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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

Designing a broader release process

While the ability to deploy each microservice independently is really a key element of the system, this doesn't mean that no coordination should be required.

First, there are still some features that need to be deployed in multiple microservices. We've already looked at how we can work on the development process, including details such as handle versioning and checking dependencies explicitly. So what now?

In these situations, coordination between teams is required to ensure that the dependencies are implemented and that the different deployments are executed in an adequate order.

While some coordination can be helped by the leading architect, the architecture role should be focused on long-term goals and not short-term releases. A good tool to allow self-coordination by teams is to inform the other teams in a meeting about releases...

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