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.
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.
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
andstatus
; - registers a histogram called
nginx_http_request_duration_seconds
with one labelhost
; - registers a gauge called
nginx_http_connections
with one labelstate
; - 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 thestatus
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.
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 toprometheus_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")
';
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 (passnil
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"})
';
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 (passnil
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"})
';
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})
';
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;
}
syntax: prometheus:metric_data()
Returns metric data as an array of strings.
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})
';
syntax: counter:del(label_values)
Delete a previously registered counter. This is usually called when you don't
need to observe such counter (or a metric with specific label values in this
counter) any more. If this counter has labels, you have to pass label_values
to delete the specific metric of this counter. If you want to delete all the
metrics of a counter with labels, you should call Counter:reset()
.
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.
syntax: counter:reset()
Delete all metrics for a previously registered counter. If this counter have no
labels, it is just the same as Counter:del()
function. If this counter have labels,
it will delete all the metrics with different label values.
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.
syntax: gauge:inc(value, label_values)
Increments or decrements a previously registered gauge. This is usually called when you want to observe the real-time value of a metric that can both be increased and decreased.
value
is a value that should be added to the gauge. It could be a negative value when you need to decrease the value of the gauge. 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 gauge was registered using prometheus:gauge()
. No label values should
be provided for gauges with no labels. Non-printable characters will be
stripped from label values.
syntax: gauge:del(label_values)
Delete a previously registered gauge. This is usually called when you don't
need to observe such gauge (or a metric with specific label values in this
gauge) any more. If this gauge has labels, you have to pass label_values
to delete the specific metric of this gauge. If you want to delete all the
metrics of a gauge with labels, you should call Gauge:reset()
.
label_values
is an array of label values.
The number of label values should match the number of label names defined when
the gauge was registered using prometheus:gauge()
. No label values should
be provided for gauges with no labels. Non-printable characters will be
stripped from label values.
syntax: gauge:reset()
Delete all metrics for a previously registered gauge. If this gauge have no
labels, it is just the same as Gauge:del()
function. If this gauge have labels,
it will delete all the metrics with different label values.
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))
';
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.
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.
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
';
}
luarocks install luacheck
luarocks install luaunit
luacheck --globals ngx -- prometheus.lua
lua prometheus_test.lua
- update version in the
dist.ini
- rename
.rockspec
file and update version inside it - commit changes
- push to luarocks:
luarocks upload nginx-lua-prometheus-0.20181120-1.rockspec
- upload to OPM:
opm build && opm upload
- create a new Git tag:
git tag 0.XXXXXXXX-X && git push origin 0.XXXXXXXX-X
- Created and maintained by Anton Tolchanov (@knyar)
- Metrix prefix support contributed by david birdsong (@davidbirdsong)
- Gauge support contributed by Cosmo Petrich (@cosmopetrich)
Licensed under MIT license.