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Mastering Python Networking

You're reading from   Mastering Python Networking Your one-stop solution to using Python for network automation, programmability, and DevOps

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781839214677
Length 576 pages
Edition 3rd Edition
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Author (1):
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Eric Chou Eric Chou
Author Profile Icon Eric Chou
Eric Chou
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Table of Contents (18) Chapters Close

Preface 1. Review of TCP/IP Protocol Suite and Python 2. Low-Level Network Device Interactions FREE CHAPTER 3. APIs and Intent-Driven Networking 4. The Python Automation Framework – Ansible Basics 5. The Python Automation Framework – Beyond Basics 6. Network Security with Python 7. Network Monitoring with Python – Part 1 8. Network Monitoring with Python – Part 2 9. Building Network Web Services with Python 10. AWS Cloud Networking 11. Azure Cloud Networking 12. Network Data Analysis with Elastic Stack 13. Working with Git 14. Continuous Integration with Jenkins 15. Test-Driven Development for Networks 16. Other Books You May Enjoy
17. Index

Elastic Stack as a Service

Elasticsearch is a popular service that is available as a hosted option by both Elastic.co and AWS. Elastic Cloud (https://www.elastic.co/cloud/) does not have an infrastructure of its own, but it offers the option to spin up deployments on AWS, Google Cloud Platform, or Azure. Because Elastic Cloud is built on other public cloud VM offerings, the cost will be a bit more than getting it directly from the cloud provider, such as AWS:

Figure 5: Elastic Cloud offerings

AWS offers a hosted Elasticsearch product (https://aws.amazon.com/elasticsearch-service/) that is tightly integrated with the existing AWS offerings. For example, AWS CloudWatch Logs can be streamed directly to the AWS Elasticsearch instance (https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CWL_ES_Stream.html):

Figure 6: AWS Elasticsearch service

From my own experience, as attractive as the Elastic Stack is for its advantages, it is a project that I feel is...

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