With distributed system coordination software such as Kubernetes and Mesos, monitored environments have become increasingly more dynamic, Reinartz pointed out in a blog post. The motioning software needed its own dedicated storage to ensure responsiveness in these dynamic environments.
Though Prometheus 1.6 introduced auto-tuning capabilities, the team has been working on a more performant time-series database. “It’s just way more reliable and faster. Ideally, you don’t want to have to reconfigure all the time, so Prometheus just responds to change in demands, so there are way fewer knobs to turn for the people running it,” Reinartz said in an interview.
Read more at The New Stack