Главная
Study mode:
on
1
Intro
2
Isolation
3
Recap
4
Prometheus Histograms
5
Wishlist
6
Conventional Histograms
7
Histograms in Prometheus
8
The accumulating entropy
9
Cumulative histograms
10
Sparse histogram
11
Storage
12
Storage Space
13
Wish List
14
True Spoiler
15
Resolution
16
Aggregation
17
Outro
Description:
Explore the evolution and potential improvements of histograms in Prometheus in this 30-minute conference talk by Björn Rabenstein from Grafana Labs. Delve into the current limitations of Prometheus histograms, particularly their high per-bucket cost, and understand why adopting established techniques from academic publications and other metrics-processing systems has been challenging. Discover the speaker's latest findings on breaking through barriers to implement efficient high-resolution histograms in Prometheus. Learn about conventional histograms, cumulative histograms, sparse histograms, and their impact on storage space. Gain insights into the accumulating entropy problem and potential solutions for better resolution and aggregation in Prometheus histograms.

Better Histograms for Prometheus

CNCF [Cloud Native Computing Foundation]
Add to list