Book Image

Hands-On Docker for Microservices with Python

By : Jaime Buelta
Book Image

Hands-On Docker for Microservices with Python

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)
Free Chapter
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

Setting up logs

We will centralize all the logs that are generated by the system into a single pod. In local development, this pod will expose all the received logs through a web interface.

The logs will be sent over the syslog protocol, which is the most standard way of transmitting them. There's native support for syslog in Python, as well as in virtually any system that deals with logging and has Unix support.

Using a single container makes it easy to aggregate logs. In production, this system should be replaced with a container that relays the received logs to a cloud service such as Loggly or Splunk.

There are multiple syslog servers that are capable of receiving logs and aggregating them; syslog-ng (https://www.syslog-ng.com/) and rsyslog (https://www.rsyslog.com/) are the most common ones. The simplest method is to receive the logs and to store them in a file. Let...