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vendored changes
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92
vendor/github.com/prometheus/client_golang/prometheus/doc.go
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vendor/github.com/prometheus/client_golang/prometheus/doc.go
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@ -11,13 +11,15 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Package prometheus provides metrics primitives to instrument code for
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// monitoring. It also offers a registry for metrics. Sub-packages allow to
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// expose the registered metrics via HTTP (package promhttp) or push them to a
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// Pushgateway (package push).
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// Package prometheus is the core instrumentation package. It provides metrics
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// primitives to instrument code for monitoring. It also offers a registry for
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// metrics. Sub-packages allow to expose the registered metrics via HTTP
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// (package promhttp) or push them to a Pushgateway (package push). There is
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// also a sub-package promauto, which provides metrics constructors with
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// automatic registration.
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//
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// All exported functions and methods are safe to be used concurrently unless
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//specified otherwise.
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// specified otherwise.
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//
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// A Basic Example
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//
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@ -26,6 +28,7 @@
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// package main
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//
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// import (
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// "log"
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// "net/http"
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//
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// "github.com/prometheus/client_golang/prometheus"
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@ -59,7 +62,7 @@
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// // The Handler function provides a default handler to expose metrics
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// // via an HTTP server. "/metrics" is the usual endpoint for that.
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// http.Handle("/metrics", promhttp.Handler())
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// http.ListenAndServe(":8080", nil)
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// log.Fatal(http.ListenAndServe(":8080", nil))
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// }
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//
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//
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@ -69,9 +72,12 @@
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// Metrics
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//
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// The number of exported identifiers in this package might appear a bit
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// overwhelming. Hovever, in addition to the basic plumbing shown in the example
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// overwhelming. However, in addition to the basic plumbing shown in the example
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// above, you only need to understand the different metric types and their
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// vector versions for basic usage.
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// vector versions for basic usage. Furthermore, if you are not concerned with
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// fine-grained control of when and how to register metrics with the registry,
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// have a look at the promauto package, which will effectively allow you to
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// ignore registration altogether in simple cases.
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//
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// Above, you have already touched the Counter and the Gauge. There are two more
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// advanced metric types: the Summary and Histogram. A more thorough description
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@ -95,8 +101,8 @@
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// SummaryVec, HistogramVec, and UntypedVec are not.
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//
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// To create instances of Metrics and their vector versions, you need a suitable
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// …Opts struct, i.e. GaugeOpts, CounterOpts, SummaryOpts,
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// HistogramOpts, or UntypedOpts.
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// …Opts struct, i.e. GaugeOpts, CounterOpts, SummaryOpts, HistogramOpts, or
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// UntypedOpts.
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//
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// Custom Collectors and constant Metrics
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//
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// Metric instances “on the fly” using NewConstMetric, NewConstHistogram, and
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// NewConstSummary (and their respective Must… versions). That will happen in
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// the Collect method. The Describe method has to return separate Desc
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// instances, representative of the “throw-away” metrics to be created
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// later. NewDesc comes in handy to create those Desc instances.
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// instances, representative of the “throw-away” metrics to be created later.
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// NewDesc comes in handy to create those Desc instances. Alternatively, you
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// could return no Desc at all, which will marke the Collector “unchecked”. No
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// checks are porformed at registration time, but metric consistency will still
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// be ensured at scrape time, i.e. any inconsistencies will lead to scrape
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// errors. Thus, with unchecked Collectors, the responsibility to not collect
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// metrics that lead to inconsistencies in the total scrape result lies with the
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// implementer of the Collector. While this is not a desirable state, it is
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// sometimes necessary. The typical use case is a situatios where the exact
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// metrics to be returned by a Collector cannot be predicted at registration
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// time, but the implementer has sufficient knowledge of the whole system to
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// guarantee metric consistency.
