Prometheus metric library for Nginx

This is a Lua library that can be used with Nginx to keep track of metrics and expose them on a separate web page to be pulled by Prometheus.

Installation

You need to install nginx package with lua support (libnginx-mod-http-lua on newer Debian versions, or nginx-extras on older ones). The library file, prometheus.lua, needs to be available in LUA_PATH. If this is the only Lua library you use, you can just point lua_package_path to the directory with this git repo checked out (see example below).

OpenResty users will find this library in opm. It is also available via luarocks.

Quick start guide

To track request latency broken down by server name and request count broken down by server name and status, add the following to the http section of nginx.conf:

lua_shared_dict prometheus_metrics 10M;
lua_package_path "/path/to/nginx-lua-prometheus/?.lua";
init_by_lua '
  prometheus = require("prometheus").init("prometheus_metrics")
  metric_requests = prometheus:counter(
    "nginx_http_requests_total", "Number of HTTP requests", {"host", "status"})
  metric_latency = prometheus:histogram(
    "nginx_http_request_duration_seconds", "HTTP request latency", {"host"})
  metric_connections = prometheus:gauge(
    "nginx_http_connections", "Number of HTTP connections", {"state"})
';
log_by_lua '
  metric_requests:inc(1, {ngx.var.server_name, ngx.var.status})
  metric_latency:observe(tonumber(ngx.var.request_time), {ngx.var.server_name})
';

This:

• configures a shared dictionary for your metrics called prometheus_metrics with a 10MB size limit;
• registers a counter called nginx_http_requests_total with two labels: host and status;
• registers a histogram called nginx_http_request_duration_seconds with one label host;
• registers a gauge called nginx_http_connections with one label state;
• on each HTTP request measures its latency, recording it in the histogram and increments the counter, setting current server name as the host label and HTTP status code as the status label.

Last step is to configure a separate server that will expose the metrics. Please make sure to only make it reachable from your Prometheus server:

server {
  listen 9145;
  allow 192.168.0.0/16;
  deny all;
  location /metrics {
    content_by_lua '
      metric_connections:set(ngx.var.connections_reading, {"reading"})
      metric_connections:set(ngx.var.connections_waiting, {"waiting"})
      metric_connections:set(ngx.var.connections_writing, {"writing"})
      prometheus:collect()
    ';
  }
}

Metrics will be available at http://your.nginx:9145/metrics. Note that the gauge metric in this example contains values obtained from nginx global state, so they get set immediately before metrics are returned to the client.

If you experience problems indicating that nginx doesn't know how to interpret lua-commands and you use an external module for nginx-lua-support (e.g. the libnginx-mod-http-lua package on Debian) try adding

load_module modules/ndk_http_module.so;
load_module modules/ngx_http_lua_module.so;

to the beginning of nginx.conf to ensure the modules are loaded.

API reference

init()

syntax: require("prometheus").init(dict_name, [prefix])

Initializes the module. This should be called once from the init_by_lua section in nginx configuration.

• dict_name is the name of the nginx shared dictionary which will be used to store all metrics. Defaults to prometheus_metrics if not specified.
• prefix is an optional string which will be prepended to metric names on output

Returns a prometheus object that should be used to register metrics.

Example:

init_by_lua '
  prometheus = require("prometheus").init("prometheus_metrics")
';

prometheus:counter()

syntax: prometheus:counter(name, description, label_names)

Registers a counter. Should be called once from the init_by_lua section.

• name is the name of the metric.
• description is the text description that will be presented to Prometheus along with the metric. Optional (pass nil if you still need to define label names).
• label_names is an array of label names for the metric. Optional.

Naming section of Prometheus documentation provides good guidelines on choosing metric and label names.

Returns a counter object that can later be incremented.

Example:

init_by_lua '
  prometheus = require("prometheus").init("prometheus_metrics")
  metric_bytes = prometheus:counter(
    "nginx_http_request_size_bytes", "Total size of incoming requests")
  metric_requests = prometheus:counter(
    "nginx_http_requests_total", "Number of HTTP requests", {"host", "status"})
';

prometheus:gauge()

syntax: prometheus:gauge(name, description, label_names)

Registers a gauge. Should be called once from the init_by_lua section.

• name is the name of the metric.
• description is the text description that will be presented to Prometheus along with the metric. Optional (pass nil if you still need to define label names).
• label_names is an array of label names for the metric. Optional.

Returns a gauge object that can later be set.

