Go Metrics alternatives and similar packages
Based on the "DevOps Tools" category.
Alternatively, view Go Metrics alternatives based on common mentions on social networks and blogs.
-
Gitea
Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD -
Moby
The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems -
Packer
Packer is a tool for creating identical machine images for multiple platforms from a single source configuration. -
kubeshark
The API traffic analyzer for Kubernetes providing real-time K8s protocol-level visibility, capturing and monitoring all traffic and payloads going in, out and across containers, pods, nodes and clusters. Inspired by Wireshark, purposely built for Kubernetes -
Ddosify
Anteon (formerly Ddosify) - Effortless Kubernetes Monitoring and Performance Testing. Available on CLI, Self-Hosted, and Cloud -
dasel
Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package. -
Mizu
DISCONTINUED. The API traffic viewer for Kubernetes providing deep visibility into all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Think TCPDump and Wireshark re-invented for Kubernetes [Moved to: https://github.com/kubeshark/kubeshark] -
Fleet device management
Open-source platform for IT, security, and infrastructure teams. (Linux, macOS, Chrome, Windows, cloud, data center) -
Pomerium
Pomerium is an identity and context-aware reverse proxy for zero-trust access to web applications and services. -
StatusOK
Monitor your Website and APIs from your Computer. Get Notified through Slack, E-mail when your server is down or response time is more than expected. -
uTask
µTask is an automation engine that models and executes business processes declared in yaml. ✏️📋 -
s3gof3r
Fast, concurrent, streaming access to Amazon S3, including gof3r, a CLI. http://godoc.org/github.com/rlmcpherson/s3gof3r -
Wait4X
DISCONTINUED. Wait4X allows you to wait for a port or a service to enter the requested state. [Moved to: https://github.com/wait4x/wait4x]
InfluxDB high-performance time series database

Do you think we are missing an alternative of Go Metrics or a related project?
Popular Comparisons
README
go-metrics
Go port of Coda Hale's Metrics library: https://github.com/dropwizard/metrics.
Documentation: http://godoc.org/github.com/rcrowley/go-metrics.
Usage
Create and update metrics:
c := metrics.NewCounter()
metrics.Register("foo", c)
c.Inc(47)
g := metrics.NewGauge()
metrics.Register("bar", g)
g.Update(47)
r := NewRegistry()
g := metrics.NewRegisteredFunctionalGauge("cache-evictions", r, func() int64 { return cache.getEvictionsCount() })
s := metrics.NewExpDecaySample(1028, 0.015) // or metrics.NewUniformSample(1028)
h := metrics.NewHistogram(s)
metrics.Register("baz", h)
h.Update(47)
m := metrics.NewMeter()
metrics.Register("quux", m)
m.Mark(47)
t := metrics.NewTimer()
metrics.Register("bang", t)
t.Time(func() {})
t.Update(47)
Register() is not threadsafe. For threadsafe metric registration use GetOrRegister:
t := metrics.GetOrRegisterTimer("account.create.latency", nil)
t.Time(func() {})
t.Update(47)
NOTE: Be sure to unregister short-lived meters and timers otherwise they will leak memory:
// Will call Stop() on the Meter to allow for garbage collection
metrics.Unregister("quux")
// Or similarly for a Timer that embeds a Meter
metrics.Unregister("bang")
Periodically log every metric in human-readable form to standard error:
go metrics.Log(metrics.DefaultRegistry, 5 * time.Second, log.New(os.Stderr, "metrics: ", log.Lmicroseconds))
Periodically log every metric in slightly-more-parseable form to syslog:
w, _ := syslog.Dial("unixgram", "/dev/log", syslog.LOG_INFO, "metrics")
go metrics.Syslog(metrics.DefaultRegistry, 60e9, w)
Periodically emit every metric to Graphite using the Graphite client:
import "github.com/cyberdelia/go-metrics-graphite"
addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
go graphite.Graphite(metrics.DefaultRegistry, 10e9, "metrics", addr)
Periodically emit every metric into InfluxDB:
NOTE: this has been pulled out of the library due to constant fluctuations in the InfluxDB API. In fact, all client libraries are on their way out. see issues #121 and #124 for progress and details.
import "github.com/vrischmann/go-metrics-influxdb"
go influxdb.InfluxDB(metrics.DefaultRegistry,
10e9,
"127.0.0.1:8086",
"database-name",
"username",
"password"
)
Periodically upload every metric to Librato using the Librato client:
Note: the client included with this repository under the librato
package
has been deprecated and moved to the repository linked above.
import "github.com/mihasya/go-metrics-librato"
go librato.Librato(metrics.DefaultRegistry,
10e9, // interval
"[email protected]", // account owner email address
"token", // Librato API token
"hostname", // source
[]float64{0.95}, // percentiles to send
time.Millisecond, // time unit
)
Periodically emit every metric to StatHat:
import "github.com/rcrowley/go-metrics/stathat"
go stathat.Stathat(metrics.DefaultRegistry, 10e9, "[email protected]")
Maintain all metrics along with expvars at /debug/metrics
:
This uses the same mechanism as the official expvar
but exposed under /debug/metrics
, which shows a json representation of all your usual expvars
as well as all your go-metrics.
import "github.com/rcrowley/go-metrics/exp"
exp.Exp(metrics.DefaultRegistry)
Installation
go get github.com/rcrowley/go-metrics
StatHat support additionally requires their Go client:
go get github.com/stathat/go
Publishing Metrics
Clients are available for the following destinations:
- AppOptics - https://github.com/ysamlan/go-metrics-appoptics
- Librato - https://github.com/mihasya/go-metrics-librato
- Graphite - https://github.com/cyberdelia/go-metrics-graphite
- InfluxDB - https://github.com/vrischmann/go-metrics-influxdb
- Ganglia - https://github.com/appscode/metlia
- Prometheus - https://github.com/deathowl/go-metrics-prometheus
- DataDog - https://github.com/syntaqx/go-metrics-datadog
- SignalFX - https://github.com/pascallouisperez/go-metrics-signalfx
- Honeycomb - https://github.com/getspine/go-metrics-honeycomb
- Wavefront - https://github.com/wavefrontHQ/go-metrics-wavefront
- Open-Falcon - https://github.com/g4zhuj/go-metrics-falcon
- AWS CloudWatch - https://github.com/savaki/cloudmetrics