Netdata: open-source, distributed observability pipeline. Higher fidelity, easier scalability, and lower cost of ownership, but there are challenges too. An overview of the journey and the challenges we face while building Netdata.
At SreCON19, Todd Underwood from Google gave a presentation with the title “All of Our ML Ideas Are Bad (and We Should Feel Bad)”. Let’s see a few ML ideas implemented in the open-source Netdata that may not actually be that bad.
Observability standardization: Everyone is talking about open standards and protocol compatibility, but the elephant is still in the room. Are we really that different to require a custom-made monitoring solution to monitor our infrastructure?
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