Book Image

Python Microservices Development

Book Image

Python Microservices Development

Overview of this book

We often deploy our web applications into the cloud, and our code needs to interact with many third-party services. An efficient way to build applications to do this is through microservices architecture. But, in practice, it's hard to get this right due to the complexity of all the pieces interacting with each other. This book will teach you how to overcome these issues and craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: you’ll build everything using Python 3 and its amazing tooling ecosystem. You will understand the principles of TDD and apply them. You will use Flask, Tox, and other tools to build your services using best practices. You will learn how to secure connections between services, and how to script Nginx using Lua to build web application firewall features such as rate limiting. You will also familiarize yourself with Docker’s role in microservices, and use Docker containers, CoreOS, and Amazon Web Services to deploy your services. This book will take you on a journey, ending with the creation of a complete Python application based on microservices. By the end of the book, you will be well versed with the fundamentals of building, designing, testing, and deploying your Python microservices.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction

Centralizing logs


Python comes with the logging package, which lets you stream logs to a variety of places including standard out, rotating log files, syslog, or a TCP or UDP socket.

There's even an SMTP backend. In the following example, the email_errors decorator will send an email every time an exception is happening in the decorated function. Note that the handler is doing a telnet session with the SMTP server to send the email, so if there's any issue during that session, you might get a second exception when the logger.exception() function is called:

    import logging 
    from logging.handlers import SMTPHandler 
 
    host = "smtp.example.com", 25 
    handler = SMTPHandler(mailhost=host, fromaddr="[email protected]", 
                          toaddrs=["[email protected]"], 
                          subject="Service Exception") 
 
    logger = logging.getLogger('theapp') 
    logger.setLevel(logging.INFO) 
    logger.addHandler(handler) 
 
    def email_errors(func): 
        def _email_errors...