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Mastering Python Networking

Mastering Python Networking - Fourth Edition

By : Eric Chou
4.5 (89)
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Mastering Python Networking

Mastering Python Networking

4.5 (89)
By: Eric Chou

Overview of this book

Networks in your infrastructure set the foundation for deploying, maintaining, and servicing applications. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. Mastering Python Networking, Fourth edition, guides you on a Python-driven journey from traditional network engineering to modern network development. This new edition incorporates the latest Python features and DevOps frameworks. In addition to new chapters on introducing Docker containers and Python 3 Async IO for network engineers, each chapter is updated with the latest libraries and working examples to ensure compatibility and clarity of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security, followed by AWS and Azure cloud networking. You will use Git for code management, GitLab for continuous integration, and Python-based testing tools to verify your network. By the end of this book, you'll be a confident network developer capable of automating modern infrastructure using Python, DevOps practices, and cloud technologies.
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
18
Index

Data Ingestion with Logstash

In the last example, we used Logstash to ingest log data from network devices. Let's build on that example and add a few more configuration changes in network_config/config_2.cfg:

input {
  udp {
    port => 5144
    type => "syslog-core"
  }
  udp {
    port => 5145
    type => "syslog-edge"
  }
}
filter {
 if [type] == "syslog-edge" {
    grok {
      match => { "message" => ".*" }
      add_field => [ "received_at", "%{@timestamp}" ]
    }
  } 
}
output {
  stdout { codec => json }
  elasticsearch {
    hosts => ["https://192.168.2.126:9200"]
    <skip>
  }
}

In the input section, we will listen on two UDP ports, 5144 and 5145. When the logs are received, we will tag the log entries with either syslog-core or syslog-edge. We will also add a filter section to the configuration to specifically...

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