PromCon EU 2019: PromQL for Mere Mortals

[@rossbrunson5122]

This slide at 7:27 solved a huge disparity for me! Whole talk is killer, love your "One geek's journey through confusing territory" method, very effective...

[@Zwartepiet777]

Why have I only found this now!? Crying my eyes out : ) Thanks so much - brilliantly done!

[@mbigras]

Thanks for the great talk about a challenging problem: understanding how PromQL works!

[@tinfever]

Very good presentation. Clear, engaging, and funny.

[@shubhamc183]

Thanks for the talk, I learned a great deal from here about PromQL!

[@setudixit]

The mental model slide was awesome …!!

[@saeidghafouri8501]

Fantastic explanation! you're a lifesaver!

[@bumbuts]

Very useful information, big like

[@06amey]

Awesome talk 👏🏻👏🏻👏🏻 Thanks!

[@cccc2740]

@6.11, scrapping time for different time-series may be different but intervals at which they are scrapped is same.

[@david2358]

Awesome 👍

[@josephmbimbi]

I actually have a hard time understanding what is being computed in the demo starting at 11:45 .
having a visual illustration of the time series and the operators, as you did earlier to explicit your "mental model", would have helped a lot

[@tanveerhasan2382]

True true

[@praveenkumar-uc3tu]

Thanks for the video. Can u guide how to write promQL to get the metrics for concatenating couple of nodes in k8s cluster not for all the nodes.

[@mshhalh]

great

[@DanialGordi-ir]

Awesome

[@dobo7227]

for mere mortals hehe