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//
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// The Collector example illustrates the use case. You can also look at the
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// source code of the processCollector (mirroring process metrics), the
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@ -129,34 +145,34 @@
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// Advanced Uses of the Registry
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//
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// While MustRegister is the by far most common way of registering a Collector,
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// sometimes you might want to handle the errors the registration might
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// cause. As suggested by the name, MustRegister panics if an error occurs. With
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// the Register function, the error is returned and can be handled.
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// sometimes you might want to handle the errors the registration might cause.
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// As suggested by the name, MustRegister panics if an error occurs. With the
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// Register function, the error is returned and can be handled.
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//
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// An error is returned if the registered Collector is incompatible or
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// inconsistent with already registered metrics. The registry aims for
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// consistency of the collected metrics according to the Prometheus data
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// model. Inconsistencies are ideally detected at registration time, not at
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// collect time. The former will usually be detected at start-up time of a
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// program, while the latter will only happen at scrape time, possibly not even
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// on the first scrape if the inconsistency only becomes relevant later. That is
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// the main reason why a Collector and a Metric have to describe themselves to
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// the registry.
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// consistency of the collected metrics according to the Prometheus data model.
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// Inconsistencies are ideally detected at registration time, not at collect
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// time. The former will usually be detected at start-up time of a program,
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// while the latter will only happen at scrape time, possibly not even on the
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// first scrape if the inconsistency only becomes relevant later. That is the
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// main reason why a Collector and a Metric have to describe themselves to the
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// registry.
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//
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// So far, everything we did operated on the so-called default registry, as it
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// can be found in the global DefaultRegistry variable. With NewRegistry, you
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// can be found in the global DefaultRegisterer variable. With NewRegistry, you
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// can create a custom registry, or you can even implement the Registerer or
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// Gatherer interfaces yourself. The methods Register and Unregister work in
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// the same way on a custom registry as the global functions Register and
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// Unregister on the default registry.
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// Gatherer interfaces yourself. The methods Register and Unregister work in the
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// same way on a custom registry as the global functions Register and Unregister
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// on the default registry.
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//
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// There are a number of uses for custom registries: You can use registries
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// with special properties, see NewPedanticRegistry. You can avoid global state,
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// as it is imposed by the DefaultRegistry. You can use multiple registries at
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// the same time to expose different metrics in different ways. You can use
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// There are a number of uses for custom registries: You can use registries with
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// special properties, see NewPedanticRegistry. You can avoid global state, as
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// it is imposed by the DefaultRegisterer. You can use multiple registries at
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// the same time to expose different metrics in different ways. You can use
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// separate registries for testing purposes.
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//
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// Also note that the DefaultRegistry comes registered with a Collector for Go
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// Also note that the DefaultRegisterer comes registered with a Collector for Go
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// runtime metrics (via NewGoCollector) and a Collector for process metrics (via
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// NewProcessCollector). With a custom registry, you are in control and decide
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// yourself about the Collectors to register.
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// The Registry implements the Gatherer interface. The caller of the Gather
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// method can then expose the gathered metrics in some way. Usually, the metrics
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// are served via HTTP on the /metrics endpoint. That's happening in the example
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// above. The tools to expose metrics via HTTP are in the promhttp
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// sub-package. (The top-level functions in the prometheus package are
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// deprecated.)
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// above. The tools to expose metrics via HTTP are in the promhttp sub-package.
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// (The top-level functions in the prometheus package are deprecated.)
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//
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// Pushing to the Pushgateway
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//
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// Function for pushing to the Pushgateway can be found in the push sub-package.
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//
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// Graphite Bridge
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//
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// Functions and examples to push metrics from a Gatherer to Graphite can be
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// found in the graphite sub-package.
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//
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// Other Means of Exposition
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//
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// More ways of exposing metrics can easily be added. Sending metrics to
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// Graphite would be an example that will soon be implemented.
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// More ways of exposing metrics can easily be added by following the approaches
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// of the existing implementations.
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package prometheus
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