How do I trigger these notifications?

Notifications are triggered by Databricks job lifecycle events, including job start, success, failure, or when a duration threshold is exceeded.

Can I use this to monitor job performance trends?

Yes, it includes specialized SQL templates for querying Databricks system tables to track failure rates, job durations, and historical performance.

Which notification platforms are supported by this skill?

This skill provides configuration patterns for Slack, Microsoft Teams, PagerDuty, standard email, and generic webhooks for custom integrations.

Does this support custom logic for webhook handling?

Absolutely. It provides a Python/Flask template for building a custom backend handler to process incoming Databricks events with your own business logic.

Databricks Webhooks & Event Notifications

Name: Databricks Webhooks & Event Notifications
Author: jeremylongshore

byjeremylongshore

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1,449

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Analytics & Monitoring

Configures and manages automated notifications, webhooks, and alert systems for Databricks jobs and pipelines.

This skill enables developers to architect robust monitoring and alerting systems within Databricks environments by providing standardized patterns for event handling. It facilitates the setup of notification destinations like Slack, Microsoft Teams, and PagerDuty, and automates the configuration of email alerts for job starts, successes, and failures. Beyond basic configuration, the skill includes templates for building custom Python-based webhook handlers to process complex Databricks events and utilizes SQL-based monitoring via system tables to track long-term job performance and reliability metrics.

Key Features

01Automated job alert configuration via Databricks SDK and YAML resources

02Custom Flask-based webhook handler for sophisticated event processing logic

03Proactive SQL alerts for real-time job failure detection and reporting

04Multi-channel notification setup for Slack, Teams, PagerDuty, and Email

05SQL monitoring queries for Databricks system tables to track pipeline health

061,449 GitHub stars

Use Cases

01Building custom monitoring dashboards to track pipeline success rates and durations

02Sending rich, formatted job progress updates and logs to team Slack channels

03Integrating Databricks job failures with on-call PagerDuty rotations for rapid response

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills databricks-webhooks-events

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Automated job alert configuration via Databricks SDK and YAML resources

02Custom Flask-based webhook handler for sophisticated event processing logic

03Proactive SQL alerts for real-time job failure detection and reporting

04Multi-channel notification setup for Slack, Teams, PagerDuty, and Email

05SQL monitoring queries for Databricks system tables to track pipeline health

061,449 GitHub stars

Use Cases

01Building custom monitoring dashboards to track pipeline success rates and durations

02Sending rich, formatted job progress updates and logs to team Slack channels

03Integrating Databricks job failures with on-call PagerDuty rotations for rapid response

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills databricks-webhooks-events

For use in Claude.ai and ChatGPT

Download Skill