mtojek/prometheus-instrumentation-in-go — explained in plain English
Analysis updated 2026-07-04 · repo last pushed 2018-11-04
Add request counting and response time tracking to a Go API.
Monitor a Go backend for piling errors in real time.
Quickly instrument a new Go server to see how many users hit it per minute.
| mtojek/prometheus-instrumentation-in-go | anomalroil/1key | danterolle/loqi | |
|---|---|---|---|
| Stars | 2 | 2 | 2 |
| Language | Go | Go | Go |
| Last pushed | 2018-11-04 | 2019-05-17 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 3/5 | 2/5 |
| Audience | developer | ops devops | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a running Prometheus instance to actually collect and view the metrics, though the Go server setup itself is minimal.
Prometheus-instrumentation-in-go is a quick-start project that shows you how to add performance monitoring to a Go server in about five minutes. If you have a backend application and need a simple way to track how fast it responds, how many requests it handles, or whether errors are piling up, this project gives you a straightforward template to do exactly that. At a high level, the project connects your Go server to a popular monitoring approach called Prometheus. Think of it like installing a dashboard in your car: you add a few small pieces of code to your server, and Prometheus automatically starts collecting metrics like request counts and response times. Once those metrics are being recorded, you can view them on a dashboard to see how your application is performing in real time. The project is based on a linked Medium article that walks you through the exact steps. This is useful for developers or founders who have built a basic Go backend and want visibility into its health without spending days on setup. For example, if you just launched an API and want to know how many users are hitting it per minute, or if you need to figure out why certain requests are running slow, this instrumentation gets you that information quickly. The main tradeoff here is that the project is extremely minimal. It is designed as a rapid, five-minute introduction rather than a comprehensive guide. The README does not go into detail about advanced configurations, custom metrics, or how to set up the visualization dashboards, so you will likely need to consult the linked article and Prometheus documentation for anything beyond the basics.
A quick-start Go project that shows you how to add Prometheus performance monitoring to a Go server in about five minutes, tracking request counts, response times, and errors.
Mainly Go. The stack also includes Go, Prometheus.
Dormant — no commits in 2+ years (last push 2018-11-04).
No license information was provided, so default copyright restrictions apply.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.