Summary

In this chapter, we used the Elastic Stack to ingest, analyze, and visualize network data. We used Logstash and Beats to ingest the network syslog and NetFlow data. Then we used Elasticsearch to index and categorize the data for easier retrieval. Finally, we use Kibana to visualize the data. We used Python to interact with the stack and help us gain more insights into our data. Together, Logstash, Beats, Elasticsearch, and Kibana present a powerful all-in-one project that can help us understand our data better.

In the next chapter, we will look at using Git for network development with Python.