Design, Plan, and Execute 3. Section 2: Designing and Operating a Single Service – Creating a Docker Container
4. Creating a REST Service with Python 5. Build, Run, and Test Your Service Using Docker 6. Creating a Pipeline and Workflow 7. Section 3:Working with Multiple Services – Operating the System through Kubernetes
8. Using Kubernetes to Coordinate Microservices 9. Local Development with Kubernetes 10. Configuring and Securing the Production System 11. Using GitOps Principles 12. Managing Workflows 13. Section 4: Production-Ready System – Making It Work in Real-Life Environments
14. Monitoring Logs and Metrics 15. Handling Change, Dependencies, and Secrets in the System 16. Collaborating and Communicating across Teams 17. Assessments 18. Other Books You May Enjoy

Summary

In this chapter, we looked at the basic concepts of Kubernetes and how it's useful to manage and coordinate multiple containers that contain our microservices.

First, we introduced what Kubernetes is and some of its high-level advantages. Then, we described the different elements that define a cluster in the Kubernetes nomenclature. This included both the physical aspects, where the nodes are the main defining elements, as the abstract aspects, such as the pods, deployments, services, and Ingress, which are the building blocks we need in order to generate a working cluster.

We described kubectl and the common operations we can use to define elements and retrieve information through YAML files. We also described some of the common problems that can arise when handling a Kubernetes cluster.

In the next chapter, we will define the different options we can use in YAML...

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