airflow-priority 0.1.0

Priority Tags for Airflow Dags

airflow-priority

Priority Tags for Airflow Dags

Overview

This repo provides Airflow Plugins for priority-driven DAG failure alerting. In layman's terms, one need only add a tag to their DAG in P1, P2, P3, P4, P5, and that dag will send a notification to:

• New Relic
• Datadog
• Slack

Where P1 corresponds to highest priority, and P5 corresponds to lowest.

Installation

You can install from pip:

pip install airflow-priority

Or via conda:

conda install airflow-priority -c conda-forge

Integrations

Integration	Metric / Tag
New Relic	airflow.custom.priority.p{1,2,3,4,5}.{failed,succeeded,running}
Datadog	airflow.custom.priority.p{1,2,3,4,5}.{failed,succeeded,running}
Slack	N/A

New Relic

Create a new New Relic API Key following their guide. Note that the type should have INGEST - LICENSE.

Copy this api key into your airflow.cfg like so:

[priority.newrelic]
api_key = the api key

Under Query Your Data in the New Relic UI, you can create a query for the new custom metric:

SELECT sum(`airflow.custom.priority.p1.failed`) FROM Metric FACET dag

With this, you can now create a custom alert. For fast alerting, we recommend the following parameters:

Window duration - 30 seconds
Sliding window aggregation - Disabled
Slide by interval - Not set
Streaming method - Event timer
Timer - 5 seconds

Fill data gaps with - None
Evaluation delay - Not set

Thresholds: Critical: Query result is above or equals 1 at least once in 1 minute

Slack

Configure a new slack application following the Slack Quickstart.

Ensure your application has the following scopes for public and private channel access:

• channels:read
• groups:read
• chat:write

Enable and install your Slack application into your workspace, and add it as an integration in whatever channel you want it to post.

Copy your Slack application's Oauth Token (starting with xoxb-) and your desired channel into your airflow.cfg like so:

[priority.slack]
token = xoxb-...
channel = channel-name

Datadog

Create a new Datadog api key following their guide.

Copy this api key into your airflow.cfg like so:

[priority.datadog]
api_key = the api key

Ensure your dags are configured with tags and run some, it can often be convenient to have an intentionally failing P1 dag to test the integration. With this, you can now create custom monitors for the tags.

License