Laravel (and Lumen) Prometheus Exporter

Version Compatibility

Releases	PHP
3.x	^8.1;
4.x	^8.2;

A prometheus exporter package for Laravel and Lumen.

Introduction

Prometheus is a time-series database with a UI and sophisticated querying language (PromQL) that can scrape metrics, counters, gauges and histograms over HTTP.

This package is a wrapper bridging jimdo/prometheus_client_php into Laravel and Lumen.

Example

Head to examples/lumen-app to check out our awesome example application. To get it you'll have to clone the Laravel Prometheus Exporter repo, as the example is not included when downloaded from composer.

The example is a full project containing it's own README.md so you can check the library's functionality and the way it's intended to be used.

Installation

Laravel 10

Install via composer

Run the following command:

composer require arquivei/laravel-prometheus-exporter

Add service provider

Add the service provider to the providers array in the config/app.php config file as follows:

'providers' => [

    ...
    
    Arquivei\LaravelPrometheusExporter\PrometheusServiceProvider::class,
]

Publish the config

Run the following command:

  php artisan vendor:publish --provider="Arquivei\LaravelPrometheusExporter\PrometheusServiceProvider"

You should now have a config/prometheus.php.

Laravel 9 or below

Add the repository to composer.json

"repositories": [
  {
    "type": "vcs",
    "url": "https://github.com/arquivei/laravel-prometheus-exporter"
  }
],

Install the package via composer

composer require arquivei/laravel-prometheus-exporter

After that you may enable facades and register the facade in your application's bootstrap/app.php

$userAliases = [
    // ...
    Arquivei\LaravelPrometheusExporter\PrometheusFacade::class => 'Prometheus',
];
$app->withFacades(true, $userAliases);

Then you should register the service provider in bootstrap/app.php

$app->register(Arquivei\LaravelPrometheusExporter\PrometheusServiceProvider::class);

Please see below for instructions on how to enable metrics on Application routes, Guzzle calls and SQL queries.

Configuration

The package has a default configuration which uses the following environment variables.

PROMETHEUS_NAMESPACE=app

PROMETHEUS_METRICS_ROUTE_ENABLED=true
PROMETHEUS_METRICS_ROUTE_PATH=metrics
PROMETHEUS_METRICS_ROUTE_MIDDLEWARE=null
PROMETHEUS_COLLECT_FULL_SQL_QUERY=true
PROMETHEUS_STORAGE_ADAPTER=memory

PROMETHEUS_REDIS_HOST=localhost
PROMETHEUS_REDIS_PORT=6379
PROMETHEUS_REDIS_TIMEOUT=0.1
PROMETHEUS_REDIS_READ_TIMEOUT=10
PROMETHEUS_REDIS_PERSISTENT_CONNECTIONS=0
PROMETHEUS_REDIS_PREFIX=PROMETHEUS_

To customize the configuration values you can either override the environment variables above (usually this is done in your application's .env file), or you can copy the included prometheus.php to config/prometheus.php, edit it and use it in your application as follows:

$app->loadComponent('prometheus', [
    Arquivei\LaravelPrometheusExporter\PrometheusServiceProvider::class
]);

Metrics

The package allows you to observe metrics on:

• Application routes. Metrics on request method, request path and status code.
• Guzzle calls. Metrics on request method, URI and status code.
• SQL queries. Metrics on SQL query and query type.

In order to observe metrics in application routes (the time between a request and response), you should register the following middleware in your application's bootstrap/app.php:

$app->middleware([
    Arquivei\LaravelPrometheusExporter\RouteMiddleware::class,
]);

The labels exported are

[
    'method',
    'route',
    'status_code',
]

To observe Guzzle metrics, you should register the following provider in bootstrap/app.php:

$app->register(Arquivei\LaravelPrometheusExporter\GuzzleServiceProvider::class);

The labels exported are

[
    'method',
    'external_endpoint',
    'status_code'
]

To observe SQL metrics, you should register the following provider in bootstrap/app.php:

$app->register(Arquivei\LaravelPrometheusExporter\DatabaseServiceProvider::class);

The labels exported are

[
    'query',
    'query_type',
]

Note: you can disable logging the full query by turning off the configuration of PROMETHEUS_COLLECT_FULL_SQL_QUERY.

Storage Adapters

The storage adapter is used to persist metrics across requests. The memory adapter is enabled by default, meaning data will only be persisted across the current request.

We recommend using the redis or apc adapter in production environments. Of course your installation has to provide a Redis or APC implementation.

The PROMETHEUS_STORAGE_ADAPTER environment variable is used to specify the storage adapter.

If redis is used, the PROMETHEUS_REDIS_HOST and PROMETHEUS_REDIS_PORT vars also need to be configured. Optionally you can change the PROMETHEUS_REDIS_TIMEOUT, PROMETHEUS_REDIS_READ_TIMEOUT and PROMETHEUS_REDIS_PERSISTENT_CONNECTIONS variables.

Exporting Metrics

The package adds a /metrics endpoint, enabled by default, which exposes all metrics gathered by collectors.

