The TimescaleDB crew built a Prometheus-PG adapter [1]. TimescaleDB, and consequently Postgres, is an option I am exploring. Does a developer realize any benefits of 2.0 if the Prometheus database isn't used as a backend?<p>[1] <a href="https://github.com/timescale/prometheus-postgresql-adapter" rel="nofollow">https://github.com/timescale/prometheus-postgresql-adapter</a>
Really psyched to see this drop, the new engines performance looks amazing. And performance was already pretty stellar to start with!<p>Looks like Prometheus is also now the most popular tsdb on github!<p>The grafana team is working quite heavily on our Prometheus integrations, with some major recent improvements to the query editor in 4.6. We have many more plans to work even more tightly with the project.<p>Kudos to the Prometheus team!
I was curious what this is, so I clicked on it. I spent around 30 seconds scanning the homepage and this is my observation: Uses data to make insights.<p>What kind of data? I have no clue.
How? Not the faintest.<p>Anyway, you might want to add a portion to describe what it is for us scrubs that haven't a clue. Possibly a demo page?
Does anyone need to view metrics older than 2 weeks? What's your solution? I feel it's odd if you rely on a different software, e.g. for the most recent data, use Prometheus, and for older data, use something else. What if I want to compare the same metric in the last 4 weeks?
Does Prometheus 2 still use the unmaintained charting library "flot charts" ?<p><a href="http://www.flotcharts.org/" rel="nofollow">http://www.flotcharts.org/</a><p>No commits since 2014. Unfortunately, because it's a great chart library (actually probably the best free one), only the reliance on JQuery isn't that fashionable.<p>Edit: oh, it was Grafana and Kibana that used Flot charts (at least when I tried it two years ago, maybe things have changed) quick Google (2014): <a href="https://github.com/grafana/grafana/issues/222" rel="nofollow">https://github.com/grafana/grafana/issues/222</a>