Hi All,
I am reaching out to gather some quantitative insights and experiences
regarding the scalability of single prometheus instance. I understand that
performance and scalability can vary significantly based on different
aspects of infrastructure like whether the backend storage is local disk of
NFS, network bandwidth , number of targets and metrics per targets, scrape
interval etc.
For the following queries you can assume ideal conditions I.e. Optimal
hardware , Maximum network bandwidth , Local disk ( say SSD) Or
if you can share the information on the hardware and the performance
metrics , that would help .
Here are the questions:
Q1. What is the practical limit on the number of active series which
prometheus can handle or,
What is the maximum number of active series to which prometheus can
scale?
https://www.robustperception.io/scaling-and-federating-prometheus
this article was written in 2015 and mentions that single instance
can scale at minimum 1M series ( 1000 servers x 1000 metrics)
https://prometheus.io/docs/introduction/faq/#i-was-told-prometheus-doesnt-scale
here i assume under ideal conditions, it can scale between 20 to
90M.
Q2: What are the practical limits for storage and data retention in a
single instance.
Q3: What is the highest number of targets and total metrics per target that
can be efficiently scraped by single instance?
Q4: How does query performance ( latency) scale with increasing number of
metrics and targets?
Any shared experiences , benchmarks or references to relevant documentation
would help .
Thank you
Regards,
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