Book Image

Mastering Python Networking - Third Edition

By : Eric Chou
Book Image

Mastering Python Networking - Third Edition

By: Eric Chou

Overview of this book

Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Third edition, you’ll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding 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 Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network.
Table of Contents (18 chapters)
16
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17
Index

Elasticsearch with a Python client

We can interact with Elasticsearch via its HTTP RESTful API using a Python library. For instance, in the following example, we will use the requests library to perform a GET operation to retrieve information from the Elasticsearch host. For example, we know that HTTP GET for the following URL endpoint can retrieve the current indices starting with kibana:

(venv) $ curl http://192.168.2.200:9200/_cat/indices/kibana*
green open kibana_sample_data_ecommerce Pg5I-1d8SIu-LbpUtn67mA 1 0  4675 0    5mb    5mb
green open kibana_sample_data_logs      3Z2JMdk2T5OPEXnke9l5YQ 1 0 14074 0 11.2mb 11.2mb
green open kibana_sample_data_flights   sjIzh4FeQT2icLmXXhkDvA 1 0 13059 0  6.2mb  6.2mb

We can use the requests library to make a similar function in a Python script, Chapter12_1.py:

#!/usr/bin/env python3
import requests

def current_indices_list(es_host, index_prefix):
    current_indices = []
    http_header = {'content...