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README.md

Ruby client library for SignalFx

This is a programmatic interface in Ruby for SignalFx's metadata and ingest APIs. It is meant to provide a base for communicating with SignalFx APIs that can be easily leveraged by scripts and applications to interact with SignalFx or report metric and event data to SignalFx.

This library supports Ruby versions 2.2.x and above.

Installation

Add this line to your application's Gemfile:

gem 'signalfx'

And then execute:

$ bundle

Or install it yourself as:

$ gem install signalfx

Installing with Ruby 2.2.0 and 2.2.1

This library's protobuf dependency requires activesupport >=3.2. 5.x versions of activesupport require Ruby >=2.2.2, so users of older Ruby versions will need to install activesupport 4.2.10 before signalfx to avoid attempts of installing a more recent gem. Building and installing signalfx from source will fulfill this for you:

$ gem build signalfx.gemspec && gem install signalfx-<current_version>.gem

Usage

Configuring your endpoints

In order to send your data to the correct realm, you may need to configure your endpoints. If no endpoints are set manually, this library uses the us0 realm by default. If you are not in this realm, you will need to explicitly set the endpoint config options below. To determine if you are in a different realm and need to explicitly set the endpoints, check your profile page in the SignalFx web application.

require('signalfx')
# Create client with alternate ingest endpoint
client = SignalFx.new('ORG_TOKEN', ingest_endpoint: 'https://ingest.{REALM}.signalfx.com',
                      stream_endpoint: 'https:/stream.{REALM}.signalfx.com')

Access tokens

To use this library, you will also need to specify an access token when requesting one of those clients. For the ingest client, you need to specify your organization access token (which can be obtained from the SignalFx organization you want to report data into). For the SignalFlow client, either an organization access token or a user access token may be used. For more information on access tokens, see the API's authentication documentation.

Create client

The default constructor SignalFx uses Protobuf to send data to SignalFx. If it cannot send Protobuf, it falls back to sending JSON.

require('signalfx')

# Create client
client = SignalFx.new 'MY_SIGNALFX_TOKEN'

Optional constructor parameters:

  • api_token (string): your private SignalFx token.
  • enable_aws_unique_id (boolean): false by default. If true, the library will retrieve the Amazon instance unique identifier and set it as AWSUniqueId dimension for each datapoint and event. Use this option only if your application is deployed on Amazon AWS.
  • ingest_endpoint (string): to override the target ingest API endpoint.
  • stream_endpoint (string): to override the target stream endpoint for SignalFlow.
  • timeout (number): timeout, in seconds, for requests to SignalFx.
  • batch_size (number): size of datapoint batches to send to SignalFx.
  • user_agents (array of strings): an array of additional User-Agent strings to use when making requests to SignalFx.

Reporting data

This example shows how to report metrics to SignalFx, as gauges, counters, or cumulative counters.

require('signalfx')

client = SignalFx.new 'MY_SIGNALFX_TOKEN'

client.send(
           cumulative_counters:[
             {  :metric => 'myfunc.calls_cumulative',
                :value => 10,
                :timestamp => 1442960607000 },
             ...
           ],
           gauges:[
             {  :metric => 'myfunc.time',
                :value => 532,
                :timestamp => 1442960607000},
             ...
           ],
           counters:[
             {  :metric => 'myfunc.calls',
                :value => 42,
                :timestamp => 1442960607000},
             ...
           ])

The timestamp must be a millisecond precision timestamp; the number of milliseconds elapsed since Epoch. The timestamp field is optional, but strongly recommended. If not specified, it will be set by SignalFx's ingest servers automatically; in this situation, the timestamp of your datapoints will not accurately represent the time of their measurement (network latency, batching, etc. will all impact when those datapoints actually make it to SignalFx).

Reporting data through a HTTP proxy

To send data through a HTTP proxy, set the environment variable http_proxy with the proxy URL.

Sending multi-dimensional data

Reporting dimensions for the data is also optional, and can be accomplished by specifying a dimensions parameter on each datapoint containing a dictionary of string to string key/value pairs representing the dimensions:

require('signalfx')

client = SignalFx.new 'MY_SIGNALFX_TOKEN'

client.send(
          cumulative_counters:[
            {   :metric => 'myfunc.calls_cumulative',
                :value => 10,
                :dimensions => [{:key => 'host', :value => 'server1'}]},
            ...
          ],
          gauges:[
            {   :metric => 'myfunc.time',
                :value=> 532,
                :dimensions=> [{:key => 'host', :value => 'server1'}]},
            ...
          ],
          counters:[
            {   :metric=> 'myfunc.calls',
                :value=> 42,
                :dimensions=> [{:key => 'host', :value => 'server1'}]},
            ...
          ])

See examples/generic_usecase.rb for a complete code example for reporting data.

Sending events

Events can be sent to SignalFx via the send_event() function. The event type must be specified, and dimensions and extra event properties can be supplied as well. Also please specify event category: for that get option from dictionary EVENT_CATEGORIES. Different categories of events are supported. Available categories of events are USER_DEFINED, ALERT, AUDIT, JOB, COLLECTD, SERVICE_DISCOVERY, EXCEPTION.

require('signalfx')

timestamp = (Time.now.to_i * 1000).to_i

client = SignalFx.new 'MY_SIGNALFX_TOKEN'

client.send_event(
    '<event_type>',
    event_category: '<event_category>',
    dimensions: { host: 'myhost',
      service: 'myservice',
      instance: 'myinstance' },
    properties: { version: 'event_version' },
    timestamp: timestamp)

See examples/generic_usecase.rb for a complete code example for sending events.

SignalFlow

You can run SignalFlow computations as well. This library supports all of the functionality described in our API docs for SignalFlow. Right now, the only supported transport mechanism is WebSockets.

Configure the SignalFlow client endpoint

By default, this library connects to the us0 stream endpoint. If you are not in this realm, you will need to explicitly set the endpoint config options below when creating the client. To determine if you are in a different realm and need to explicitly set the endpoints, check your profile page in the SignalFx web application.

client = SignalFx.new('ORG_TOKEN', ingest_endpoint: 'https://ingest.{REALM}.signalfx.com',
                      stream_endpoint: 'https:/stream.{REALM}.signalfx.com')

To create a new SignalFlow client instance from an existing SignalFx client:

signalflow = client.signalflow()

For the full API see the RubyDocs for the SignalFlow client (the signalflow var above).

There is also a demo script that shows basic usage.

License

Apache Software License v2. Copyright © 2015-2016 SignalFx

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