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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

Testing the code

To test our application, we use the excellent pytest framework, which is the gold standard in test runners for Python applications.

Basically, pytest has a lot of plugins and add-ons to deal with a lot of situations. We will be using pytest-flask, which helps with running tests for Flask applications.

To run all the tests, just call pytest in the command line:

$ pytest
============== test session starts ==============
....
==== 17 passed, 177 warnings in 1.50 seconds =====

Note that pytest has a lot of features available to deal with a lot of situations while testing. Things running a subset of matched tests (the -k option), running the last failed tests (--lf), or stopping after the first failure (-x) are incredibly useful when working with tests. I highly recommend checking its full documentation (https://docs.pytest.org/en/latest/) and discovering all its possibilities...
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