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prometheus
client_golang
Go2016–2026
prometheus / client_golang

client_golang

Prometheus instrumentation library for Go applications

13Distinct people
13Mentions
0Explicit recommenders
6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Prometheus instrumentation library for Go applications

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:36:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year13 dated mentions

Observed mentions: 2016-07-18 18:50:14 UTC to 2026-08-03 09:17:52 UTC.

012342016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC404
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

2 sources
I have my own take on this: https://github.com/jrockway/opinionated-server Some things we do differently, and some things we do the same. We give each RPC handler a logger, so you know where logs are coming from (and the trace ID associated with every message). We collect detailed prometheus metrics for every RPC, and send everything we know to Jaeger. We provide clients for outgoing RPCs that log and trace in the same way as incoming requests. We pick concrete types for logging/tracing/metrics, which makes it easier to figure out what code is actually running. Having used the abstraction layers, I find that when they don't do what you want, it can take a long time to figure out why. If you have to switch from Prometheus to Statsd or something, the performance and configuration characteristics of your app change, so you'll probably w
Read the rest
ant to manually revisit every metric. It's a straightforward refactoring that you will probably never do more than once, so I don't think it's worth making it "easy" out of the box. Finally, we let you configure your app with either flags or environment variables. Generally, I like flags for running things while developing (go run main.go --foo=bar) and environment variables for production. Why pick one or the other when you can do both! Extensive care has been taken to be able to log everything, including all payloads for bidirectional streams. (HTTP logging is a bit of a disaster; check out the code you have to write to be able to hook every type of http.ResponseWriter without the consumer noticing: https://github.com/prometheus/client_golang/blob/master/prom....) Some features that are missing or sub-optimal: * A long chain of interceptors for every request is very expensive. They should all be condensed into one wrapper that does "everything" explicitly. I don't think it's worth the debugging complexity to be able to compose a bunch of middleware at runtime; just write a function that wraps every request that does the stuff you want. If you want more stuff, type it in right there. Easy to read, easy for the computer to execute. * There should be fine-grained control over logging at runtime. I think you really want to be able to pass in configuration for every sub-logger, rather than a global log level. For example, you may want to adjust log sampling rate at runtime for a particular component, or upgrade a particular component from INFO to DEBUG for temporary investigation. (Without these controls, people stop writing log statements because they're too spammy, and then you have absolutely nothing to help you with ongoing issues.) * There is absolutely no support for mTLS, which is a crime in this day and age. This is probably the next thing that I'll add; you should be able to watch a volume for changes in TLS key/cert/ca material (so you can rotate keys frequently and without restarting), and require that incoming requests have a certificate trusted by the loaded CA. Outgoing requests should also be marked as "external" or "internal", and use the correct client cert for internal requests. (I somewhat promise to add this soon, because it's sorely needed.) * I don't think applications should support any non-production features for development, like a different logging configuration. opinionated-server apps take a --pretty_logs argument that configures it to print plain text instead of JSON, but I don't use it anymore; I just pipe the logs through jlog (`go install github.com/jrockway/json-logs/cmd/jlog`) and the results are much prettier than what zap would do itself. And it's the same tool I use every day to look at production logs, so there are no surprises. Ultimately, I wrote this because I like small pieces of software that do one thing, and found myself writing the same boilerplate over and over. Overall, this has been a success. I have written small utilities (github.com/jrockway/alertmanager-status, github.com/jrockway/nodedns, github.com/jrockway/alertmanager-discord, which I forked from someone else and converted to use opinionated-server), and larger applications (github.com/jrockway/jsso2, github.com/jrockway/ekglue), and overall not having to write the same monitoring/logging code over and over has proven quite productive. I have not achieved my goal of "1 hour to make a production application" quite yet, but opinionated-server is certainly helping.
In Golang web service framework with DI, Telemetry and more

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