Website & API health monitoring system with HTTP status validation

Website & API Health Monitoring System with HTTP Status Validation How it works - Performs HTTP health checks on websites and APIs with automatic health status validation - Checks HTTP status codes and analyzes JSON responses for common health indicators - Returns detailed status information including response times and health status - Implements conditional logic to handle different response scenarios - Perfect for monitoring dashboards, alerts, and automated health checks Set up steps - Deploy the workflow and activate it - Get the webhook URL from the trigger node - Configure your monitoring system to call the webhook endpoint - Send POST requests with target URLs for health monitoring - Receive JSON responses with health status, HTTP codes, and timestamps Usage - Send POST requests to the webhook URL with target URL parameter - Optionally configure timeout and status expectations in request body - Receive JSON responses with health status, HTTP codes, and timestamps - Perfect for monitoring dashboards, alerts, and automated health checks - Use with external monitoring tools like Nagios, Zabbix, or custom dashboards - Set up scheduled monitoring calls for continuous health validation - Example request: Send POST with {"url": "https://your-site.com", "timeoutMs": 5000} - Success response returns: {"ok": true, "statusCode": 200, "healthStatus": "ok"} - Failure response returns: {"ok": false, "error": "Health check failed", "statusCode": 503} Benefits - Proactive monitoring to identify issues before they impact users - Detailed diagnostics with comprehensive health data for troubleshooting - Integration ready - works with existing monitoring and alerting systems - Customizable timeout settings, expected status codes, and health indicators - Scalable solution to monitor multiple services with single workflow endpoint Use Cases - E-commerce platforms: Monitor payment APIs, inventory systems, user authentication - Microservices: Health validation for distributed service architectures - API gateways: Endpoint monitoring with response time validation - Database connections: Track connectivity and performance metrics - Third-party integrations: Monitor external API dependencies and SLA compliance Target Audience - DevOps Engineers implementing production monitoring - System Administrators managing server uptime - Site Reliability Engineers building monitoring systems - Development Teams tracking API health in staging/production - IT Support Teams for proactive issue detection