A backend plugin for Statsd to perform some basic alerting on events.
Suppose you wanted to use StatsD as your main event stream aggregator due to its simple interface and its ease of integration with existing services. Perfect! Now, what if you want to send out some alerts based on certain events? Let's do it!
There are two different types of alerts that are supported. Those are "event" alerts and "metric" alerts (see example configuration file for both). "Event" alerts are things that you want to be alerted on immediately. An example of an event you would likely want to be alerted on immediately is an uncaught exception.
"Metrics" alerts are a bit more complicated. StatsD publishes aggregate metrics at a configurable rate (default is every ten seconds). Perhaps you wanted to be alerted when the 90th percentile average time for an event exceeds a certain value. You can do that (check out the example configuration for how to set that up).
This plugin is very young and I plan to include more sophisticated alerting features as well as more alert types. Feel free to leave feedback via the issues for things you would like to see added.
In your StatsD installation folder, run:
$ npm install statsd-alerting-backend
Include the backend in your config.js
file (see example configuration file
below for complete configuration example).
{
"backends": ["statsd-alerting-backend"]
}
This plugin is written in CoffeeScript that is compiled to Javascript
automatically when publishing to NPM (see gulpfile.js
and package.json
for
more details). To work on this plugin, simply clone the repository and run
npm install
. I would suggest running gulp watch
in a separate shell to
watch the source Coffeescript files for changes and automatically compile them
to Javascript files.
Here you can define a set of dispatchers to use when sending alerts. They can be named anything (names must be unique as it is a Javascript object). See the example config file for formatting. Each dispatcher must have a type that is one of the valid alert dispatchers (currently "slack", "pagerduty", "hipchat", and "log"). Each dispatcher must also include the necessary configuration for the alert dispatcher.
You can specify a template to use for your alert messages if you'd like. If you don't specify a template, a sane default will be used for all alerts. Templates must be written using Handlebars.js (really only the basic templating features are useful here). An example template might look like:
{
"template": "Event alert for {{name}} ({{metric}} {{type}})"
}
Templates are defined in each dispatcher's configuration block. You can specify
a template for event alerts (using the template
property) and for metric
alerts (using the metricTemplate
property). The context used when rendering
templates is the event object itself. Each even contains a name
, metric
,
type
, and some other metadata.
List your Slack incoming webhook configuration information. Required keys are
host
and token
. The username will default to "statsd-alerts" and the channel
will default to #alerts.
Simply list your Pagerduty service key.
Simply list your Sentry DSN.
List your Hipchat API key
and the room
name to which you want to send the
alerts. Optionally include a from
description and a notify
boolean.
Make sure that the key provided has enabled the scope send_notification
.
Target, one of stdout
or stderr
. Defaults to stdout
.
You must provide a transport
key and a mailOptions
key. See the
nodemailer docs
for specifics.
transport
can be a connection string or an object, see examples
here.
eventAlertSubject
is the email subject for an event-based alert.
metricsEventAlertSubject
is the email subject for a metric event-based alert.
mailOptions
controls how emails are delivered. Valid keys include from
and
to
. The subject
is filled in using either eventAlertSubject
or
metricsEventAlertSubject
. The text
will be the formatted event or metrics
event alert.
Think of this as a list of events (StatsD counters
or gauges
) that you want
to send alerts immediately as they are sent. A good example of this would be an
exception happening or a user signing up for something. You can use wildcards
in the event name (see wildcard for
formatting and matching information).
Think of this as a list of aggregate metrics you want to alert on. Typical uses
for this would be alerting when an average time is greater than a set value or
when the rate of counter exceeds some value. You could also alert when the
difference (or delta
) of a current metric and its previous value exceeds a
certain value. See the integration test
for more information on how to use these alerts. You can also use wildcards
in the metrics name for matching. A wildcard will match any events of a specific
type (i.e. timer_data
or counter_rates
).
Currently you can alert using Slack, HipChat, Pagerduty, Sentry or logging to stdout. Please ensure that you have the proper configuration values for whichever alerting sources you specify in your configuration file.
{
backends: ["statsd-alerting-backend"],
alerts: {
dispatchers: {
slackDispatcher: {
type: "slack",
config: {
webhook: "<INCOMING_WEBHOOK>",
username: "statsd-alerts",
channel: "#alerts",
template: "Saw a {{name}} event!"
}
},
pagerdutyDispatcher: {
type: "pagerduty",
config: {
key: "<PAGERDUTY_SERVICE_KEY>"
}
},
sentryDispatcher: {
type: "sentry",
config: {
dsn: "<SENTRY_DSN>"
}
},
hipchatDispatcher: {
type: "hipchat",
config: {
key: "<HIPCHAT_API_KEY>",
from: "statsd-hipchat-alerts".
room: "<HIPCHAT_ROOM_NAME>",
color: "red",
notify: true,
template: "Saw a {{name}} event!"
}
},
logDispatcher: {
type: "log",
config: {
target: "stdout"
}
},
emailDispatcher: {
type: "email",
config: {
transport: "smtps://user%40gmail.com:[email protected]",
eventAlertSubject: "Oops! Event Alert",
metricsEventAlertSubject: "Oops! Metrics Event Alert",
mailOptions: {
from: "[email protected]",
to: "[email protected]"
}
}
}
},
events: [{
name: "some.event.*",
dispatcher: "logDispatcher"
}],
metrics: [{
name: "some.*.timer",
type: "timer_data",
key: "mean_90",
delta: 10,
dispatcher: "slackDispatcher"
}, {
name: "some.event.counter",
type: "counter_rates",
gte: 0.2,
dispatcher: "pagerdutyDispatcher"
}]
}
}
Feel free to leave issues here or fork the project and submit pull requests. If there is a feature you would like added just submit an issue describing the feature and I will do my best.