This can be turned on/off using the PROMETHEUS_METRICS_ROUTE_ENABLED environment variable, and can also be changed using the PROMETHEUS_METRICS_ROUTE_PATH environment variable.

Collectors

A collector is a class, implementing the CollectorInterface, which is responsible for collecting data for one or many metrics.

Please see the Example included below.

You can auto-load your collectors by adding them to the collectors array in the prometheus.php config.

Examples

Example usage

This is an example usage for a Lumen application

// retrieve the exporter (you can also use app('prometheus') or Prometheus::getFacadeRoot())
$exporter = app(\Arquivei\LaravelPrometheusExporter\PrometheusExporter::class);

// register a new collector
$collector = new \My\New\Collector();
$exporter->registerCollector($collector);

// retrieve all collectors
var_dump($exporter->getCollectors());

// retrieve a collector by name
$collector = $exporter->getCollector('user');

// export all metrics
// this is called automatically when the /metrics end-point is hit
var_dump($exporter->export());

// the following methods can be used to create and interact with counters, gauges and histograms directly
// these methods will typically be called by collectors, but can be used to register any custom metrics directly,
// without the need of a collector

// create a counter
$counter = $exporter->registerCounter('search_requests_total', 'The total number of search requests.');
$counter->inc(); // increment by 1
$counter->incBy(2);

// create a counter (with labels)
$counter = $exporter->registerCounter('search_requests_total', 'The total number of search requests.', ['request_type']);
$counter->inc(['GET']); // increment by 1
$counter->incBy(2, ['GET']);

// retrieve a counter
$counter = $exporter->getCounter('search_requests_total');

// create a gauge
$gauge = $exporter->registerGauge('users_online_total', 'The total number of users online.');
$gauge->inc(); // increment by 1
$gauge->incBy(2);
$gauge->dec(); // decrement by 1
$gauge->decBy(2);
$gauge->set(36);

// create a gauge (with labels)
$gauge = $exporter->registerGauge('users_online_total', 'The total number of users online.', ['group']);
$gauge->inc(['staff']); // increment by 1
$gauge->incBy(2, ['staff']);
$gauge->dec(['staff']); // decrement by 1
$gauge->decBy(2, ['staff']);
$gauge->set(36, ['staff']);

// retrieve a gauge
$counter = $exporter->getGauge('users_online_total');

// create a histogram
$histogram = $exporter->registerHistogram(
    'response_time_seconds',
    'The response time of a request.',
    [],
    [0.1, 0.25, 0.5, 0.75, 1.0, 2.5, 5.0, 7.5, 10.0]
);
// the buckets must be in asc order
// if buckets aren't specified, the default 0.005, 0.01, 0.025, 0.05, 0.075, 0.1, 0.25, 0.5, 0.75, 1.0, 2.5, 5.0, 7.5, 10.0 buckets will be used
$histogram->observe(5.0);

// create a histogram (with labels)
$histogram = $exporter->registerHistogram(
    'response_time_seconds',
    'The response time of a request.',
    ['request_type'],
    [0.1, 0.25, 0.5, 0.75, 1.0, 2.5, 5.0, 7.5, 10.0]
);
// the buckets must be in asc order
// if buckets aren't specified, the default 0.005, 0.01, 0.025, 0.05, 0.075, 0.1, 0.25, 0.5, 0.75, 1.0, 2.5, 5.0, 7.5, 10.0 buckets will be used
$histogram->observe(5.0, ['GET']);

// retrieve a histogram
$counter = $exporter->getHistogram('response_time_seconds');

Collector

This is an example collector implementation:

<?php

declare(strict_types = 1);

namespace Arquivei\LaravelPrometheusExporter;

use Prometheus\Gauge;

class ExampleCollector implements CollectorInterface
{
    /**
     * @var Gauge
     */
    protected $usersRegisteredGauge;

    /**
     * Return the name of the collector.
     *
     * @return string
     */
    public function getName() : string
    {
        return 'users';
    }

    /**
     * Register all metrics associated with the collector.
     *
     * The metrics needs to be registered on the exporter object.
     * eg:
     * ```php
     * $exporter->registerCounter('search_requests_total', 'The total number of search requests.');
     * ```
     *
     * @param PrometheusExporter $exporter
     */
    public function registerMetrics(PrometheusExporter $exporter) : void
    {
        $this->usersRegisteredGauge = $exporter->registerGauge(
            'users_registered_total',
            'The total number of registered users.',
            ['group']
        );
    }

    /**
     * Collect metrics data, if need be, before exporting.
     *
     * As an example, this may be used to perform time consuming database queries and set the value of a counter
     * or gauge.
     */
    public function collect() : void
    {
        // retrieve the total number of staff users registered
        // eg: $totalUsers = Users::where('group', 'staff')->count();
        $this->usersRegisteredGauge->set(36, ['staff']);

        // retrieve the total number of regular users registered
        // eg: $totalUsers = Users::where('group', 'regular')->count();
        $this->usersRegisteredGauge->set(192, ['regular']);
    }
}