Automate Cron Success Alerts with Slack and AI
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This workflow automatically monitors cron job success and sends real-time alerts to Slack. It leverages AI to analyze job status and logs, enriching alerts with contextual information.
About This Workflow
The 'Cron Success Slack' workflow is designed to provide immediate and intelligent notifications for your cron job operations. Upon receiving a signal, it processes incoming data, chunks it for AI analysis, and then uses embeddings to query a Weaviate vector store for contextual insights. An Anthropic chat model, acting as a RAG agent, synthesizes this information to determine the status or potential issues of the cron job. The outcome is logged to a Google Sheet and critical errors are escalated via Slack alerts, ensuring you're always informed about your scheduled tasks.
Key Features
- Automated Cron Monitoring: Triggered by a webhook, this workflow continuously watches for cron job status.
- AI-Powered Analysis: Utilizes Langchain and OpenAI embeddings to understand job data and Weaviate for vector storage.
- Contextual Alerts: Enriches Slack notifications with AI-driven insights for better troubleshooting.
- Data Logging: Automatically appends success statuses and relevant information to a Google Sheet.
- Error Escalation: Configurable Slack alerts for immediate notification of any issues.
How To Use
- Configure Webhook Trigger: Set up your cron jobs to send a POST request to the
/cron-success-slackendpoint. - Set up AI Nodes: Ensure your OpenAI API credentials are set up for embeddings and your Anthropic API credentials for the chat model.
- Configure Vector Database: Authenticate with your Weaviate account and set the
indexNametocron_success_slackfor both insert and query operations. - Define Google Sheets Integration: Provide your Google Sheets API credentials and specify the
SHEET_IDandLogsheet name for appending status updates. - Customize Slack Alerts: Configure your Slack API credentials and set the target channel to
#alertsfor error notifications. - Parameter Adjustments: Fine-tune
chunkSizeandchunkOverlapin the Text Splitter node as needed for your data.
Apps Used
Workflow JSON
{
"id": "60fd47cc-c3ca-41fc-a2b8-0e900c56c444",
"name": "Automate Cron Success Alerts with Slack and AI",
"nodes": 6,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 60fd47cc-c3ca...
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