Who is this workflow for? This workflow automates the process of sending error notifications by simultaneously alerting a designated Mattermost channel and dispatching an SMS to a specified mobile number whenever an error is detected..

What does this workflow do?

  • Trigger: The workflow initiates when an error event is detected, such as a specific log entry or a failed operation.
  • MQTT Integration: Receives error data through the MQTT protocol, enabling real-time message transmission.
  • HTTP Request: Fetches additional error details from a specified API endpoint to provide context.
  • Merge Node: Combines data from multiple sources to create a comprehensive error report.
  • Conditional Logic (Code): Evaluates the error severity to determine the appropriate notification channels.
  • MySQL Database Interaction: Logs the error details into a MySQL database for record-keeping and analysis.
  • AI Model Analysis: Utilizes AI models (e.g., OpenAI) to categorize and prioritize the error based on historical data.
  • Google Sheets Integration: Updates a Google Sheet with the error information for transparent tracking.
  • Mattermost Notification: Sends a formatted message to the specified Mattermost channel to alert the team.
  • SMS Dispatch: Sends an SMS alert to the designated mobile number for immediate attention.
  • Webhook Trigger: Notifies other integrated systems or services that an error has occurred, enabling further automated actions if necessary.

🤖 Why Use This Automation Workflow?

  • Immediate Awareness: Ensures that relevant teams are instantly informed about errors, reducing response time.
  • Multi-Channel Alerts: Combines both Mattermost and SMS notifications for comprehensive coverage.
  • Automated Monitoring: Eliminates the need for manual error tracking, enhancing efficiency and reliability.

👨‍💻 Who is This Workflow For?

This workflow is ideal for developers, IT operations teams, and system administrators who require real-time error notifications to maintain system integrity and promptly address issues.

🎯 Use Cases

  1. Web Application Monitoring: Automatically notify the development team of any critical errors occurring on the live website.
  2. System Health Checks: Alert IT staff immediately when servers experience downtime or performance issues.
  3. API Error Tracking: Inform relevant stakeholders when specific API endpoints fail, facilitating quick troubleshooting.

TL;DR

This automated error notification workflow efficiently alerts your team through Mattermost and SMS, ensuring rapid response to system issues. By integrating multiple tools and leveraging AI for error analysis, it provides a robust solution for maintaining system reliability and minimizing downtime.

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