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Hands-On Docker for Microservices with Python

Hands-On Docker for Microservices with Python

By : Jaime Buelta
3.8 (5)
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Hands-On Docker for Microservices with Python

Hands-On Docker for Microservices with Python

3.8 (5)
By: Jaime Buelta

Overview of this book

Microservices architecture helps create complex systems with multiple, interconnected services that can be maintained by independent teams working in parallel. This book guides you on how to develop these complex systems with the help of containers. You’ll start by learning to design an efficient strategy for migrating a legacy monolithic system to microservices. You’ll build a RESTful microservice with Python and learn how to encapsulate the code for the services into a container using Docker. While developing the services, you’ll understand how to use tools such as GitHub and Travis CI to ensure continuous delivery (CD) and continuous integration (CI). As the systems become complex and grow in size, you’ll be introduced to Kubernetes and explore how to orchestrate a system of containers while managing multiple services. Next, you’ll configure Kubernetes clusters for production-ready environments and secure them for reliable deployments. In the concluding chapters, you’ll learn how to detect and debug critical problems with the help of logs and metrics. Finally, you’ll discover a variety of strategies for working with multiple teams dealing with different microservices for effective collaboration. By the end of this book, you’ll be able to build production-grade microservices as well as orchestrate a complex system of services using containers.
Table of Contents (19 chapters)
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1
Section 1: Introduction to Microservices
3
Section 2: Designing and Operating a Single Service – Creating a Docker Container
7
Section 3:Working with Multiple Services – Operating the System through Kubernetes
13
Section 4: Production-Ready System – Making It Work in Real-Life Environments

Configuring and Securing the Production System

Production (from production environment) is a common name to describe the main system—the one that does the work for the real customers. This is the main environment available in the company. It can also be called live. This system needs to be openly available on the internet to be useful, which also makes security and reliability a big priority. In this chapter, we'll see how to deploy a Kubernetes cluster for production.

We'll see how to set one up using a third-party offering Amazon Web Services (AWS), and will cover why it's a bad idea to create your own. We will deploy our system in this new deployment, and will check how to set up a load balancer to move traffic from the old monolith to the new system in an ordered fashion.

We will also see how to scale automatically both the pods inside the Kubernetes...

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