Example:

init_by_lua '
  prometheus = require("prometheus").init("prometheus_metrics")
  metric_connections = prometheus:gauge(
    "nginx_http_connections", "Number of HTTP connections", {"state"})
';

prometheus:histogram()

syntax: prometheus:histogram(name, description, label_names, buckets)

Registers a histogram. Should be called once from the init_by_lua section.

• name is the name of the metric.
• description is the text description. Optional.
• label_names is an array of label names for the metric. Optional.
• buckets is an array of numbers defining bucket boundaries. Optional, defaults to 20 latency buckets covering a range from 5ms to 10s (in seconds).

Returns a histogram object that can later be used to record samples.

Example:

init_by_lua '
  prometheus = require("prometheus").init("prometheus_metrics")
  metric_latency = prometheus:histogram(
    "nginx_http_request_duration_seconds", "HTTP request latency", {"host"})
  metric_response_sizes = prometheus:histogram(
    "nginx_http_response_size_bytes", "Size of HTTP responses", nil,
    {10,100,1000,10000,100000,1000000})
';

prometheus:collect()

syntax: prometheus:collect()

Presents all metrics in a text format compatible with Prometheus. This should be called in content_by_lua to expose the metrics on a separate HTTP page.

Example:

location /metrics {
  content_by_lua 'prometheus:collect()';
  allow 192.168.0.0/16;
  deny all;
}

prometheus:metric_data()

syntax: prometheus:metric_data()

Returns metric data as an array of strings.

counter:inc()

syntax: counter:inc(value, label_values)

Increments a previously registered counter. This is usually called from log_by_lua globally or per server/location.

• value is a value that should be added to the counter. Defaults to 1.
• label_values is an array of label values.

The number of label values should match the number of label names defined when the counter was registered using prometheus:counter(). No label values should be provided for counters with no labels. Non-printable characters will be stripped from label values.

Example:

log_by_lua '
  metric_bytes:inc(tonumber(ngx.var.request_length))
  metric_requests:inc(1, {ngx.var.server_name, ngx.var.status})
';

gauge:set()

syntax: gauge:set(value, label_values)

Sets the current value of a previously registered gauge. This could be called from log_by_lua globally or per server/location to modify a gauge on each request, or from content_by_lua just before prometheus::collect() to return a real-time value.

• value is a value that the gauge should be set to. Required.
• label_values is an array of label values.

histogram:observe()

syntax: histogram:observe(value, label_values)

Records a value in a previously registered histogram. Usually called from log_by_lua globally or per server/location.

• value is a value that should be recorded. Required.
• label_values is an array of label values.

Example:

log_by_lua '
  metric_latency:observe(tonumber(ngx.var.request_time), {ngx.var.server_name})
  metric_response_sizes:observe(tonumber(ngx.var.bytes_sent))
';

Built-in metrics

The module increments the nginx_metric_errors_total metric if it encounters an error (for example, when lua_shared_dict becomes full). You might want to configure an alert on that metric.

Caveats

Large number of metrics

Please keep in mind that all metrics stored by this library are kept in a single shared dictionary (lua_shared_dict). While exposing metrics the module has to list all dictionary keys, which has serious performance implications for dictionaries with large number of keys (in this case this means large number of metrics OR metrics with high label cardinality). Listing the keys has to lock the dictionary, which blocks all threads that try to access it (i.e. potentially all nginx worker threads).

There is no elegant solution to this issue (besides keeping metrics in a separate storage system external to nginx), so for latency-critical servers you might want to keep the number of metrics (and distinct metric label values) to a minimum.

Usage in stream module

For now, there is no way to share a dictionary between HTTP and Stream modules in Nginx. If you are using this library to collect metrics from stream module, you will need to configure a separate endpoint to return them. Here's an example.

server {
  listen 9145;
  content_by_lua '
    local sock = assert(ngx.req.socket(true))
    local data = sock:receive()
    local location = "GET /metrics"
    if string.sub(data, 1, string.len(location)) == location then
      ngx.say("HTTP/1.1 200 OK")
      ngx.say("Content-Type: text/plain")
      ngx.say("")
      ngx.say(table.concat(prometheus:metric_data(), ""))
    else
      ngx.say("HTTP/1.1 404 Not Found")
    end
  ';
  }

Development

Install dependencies for testing

• luarocks install luacheck
• luarocks install luaunit

Run tests

• luacheck --globals ngx -- prometheus.lua
• lua prometheus_test.lua

Credits

• Created and maintained by Anton Tolchanov (@knyar)
• Metrix prefix support contributed by david birdsong (@davidbirdsong)
• Gauge support contributed by Cosmo Petrich (@cosmopetrich)

License

Licensed under MIT license.