Qdrant Monitoring
Monitor your Qdrant 24/7 from 12+ global locations.
Why AI and ML Infrastructure Needs Monitoring
AI services are increasingly critical to modern applications. When LLM APIs slow down or vector databases fail, AI-powered features degrade or stop working entirely.
- Track LLM and embedding API response times for user experience
- Monitor vector database availability for semantic search features
- Detect model inference latency spikes before they affect production
- Get alerted to ML pipeline failures that could degrade model quality
AI infrastructure is complex and expensive. Monitoring helps you optimize costs while ensuring reliable service delivery.
How It Works
Enter Your Endpoint
Enter your Qdrant endpoint URL or hostname (default port: 6333).
Choose Monitoring Locations
Select from 12+ global regions to monitor from multiple locations simultaneously.
Configure Alerts
Set up notifications via email, Telegram, Slack, or webhooks when issues are detected.
What We Monitor
Uptime
Connection availability checked every minute from multiple locations.
Response Time
Track performance and latency across all monitoring regions.
SSL Certificate
Certificate validity, expiration alerts, and chain verification.
IP Information
Geolocation, ASN, and IP reputation monitoring.
Monitoring Features
- 24/7 monitoring from 12+ global locations
- Instant alerts via email, Telegram, Slack, webhooks
- Beautiful public status pages
- Response time tracking and history
- Custom check intervals (1-60 minutes)
- Uptime reports and SLA tracking