May 2019
Intermediate to advanced
442 pages
11h 36m
English
Content preview from Hands-On Infrastructure Monitoring with Prometheus
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Choosing the right functions for the data type
The most common pitfall when starting out with PromQL is not choosing the right function for the data type (such as counters, gauges, or histograms) or vector type. Even though this information is pointed out in the Prometheus documentation, there can still be some confusion as there are conceptually similar named functions and aggregators: rate and deriv, increase and delta, quantile and histogram_quantile, sum and sum_over_time, among others. Fortunately, in cases where there is a mismatch of vector types, the expression evaluation will fail and let you know what is wrong; for a mismatch in data types, such as providing a counter to a function that expects a gauge, the expression might evaluate ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.