The application publishes metrics to a remote-write endpoint in a
Prometheus shard at the moment; in future we've plans to migrate to pull
model as much as possible after building service discovery for native
deployments -- but for backward compatibility, we are adopting this
approach currently
To put it another way. If you can read every event raw from a log line,
like every request has a "took X milliseconds", there are better ways to
reconstruct metrics for your use case.
On Sun, Aug 7, 2022 at 9:46 PM Ben Kochie wrote:
> Right, but more basic, how do you get this information from t
Right, but more basic, how do you get this information from the application
right now? Are you reading logs? Does it emit statsd data?
You're saying what, but not how.
On Sun, Aug 7, 2022 at 7:15 PM Johny wrote:
> Gauge contains most recent values of a metric, sampled every 1 min or so,
> and e
Thanks. While I understand the limitations with a gauge, the objective here
is to backport existing reports with the new backend, integrate and
optimize later. There is a period of time we need to continue backward
compatibility due to high barrier to change in clients. The time window
used to
On 07/08/2022 18:14, Johny wrote:
Gauge contains most recent values of a metric, sampled every 1 min or
so, and exported by a user application, e.g. some latency sampled at 1
minute intervals by a client application. Lets presume this time
series (scraped by Prometheus or sent via remote write)
Gauge contains most recent values of a metric, sampled every 1 min or so,
and exported by a user application, e.g. some latency sampled at 1 minute
intervals by a client application. Lets presume this time series (scraped
by Prometheus or sent via remote write) is absolute containing all the
in
So, let's take a step back and find out some more information, because this
question is sounding a lot like an XY Problem.
How are the current applications generating their metrics right now?
How are you getting the data to create these histograms?
On Sun, Aug 7, 2022 at 9:23 AM Johny wrote:
>
On 07/08/2022 08:23, Johny wrote:
We are migrating telemetry backend from legacy database to Prometheus
and require estimating percentiles on gauge metrics published by user
applications. Estimating percentiles on a gauge metric in Prometheus
is not feasible and for a number of reasons, client
We are migrating telemetry backend from legacy database to Prometheus and
require estimating percentiles on gauge metrics published by user
applications. Estimating percentiles on a gauge metric in Prometheus is not
feasible and for a number of reasons, client applications will be difficult
to
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