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Bolt Pipelines

Datadog

Set up Datadog integration with Paradime to receive automated alerts for Bolt Pipeline Errors

Connect Datadog to Paradime to receive real-time alerts for your Bolt Pipelines.

Prerequisites

Before connecting Datadog to Paradime, make sure you have:

  • An existing Bolt schedule

  • Datadog account

  • Datadog API Key

  • Datadog Application Key

Setup Guide

Set up Datadog incident creation for failed runs by following the steps below.

Step 1: Gather Your Datadog Credentials

  1. Generate API Key:

  2. Generate Application Key:

  3. Ensure Application Key has the below permissions

    1. incident_notification_settings_read

    2. incident_read

    3. incident_write

    4. teams_read

    5. user_access_read

Step 2: Connect Datadog to Paradime

  1. In Paradime, navigate to Settings → Integrations → Datadog.

  2. Select your Datadog API region

  3. Enter your Datadog API Key into the field provided.

  4. Enter your Datadog Application Key into the field provided.

  5. Click Create to establish the connection.

Once connected, Paradime will automatically create incidents in Datadog whenever Bolt runs fail.

Enable Datadog for Your Bolt Schedules

After enabling the integration, you can configure which Bolt Schedules should create incidents in Datadog when they fail.

To configure incident creation:

  1. Navigate to Bolt > Schedules in the Paradime interface.

  2. Select the schedule you want to monitor.

  3. Open the Integration Settings for that schedule.

  4. Enable Datadog Incident Creation to automatically create incidents in Datadog when the schedule fails.

Once enabled, any failures in the configured Bolt Schedules will automatically trigger incident creation in Datadog, allowing your team to respond quickly to data pipeline issues.

Datadog Integration Capabilities

Paradime uses the Datadog API to automatically create incidents for Bolt Schedules.

This integration enables you to:

  • Automatically track dbt™ run failures in Datadog

  • Leverage Datadog's incident management workflows

  • Monitor pipeline health alongside your application monitoring

  • Reduce time to resolution for data pipeline issues

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