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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785881114
Length 340 pages
Edition 1st Edition
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Author (1):
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Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
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Table of Contents (13) Chapters Close

Preface 1. Understanding Microservices FREE CHAPTER 2. Discovering Flask 3. Coding, Testing, and Documenting - the Virtuous Cycle 4. Designing Runnerly 5. Interacting with Other Services 6. Monitoring Your Services 7. Securing Your Services 8. Bringing It All Together 9. Packaging and Running Runnerly 10. Containerized Services 11. Deploying on AWS 12. What Next?

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...
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