What’s your preferred stack?

• community

  9 64 7.2 Jupyter Notebook

  Netdata-powered applications and examples. For the community, by the community. (by netdata)

  

There can be some issues if you mix and match elastic versions, wazuh versions, logstash versions. But the documentation guides you very well with matrix of what is and is not compatible. You will want a beefy VM to run it in, I started smaller than I should of, and after running a while it kind of puked on itself, certain things would randomly stop working. After giving it 32GB RAM, plenty of disk 4TB, and 8 vcpu, it now runs like a top. of course you will need to run, test and tune all the config files for Ossec, Wazuh, Logstash etc. The big one being JVM heap memory settings, larger these can be, the better performance. Also if you can, run it on SSD disk, helps alot being there is lots of I/O, log ingestion, processing etc. One free Linux monitoring platform I use, which I highly recommend for all Linux servers is netdata.cloud. Awesome, awesome, awesome! It actually helps tune and get real time health of the Wazuh server, and can point out pain points with hardware being undersized for example, too much swap utilization, disk I/O etc. Regardless, check that out regardless.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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