I am having an ECS cluster in AWS where I am running 8 services(docker
containers). I want to run Prometheus and Grafana inside the cluster but I
am not able to understand how to do so?
How to persist Prometheus and Grafana data. Could someone please help me to
understand this?
P.S I don't
Brian Candler wrote:
> You can send the query "foo[2d]" and then filter the results in the client,
> to just those points where the value is N.
Indeed, in the Prometheus Web UI I can use ^F in the browser to look
for N. Thank you for the hint. The problem is not to overwhelm the
browser with
Thank you sir for that guidance. Tested the callback function approach and
that seems to be simple and fits the use case well. This seems to work:
from prometheus_client import start_http_server, Gauge
import random
import time
g = Gauge('some_test_metric', 'TEST METRIC')
def test_gauge():
Hi Brian,
I was able to get it to work based on your provided examples (haven't tried
the one liner)
Now I just got to read up on how I should go about building more detailed
routing rules :)
Lastly, I really appreciate you taking the time on getting me over the
first initial bump.
Take
There is quite a bit of work involved in doing that, this post goes over
all
steps:
https://aws.amazon.com/blogs/mt/monitor-and-scale-your-amazon-ecs-on-aws-fargate-application-using-prometheus-metrics/
On Sunday, January 2, 2022 at 2:19:07 PM UTC-8 vickyrat...@gmail.com wrote:
> I am having
On Sun, 2 Jan 2022 at 20:43, Brian Candler wrote:
[...]
> A subquery doesn't cut it here, because it resamples the data. The subquery
> "(foo == N)[2d:1s]" gives an approximation, but for a given point you'll see
> multiple points at 1 second intervals (until the time where foo != N)
If you
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On Sunday, 2 January 2022 at 03:05:16 UTC ee1 wrote:
> 1 - With this client, is it possible, and is anyone aware of a simple
> example, of only executing the metric-generating function when a scrape
> comes in from prometheus,?
>
Yes: for a gauge, you can register a callback function. The
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