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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
2. Making the Move – Design, Plan, and Execute FREE CHAPTER 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

Using Kubernetes in the wild

When deploying a cluster to be used as production, the best possible advice is to use a commercial service. All the main cloud providers (AWS EKS, Google Kubernetes Engine (GKE), and Azure Kubernetes Service (AKS)) allow you to create a managed Kubernetes cluster, meaning that the only required parameter is to choose the number and type of physical nodes and then access it through kubectl.

We will use AWS for the examples in this book, but take a look at the documentation of other providers in case they work better for your use case.

Kubernetes is an abstraction layer, so this way of operation is very convenient. The pricing is similar to paying for raw instances to act as node servers and removes the need to install and manage the Kubernetes Control Plane so the instances act as Kubernetes nodes.

It's worth saying it again: unless you have a...
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