As we have seen so far in this chapter, use just the Python tools as we have done would adequately monitor your network with enough scalability for all types of networks, large and small alike. However, I would like to introduce one additional open source, general-purpose, distributed, search and analytics engine called Elasticsearch (https://www.elastic.co/). It is often referred to as the Elastic or ELK stack for combining with the frontend and input tools.
If you look at network monitoring in general, it is really about analyzing network data and making sense out of them. The ELK stack contains Elasticsearch, Logstash, and Kibina as a full stack to ingest information with Logstash, index and analyze data with Elasticsearch, and present the graphics output via Kibana. It is really three projects in one with the flexibility to substitute Logstash with another input, such as Beats. Alternatively, you can use other tools, such as Grafana, instead of Kibana for visualization...