📚 statsviz - Awesome Go Library for Performance

Live visualization of your Go application runtime statistics
Detailed Description of statsviz
Statsviz
Visualize real time plots of your Go program runtime/metrics including heap, objects, goroutines, GC pauses, scheduler and more.
Install
Get the latest version:
go get github.com/arl/statsviz@latest
Usage
Register Statsviz HTTP handlers with your application http.ServeMux.
mux := http.NewServeMux()
statsviz.Register(mux)
go func() {
log.Println(http.ListenAndServe("localhost:8080", mux))
}()
Open your browser at http://localhost:8080/debug/statsviz
Examples
If you check any of the boxes below:
- you use some HTTP framework
- you want Statsviz to be located at
/my/path/to/statsvizrather than/debug/statsviz - you want Statsviz under
https://rather thanhttp:// - you want Statsviz behind some middleware
Then you should call statsviz.NewServer() (with or without options depending on your use case) in order to access the Index() and Ws() methods.
srv, err := statsviz.NewServer(); // Create server or handle error
if err != nil { /* handle error */ }
// Do something with the handlers.
srv.Index() // UI (dashboard) handler func
srv.Ws() // Websocket handler func
Examples for the following cases, and more, are found in the _example directory:
- use of
http.DefaultServeMuxor your ownhttp.ServeMux - wrap HTTP handler behind a middleware
- register the web page at
/foo/barinstead of/debug/statsviz - use
https://rather thanhttp:// - register Statsviz handlers with various Go HTTP libraries/frameworks:
How Does That Work?
Statsviz is made of two parts:
-
The
Wsserves a Websocket endpoint. When a client connects, your program's runtime/metrics are sent to the browser, once per second, via the websocket connection. -
the
Indexhttp handler serves Statsviz user interface at/debug/statsvizat the address served by your program. When served, the UI connects to the Websocket endpoint and starts receiving data points.
Documentation
Go API
Check out the API reference on pkg.go.dev.
Web User Interface
Top Bar
Category Selector
Each plot belongs to one or more categories. The category selector allows you to filter the visible plots by categories.
Visible Time Range
Use the time range selector to define the visualized time span.
Show/Hide GC events
Show or hide the vertical lines representing garbage collection events.
Pause updates
Pause or resume the plot updates.
Plot Controls
Plots
Which plots are visible depends on:
- your Go version,since some plots are only available in newer versions.
- what plot categories are currently selected. By default all plots are shown.
Allocation and Free Rate
CGO Calls
CPU (GC)
CPU (Overall)
CPU (Scavenger)
Garbage Collection
GC Cycles
GC Pauses
GC Scan
GC Stack Size
Goroutines
Heap (Details)
Live Bytes
Live Objects
Memory Classes
MSpan/MCache
Mutex Wait
Runnable Time
Scheduling Events
Size Classes
GC Pauses
User Plots
Since v0.6 you can add your own plots to Statsviz dashboard, in order to easily
visualize your application metrics next to runtime metrics.
Please see the userplots example.
Questions / Troubleshooting
Either use GitHub's discussions or come to say hi and ask a live question on #statsviz channel on Gopher's slack.
Contributing
Please use issues for bugs and feature requests.
Pull-requests are always welcome!
More details in CONTRIBUTING.md.
Changelog
See CHANGELOG.md.
License: MIT
See LICENSE