Skip to content
#

operational-monitoring

Here are 9 public repositories matching this topic...

AI-powered workflow monitoring and incident alerting system built with n8n, OpenAI, Slack, Gmail, and Telegram. Detects workflow failures, classifies severity levels, generates AI-driven operational analysis, and delivers multi-channel incident alerts in real time.

  • Updated May 16, 2026

A real-time NLP Inference Service and monitoring dashboard built with a decoupled architecture. Features live session-based logging (Audit Trail) using Pandas, operational health metrics visualization with Plotly, and a modular Python backend.

  • Updated Apr 14, 2026
  • Python

Centralized Mirth Connect monitoring platform with live API integration, operational dashboarding, runtime channel visibility, and HL7 interface monitoring.

  • Updated May 13, 2026
  • TypeScript

A distributed asynchronous job processing system designed to handle concurrent workloads reliably using Redis queues, worker orchestration, retry mechanisms, dead-letter queues, and failure recovery workflows.

  • Updated Aug 7, 2026
  • JavaScript

Improve this page

Add a description, image, and links to the operational-monitoring topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the operational-monitoring topic, visit your repo's landing page and select "manage topics."

Learn more