@zebrainy/express-prometheus-middleware
v2.0.2
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RED/USE metrics for express applications
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Express Prometheus Middleware
This is a middleware for express servers, that expose metrics for prometheus.
The metrics exposed allows to calculate common RED (Request, Error rate, Duration of requests), and USE (Utilisation, Error rate, and Saturation), metrics
Install
yarn add express-prometheus-middleware
# or
npm i --save express-prometheus-middleware
Usage
Options
| Name | Description | Default |
| :-: | :- | :- |
| metricsPath | Url route that will expose the metrics for scraping. | /metrics
|
| metricsApp | Express app that will expose metrics endpoint, if an app is provided, use it, instead of instantiating a new one | null
|
| collectDefaultMetrics | Whether or not to collect prom-client
default metrics. These metrics are usefull for collecting saturation metrics, for example. | true
|
| collectGCMetrics | Whether or not to collect garbage collection metrics via module prometheus-gc-stats
. Dependency prometheus-gc-stats
is marked as optional, hence if this option is set to true
but npm/yarn could not install the dependency, no garbage collection metric will be collected. | false
|
| requestDurationBuckets | Buckets for the request duration metrics (in seconds) histogram | Uses prom-client
utility: Prometheus.exponentialBuckets(0.05, 1.75, 8)
|
| requestLengthBuckets | Buckets for the request length metrics (in bytes) histogram | no buckets (The request length metrics are not collected): []
|
| responseLengthBuckets | Buckets for the response length metrics (in bytes) histogram | no buckets (The response length metrics are not collected) []
|
| extraMasks | Optional, list of regexes to be used as argument to url-value-parser, this will cause extra route params, to be replaced with a #val
placeholder. | no extra masks: []
|
| authenticate | Optional authentication callback, the function should receive as argument, the req
object and return truthy for sucessfull authentication, or falsy, otherwise. This option supports Promise results. | null
|
| prefix | Optional prefix for the metrics name | no prefix added |
| customLabels | Optional Array containing extra labels, used together with transformLabels
| no extra labels: []
|
| transformLabels | Optional function(labels, req, res)
adds to the labels object dynamic values for each label in customLabels
| null
|
| normalizeStatus | Optional parameter to disable normalization of the status code. Example of normalized and non-normalized status code respectively: 4xx and 422.| true
Example
const express = require('express');
const promMid = require('express-prometheus-middleware');
const app = express();
const PORT = 9091;
app.use(promMid({
metricsPath: '/metrics',
collectDefaultMetrics: true,
requestDurationBuckets: [0.1, 0.5, 1, 1.5],
requestLengthBuckets: [512, 1024, 5120, 10240, 51200, 102400],
responseLengthBuckets: [512, 1024, 5120, 10240, 51200, 102400],
/**
* Uncomenting the `authenticate` callback will make the `metricsPath` route
* require authentication. This authentication callback can make a simple
* basic auth test, or even query a remote server to validate access.
* To access /metrics you could do:
* curl -X GET user:password@localhost:9091/metrics
*/
// authenticate: req => req.headers.authorization === 'Basic dXNlcjpwYXNzd29yZA==',
/**
* Uncommenting the `extraMasks` config will use the list of regexes to
* reformat URL path names and replace the values found with a placeholder value
*/
// extraMasks: [/..:..:..:..:..:../],
/**
* The prefix option will cause all metrics to have the given prefix.
* E.g.: `app_prefix_http_requests_total`
*/
// prefix: 'app_prefix_',
/**
* Can add custom labels with customLabels and transformLabels options
*/
// customLabels: ['contentType'],
// transformLabels(labels, req) {
// // eslint-disable-next-line no-param-reassign
// labels.contentType = req.headers['content-type'];
// },
}));
// curl -X GET localhost:9091/hello?name=Chuck%20Norris
app.get('/hello', (req, res) => {
console.log('GET /hello');
const { name = 'Anon' } = req.query;
res.json({ message: `Hello, ${name}!` });
});
app.listen(PORT, () => {
console.log(`Example api is listening on http://localhost:${PORT}`);
});
Metrics exposed
- Default metrics from prom-client
http_requests_total
: Counter for total requests received, has labelsroute
,method
,status
http_request_duration_seconds
: - Duration of HTTP requests in seconds, has labelsroute
,method
,status
The labels route
and status
are normalized:
route
: will normalize id like route paramsstatus
: will normalize to status code family groups, like2XX
or4XX
.
Example prometheus queries
In the examples below, Suppose you tagged your application as "myapp", in the prometheus scrapping config.
Running instances
sum(up{app="myapp"})
Overall error rate
Rate of http status code 5XX responses
sum(rate(http_requests_total{status="5XX", app="myapp"}[5m]))
95% of requests served within seconds
histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket{app="myapp"}[5m])) by (le))
95% of request length
histogram_quantile(0.95, sum(rate(http_request_length_bytes_bucket{app="myapp"}[5m])) by (le))
95% of response length
histogram_quantile(0.95, sum(rate(http_response_length_bytes_bucket{app="myapp"}[5m])) by (le))
Average response time in seconds
sum(rate(http_request_duration_seconds_sum{app="myapp"}[5m])) by (instance) / sum(rate(http_request_duration_seconds_count{app="myapp"}[5m])) by (instance)
Overall Request rate
sum(rate(http_requests_total{app="myapp"}[5m])) by (instance)
Request rate by route
In this example we are removing some health/status-check routes, replace them with your needs.
sum(rate(http_requests_total{app="myapp", route!~"/|/healthz"}[5m])) by (instance, route)
CPU usage
rate(process_cpu_system_seconds_total{app="myapp"}[5m])
rate(process_cpu_user_seconds_total{app="myapp"}[5m])
Memory usage
nodejs_heap_size_total_bytes{app="myapp"}
nodejs_heap_size_used_bytes{app="myapp"}