even if you’re only storing 10M records a day, the user experience immediately starts to become subpar. Elasticsearch is based of a text search engine, and thus isn’t necessarily optimized for data aggregation - when you try to query the past month of data. I think the most difficult problem you’ll encounter is how to pull back all this data efficiently. That’s probably where the ELK stack shines the most for network monitoring. that was Robs intended direction.Īnywho the Kibana dashboards are really nice and user friendly, the built in schemas all jive very nicely for anyone who wants to tweak a dashboard. He also adds, The solution is very easy to scale and the product is open-source, meaning there aren. Nagios Core Nagios is probably one of the most popular and well-known IT management and monitoring software. I believe Elastiflow itself may even use something written in Go these days. The monitoring capabilities of the product are excellent. NetFlow Analyzer PRTG lets you check and monitor your bandwidth and determine, for example, the amount of network traffic caused by IP addresses, protocols, or. Even using custom Logstash plugins wasn’t enough. I’ve found that even for deployments 1/10th the scale, this is true. I found that in order to get the throughput I needed using Elastiflow (~1M records per second), I had to roll my own translation functionality, rather than use Logstash. This was in early 2020 - Rob has made significant updates since then. I’ve deployed Elastiflow at scale, it was okay.
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