Little bit of magic to send your DataDog dogstatsd metrics to CloudWatch

README.md

DataDog + CloudWatch Custom Metrics

A little bit of python to take your custom dogstatsd metrics and ship them to CloudWatch :)

Just add the plugin code, configure it as a custom_emitter in DataDog's config then tag your metrics with cloudwatch:emit.

Edit: Also realized you need to add boto3 to dd-agent's venv:

• sudo /opt/datadog-agent/embedded/bin/pip install boto3

Now your application-level metric can be used to trigger things like AutoScalingRules!

cloudwatch_emitter.py

import datetime
import os

import boto3

REGION = os.environ.get('REGION', 'us-east-1')
cloudwatch = boto3.client('cloudwatch', region_name=REGION)


def parse_tags(tag_string):
    tags = {}
    for tag in filter(None, tag_string.split(', ')):
        k, v = tag.replace('"', '').strip().partition(":")[::2]
        if v == '':
            tags['data_dog_tags'] = tags.get('data_dog_tags', []) + [k]
        else:
            tags[k] = v
    return tags


def send_series_to_cloudwatch(namespace, series, tags):
    metric_data = []
    for point in series['points']:
        data = {
            'MetricName': series['metric'],
            'Dimensions': [
                {
                    'Name': 'AutoScalingGroupName',
                    'Value': tags['autoscaling_group']
                },
            ],
            'Timestamp': datetime.datetime.utcfromtimestamp(int(point[0])),
            'Value': float(point[1])
        }
        metric_data.append(data)
        data = {
            'MetricName': series['metric'],
            'Dimensions': [
                {
                    'Name': 'InstanceId',
                    'Value': tags['instance_id']
                },
                {
                    'Name': 'AutoScalingGroupName',
                    'Value': tags['autoscaling_group']
                },
            ],
            'Timestamp': datetime.datetime.utcfromtimestamp(int(point[0])),
            'Value': float(point[1])
        }
        metric_data.append(data)
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=metric_data
    )


class CloudWatchEmitter(object):

    def __call__(self, payload, logger, config):
        agent_tags = parse_tags(config.get('tags', ''))
        for series in payload.get('series', []):
            series_tags = series.get('tags')
            if series_tags is None:
                series_tags = []
            if 'cloudwatch:emit' in series_tags:
                send_series_to_cloudwatch(agent_tags.get('app_name',
                                                         'datadog'),
                                          series, agent_tags)

datadog.conf

# Write this to /usr/share/datadog/cloudwatch_emitter.py Add a line like:

custom_emitters: /usr/share/datadog/cloudwatch_emitter.py:CloudWatchEmitter'

LICENSE

Simplified BSD License

Copyright (c) 2016-2017, Ernest W. Durbin III
Copyright (c) 2016-2017, The Groundwork LLC.
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