Datadog LLM Observability
Monitor, troubleshoot, and evaluate your LLM-powered applications.
Overview
Datadog LLM Observability is a solution within the broader Datadog platform that provides deep visibility into LLM-powered applications. It allows teams to trace the entire lifecycle of an LLM request, monitor performance metrics like latency and token usage, evaluate the quality and safety of LLM responses, and correlate this data with infrastructure and application metrics.
✨ Key Features
- End-to-end tracing of LLM chains and agents
- Performance monitoring (latency, token usage, cost)
- LLM response quality and security evaluations
- Prompt and response clustering for drift detection
- Correlation with APM, infrastructure, and log data
- PII and sensitive data scanning
- Prompt injection detection
🎯 Key Differentiators
- Unified platform for full-stack observability (infra, APM, logs, LLM)
- Deep integration with the extensive Datadog ecosystem
- Enterprise-grade security and compliance
Unique Value: Provides a single pane of glass for monitoring the entire application stack, including the LLM, allowing for unparalleled correlation and root cause analysis.
🎯 Use Cases (5)
✅ Best For
- Enterprise-scale monitoring of LLM applications
- Correlating LLM performance with backend service and infrastructure health
- Identifying and resolving LLM-related production issues
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Small teams or individuals not already invested in the Datadog ecosystem
- Users looking for a standalone, free, or open-source LLM observability tool
🏆 Alternatives
Unlike standalone LLM tools, it connects model performance to underlying infrastructure and application health. Compared to other APM tools, it has a more dedicated and feature-rich LLM observability solution.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Varies tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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