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diff --git a/lib/prometheus.ex b/lib/prometheus.ex
index 1445c55..0b7f950 100644
--- a/lib/prometheus.ex
+++ b/lib/prometheus.ex
@@ -1,121 +1,121 @@
defmodule Prometheus do
@moduledoc"""
- [Prometheus.io](http://prometheus.io) client library powered by
+ [Prometheus.io](https://prometheus.io) client library powered by
[prometheus.erl](https://hexdocs.pm/prometheus)
Prometheus.ex is a thin, mostly macro-based wrapper around prometheus.erl.
While it's pretty straightforward to use prometheus.erl from Elixir,
you might prefer prometheus.ex because it gives you:
- native Elixir syntax;
- native Elixir exceptions;
- configuration helpers that are really handy if you plan to write your custom
instrumenter.
```elixir
defmodule ExampleInstrumenter do
use Prometheus ## require common Prometheus modules, also alias metrics.
def setup do
Histogram.new([name: :http_request_duration_milliseconds,
labels: [:method],
buckets: [100, 300, 500, 750, 1000],
help: "Http Request execution time"])
end
def instrument(%{time: time, method: method}) do
Histogram.observe([name: :http_request_duration_milliseconds,
labels: [method]],
time)
end
end
```
## Integrations
- [Ecto Instrumenter](https://hex.pm/packages/prometheus_ecto);
- [Elixir plugs Instrumenters and Exporter](https://hex.pm/packages/prometheus_plugs);
- [Fuse plugin](https://github.com/jlouis/fuse#fuse_stats_prometheus)
- [OS process info Collector](https://hex.pm/packages/prometheus_process_collector)
(linux-only);
- [Phoenix Instrumenter](https://hex.pm/packages/prometheus_phoenix);
- [RabbitMQ Exporter](https://github.com/deadtrickster/prometheus_rabbitmq_exporter).
## Erlang VM Collectors
- [Memory Collector](vm-memory-collector.html);
- [Statistics Collector](vm-statistics-collector.html);
- [System Information Collector](vm-system-info-collector.html).
## API
API can be grouped like this:
### Standard Metrics & Registry
- `Prometheus.Metric.Counter` - counter metric, to track counts of events or running
totals;
- `Prometheus.Metric.Gauge` - histogram metric, to track distributions of events;
- `Prometheus.Metric.Histogram` - gauge metric, to report instantaneous values;
- `Prometheus.Metric.Summary` - summary metric, to track the size of events;
- `Prometheus.Registry` - working with Prometheus registries.
All metrics created via `new/1` or `declare/1` macros. The difference is that `new/1`
actually wants metric to be new and raises `Prometheus.MFAlreadyExistsError`
if it isn't.
Both `new/1` and `declare/1` accept options as
[Keyword](http://elixir-lang.org/docs/stable/elixir/Keyword.html).
Common options are:
- name - metric name, can be an atom or a string (required);
- help - metric help, string (required);
- labels - metric labels, label can be an atom or a string (default is []);
- registry - Prometheus registry for the metric, can be any term. (default is :default)
Histogram also accepts `buckets` option. Please refer to respective modules docs
for the more information.
### General Helpers
- `Prometheus.Buckets` - linear or exponential bucket generators;
- `Prometheus.Contrib.HTTP` - helpers for HTTP instrumenters.
### Integration Helpers
- `Prometheus.Config` - provides standard configuration mechanism
for custom instrumenters/exporters.
### Exposition Formats
- `Prometheus.Format.Text` - renders metrics for a given registry
(default is `:default`) in text format;
- `Prometheus.Format.Protobuf` - renders metrics for a given registry
(default is `:default`) in protobuf v2 format.
### Advanced
You will need this modules only if you're writing custom collector for app/lib
that can't be instrumented directly.
- `Prometheus.Collector` - exports macros for managing/creating collectors;
- `Prometheus.Model` - provides API for working with underlying Prometheus models.
You'll use that if you want to create custom collector.
"""
defmacro __using__(_opts) do
quote do
require Prometheus.Collector
require Prometheus.Registry
require Prometheus.Buckets
use Prometheus.Metric
require Prometheus.Contrib.HTTP
require Prometheus.Contrib.Mnesia
end
end
end

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