DEPRECATED

Please note, this project is deprecated and no longer being maintained, please use metrics/prometheus.

Prometheus metric collector for Tarantool

This is a Lua library that makes it easy to collect metrics from your Tarantool apps and databases and expose them via the Prometheus protocol. You may use the library to instrument your code and get an insight into performance bottlenecks.

At the moment, 3 types of metrics are supported:

• Counter: a non-decreasing numeric value, used e.g. for counting the number of requests
• Gauge: an arbitrary numeric value, which can be used e.g. to report memory usage
• Histogram: for counting value distribution by user-specified buckets. Can be used for recording request/response times.

Table of contents

• Limitations
• Getting started
  • Basic examples
  • A more detailed example
• Usage
  • counter(name, help, labels)
  • gauge(name, help, labels)
  • histogram(name, help, labels, buckets)
  • Counter:inc(value, labels)
  • Gauge:set(value, labels)
  • Gauge:inc(value, labels)
  • Gauge:dec(value, labels)
  • Histogram:observe(value, labels)
  • collect()
  • collect_http()
• Development
• Credits
• License

Limitations

The Summary metric is not implemented yet. It may be implemented in future.

Getting started

The easiest way is, of course, to use one of the official Docker images, which already contain the Prometheus collector. But if you run on a regular Linux distro, first install the library from Tarantool Rocks server:

$ tarantoolctl rocks install prometheus

This will install the module to the .rocks under your current working directory.

Basic examples

To report the arena size, you can write the following code:

prometheus = require('prometheus')
http = require('http.server')
fiber = require('fiber')

box.cfg{}
httpd = http.new('0.0.0.0', 8080)

arena_used = prometheus.gauge("tarantool_arena_used",
                              "The amount of arena used by Tarantool")

function monitor_arena_size()
  while true do
    arena_used:set(box.slab.info().arena_used)
    fiber.sleep(5)
  end
end
fiber.create(monitor_arena_size)

httpd:route( { path = '/metrics' }, prometheus.collect_http)
httpd:start()

The code will periodically measure the arena size and update the arena_used metric. Later, when Prometheus polls the instance, it will get the values of all metrics the instance created.

There are 3 important bits in the code above:

arena_used = prometheus.gauge(...)

This creates a Gauge object that can be set to an arbitrary numeric value. After this, the metric from this object will be automatically collected by Prometheus every time metrics are polled.

arena_used:set(...)

This sets the current value of the metric.

httpd:route( { path = '/metrics' }, prometheus.collect_http)

This exposes metrics over the text/plain HTTP protocol on http://localhost:8080/metrics for Prometheus to collect. Prometheus periodically polls this endpoint and stores the results in its time series database.

A more detailed example

If you want a more detailed example, there is an example.lua file in the root of this repo. It demonstrates the usage of each of the 3 metric types.

To run it with Docker, you can do as follows:

$ docker build -t prometheus .
$ docker run --rm -t -i -p8080:8080 prometheus

Then visit http://localhost:8080/metrics and refresh the page a few times to see the metrics change.

Usage

This section documents the user-facing API of the module.

counter(name, help, labels)

Creates and registers a Counter.

• name is the name of the metric. Required.
• help is the metric docstring. You can use newlines and quotes here. Optional.
• labels is an array of label names for the metric. Optional.

Example:

num_of_logins = prometheus.counter(
    "tarantool_number_of_logins", "Total number of user logins")

http_requests = prometheus:counter(
    "tarantool_http_requests_total", "Number of HTTP requests", {"host", "status"})

gauge(name, help, labels)

Creates and registers a Gauge.

• name is the name of the metric. Required.
• help is the metric docstring. You can use newlines and quotes here. Optional.
• labels is an array of label names for the metric. Optional.

Example:

arena_used = prometheus.gauge(
    "tarantool_arena_used_size", "Total size of the arena used")

requests_inprogress = prometheus.gauge(
    "tarantool_requests_inprogress", "Number of requests in progress", {"request_type"})

histogram(name, help, labels, buckets)

Creates and registers a Histogram.

• name is the name of the metric. Required.
• help is the metric docstring. You can use newlines and quotes here. Optional.
• labels is an array of label names for the metric. Optional.
• buckets is an array of numbers defining histogram buckets. Optional. Defaults to {.005, .01, .025, .05, .075, .1, .25, .5, .75, 1.0, 2.5, 5.0, 7.5, 10.0, INF}.

Example:

request_latency = prometheus.histogram(
    "tarantool_request_latency_seconds", "Incoming request latency", {"client"})
response_size = prometheus.histogram(
    "tarantool_response_size", "Size of response, in bytes", nil, {100, 1000, 100000})

Counter:inc(value, labels)

Increments a counter created by prometheus.counter().

• value specifies by how much to increment. Optional. Defaults to 1.
• labels is an array of label values. Optional.

Gauge:set(value, labels)

Sets a value of a gauge created by prometheus.gauge().

• value is the value to set. Optional. Defaults to 0.
• labels is an array of label values. Optional.

Gauge:inc(value, labels)

Increments a gauge created by prometheus.gauge().

• value specifies by how much to increment. Optional. Defaults to 1.
• labels is an array of label values. Optional.

Gauge:dec(value, labels)

Decrements a gauge created by prometheus.gauge().

• value specifies by how much to decrement. Optional. Defaults to 1.
• labels is an array of label values. Optional.

Histogram:observe(value, labels)

Records a value to a histogram created by prometheus.histogram().

• value is the value to record. Optional. Defaults to 0.
• labels is an array of label values. Optional.

collect()

Presents all metrics in a text format compatible with Prometheus. This can be called either by http.server callback or by Tarantool nginx_upstream_module.

collect_http()

Convenience function, specially for one-line registration in the Tarantool http.server, as follows:

httpd:route( { path = '/metrics' }, prometheus.collect_http)

Development

Contributions are welcome. Report issues and feature requests at https://github.com/tarantool/prometheus/issues

To run tests, do:

$ tarantool test.lua

NB: Tests require luaunit library.

Credits

Loosely based on the implementation by @knyar: https://github.com/knyar/nginx-lua-prometheus

License

Licensed under the BSD license. See the LICENSE file.