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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

Scaling the workflow and making it work

Some of the challenges of implementing this way of working include creating a culture that provides an adequate feedback loop and checking new code carefully while reviewing it quickly. Waiting for a review is a blocked state that stops the developer from implementing the feature that's being reviewed.

While this waiting time can be used for other purposes, not being able to progress will quickly lower productivity. Either the developer will keep a few features in parallel, which is highly problematic from the context switch perspective, or they need to wait and roll their thumbs until the review is completed.

The context switch is probably the most serious killer of productivity. One of the keys to keeping your team's productivity high is being able to start and finish a task. If the task is small enough, it will be finished quickly...
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