On March 24, 2017, a few months after his initial copying of Splunk’s source code,
Mr. Sharp resigned from Splunk to co-found Cribl with Dritan Bitincka and Ledion Bitincka— both former software architects at Splunk.
Except that they didn't because initially the had created a company called diag.io that was focused on troubleshooting fault configurations.
I don't think Splunk claims will hold in court. As said running Wireguard would too just fine.
Mr. Sharp posted a derivation of Splunk’s
proprietary and confidential S2S source code to his personal github webpage (a publicly accessible
website for sharing source code). Mr. Sharp named this derived code “go-S2S.”
Although Splunk provides HEC for third parties to use, Splunk maintains other
aspects of its software as proprietary. One example of such proprietary software is the “S2S”
protocol. S2S stands for “Splunk-to-Splunk,” and this is software that Splunk itself uses to send
data to, or receive data from, Splunk Enterprise and other Splunk software and technologies.
Splunk does not support use of S2S by third parties, does not publish S2S’s source code, and does
not document S2S in a manner that facilitates third-party use of this protocol.
I am one of those people. There was a bonus for every patent granted. They were telling us that we need to big patent arsenal to fend off against IBM. It turned out that Splunk is IBM now.
Simple yes; simplistic no.
It can provide you with thousands of metrics you never thought of monitoring. On top of that comes with pre-configured alerts, eBPF support, metric correlations and anomaly rates for every single metric it collects.
The thing with Netdata is you don't make compromises on number of metrics and Cardinality as the data stay with the node. Netdata.cloud can aggregate on the fly without storing. Check it out
Augmenta.ag fixes that
They use machine vision & hyperapectral cameras to estimate nitrogen on the leaves and accordingly spread more, less or no fertilizer.
Why do you think most people don't know about netdata and stick with the "status quo" of gathering data -> timeseries db -> manually creating dashboards & configure alerts?