If I checkout the flows / events in Kibana, I can see that there is a gap building up between the timestamps and event. If I'm changing the output to console and pipe it through pv, I can see that quite the same amount of events are emitted: filebeat -c /home/user/test_filebeat.yml | pv -Warl > /dev/null Here's the filebeat config: filebeat.modules: I estimate that the real flow rate which is hitting the input is about 30.000 flows per second but we plan to increase that to about 70.000 flow per second. Our filebeat is running on a 8 core VM with 16GB of memory, 10G link and a fast PCIe NVMe SSD - its currently able to index 22.000 flows per second. A walkthrough of how to ingest Netflow data in your Security Onion environment, for small or remote networks where you don't have a dedicated Security Onion. Ive read about load-balancing to multiple outputs, but Im looking for load-balancing from multiple inputs.

I've read multiple times that most of the times Elasticsearch output is the bottleneck and not filebeat, but I see a few indicators which tell me that it's filebeat. I have a very high volume Netflow input stream, and I was hoping that I could run multiple instances of Filebeat and load-balance the Netflow traffic over the Filebeat instances, and then write to a single remote Elasticsearch. Unfortunately I am witnessing performance pressure and after all the debugging and analyzing I've done I come to the assumption that the filebeat instance, which is handling the incoming netflow traffic, must be the bottleneck. Modify input and output sections of nfo.We are importing flow data into our 10 Node Elasticsearch cluster via Filebeat netflow Input.Download and add the following files to the logstash configurations conf.d directory (e.g.Installation Steps Install the following components: Write down the Application ID ( appid below) and Tenant ID ( apptenant below). Create an AAD application in Azure Portal under Azure Active Directory > App registrations > New registration. Logstash has a larger footprint, but enables you to filter and transform data, adding calculated fields at index time, if necessary. Send logs to Azure Data Explorer (Kusto) Install the Azure Data Explorer plugin: sudo bin/logstash-plugin install logstash-output-kusto. Exporters network address in IP:port format. In Kibana go to (port 5601) %Kibana_server%/app/management/kibana/indexPatterns Metadata related to the exporter device that generated this record.In the filebeats configuration directory edit the filebeat.yml file - Add after the ‘filebeat.inputs:’ line the following:.This file contains the NFO field definitions for the template Download nfo_fields.yml and add the nfo_fields.yml file to the filebeats configuration directory (e.g /etc/filebeat).

If I share the load to a second server 50/50, indexing rate up. With only one filebeat I loss more or less 30 but there is no message in syslog filebeat/elastic and the load average is at worst 3 without memory problem. Installation Steps Install the following components: One samplicate (netflow) -> three filebeat -> elastic cluster. The steps below describe NFO -> Filebeat -> Elasticsearch - Kibana scenario.

Please note that Filebeat cannot add calculated. Please note that Filebeat cannot add calculated fields at index time, and Logstash can be used with Filebeat if this is required. Filebeat has a small footprint and enables you to ship your flow data to Elasticsearch securely and reliably. Important: configure NFO output format as JSON Using Filebeat įilebeat has a small footprint and enables you to ship your flow data to Elasticsearch securely and reliably.