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Datadog LLM Observability

Freemium
llm observabilityaiobsmonitoringdeveloper toolsmachine learningmlopsdistributed tracingdatadogapmcost management

An integrated observability solution for developers and MLOps teams to monitor, troubleshoot, and optimize large language model (LLM) applications by tracking performance, cost, and quality from end to end.

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Datadog LLM Observability is a specialized module within the broader Datadog ecosystem designed to provide deep insights into applications powered by large language models. It primarily serves software engineering, DevOps, and MLOps teams who need to understand the behavior of their AI-powered features in production. The platform allows users to trace LLM requests through their entire application stack, monitor key performance metrics like latency and token usage, and track associated costs. Its unique value proposition lies in its seamless integration with Datadog's existing APM, infrastructure, and log management tools, offering a single pane of glass to correlate LLM behavior with underlying system performance. This unified approach helps teams quickly diagnose issues, evaluate model quality, and manage the operational health of their LLM-driven services.

Pros

  • Deep integration with the comprehensive Datadog platform, linking LLM metrics to APM, logs, and infrastructure.
  • Provides end-to-end distributed tracing from user requests down to the specific LLM provider call.
  • Automated cost tracking by monitoring token usage per model, service, or user.
  • Support for a wide range of popular LLM providers and frameworks, including OpenAI, Anthropic, and LangChain.
  • Powerful tools for evaluating prompt and response data for quality, correctness, and safety.

Cons

  • Can become very expensive at high volumes due to its per-span, usage-based pricing model.
  • The vast feature set and deep integration can create a steep learning curve for users new to the Datadog ecosystem.
  • May be overly complex and costly for smaller teams or projects that don't require a full-stack observability platform.
  • Value is maximized for existing Datadog customers, potentially leading to vendor lock-in.

Key features

  • LLM request and response tracing
  • Automated cost and token usage monitoring
  • Performance analysis including latency and time-to-first-token
  • Prompt and response data logging and evaluation
  • Root cause analysis for errors and performance degradation
  • Pre-built dashboards for model comparison and health monitoring
  • Correlation of LLM traces with application logs and infrastructure metrics

Integrations

OpenAIAzure OpenAIAnthropicAmazon BedrockGoogle Vertex AILangChainLlamaIndexPythonNode.jsJava

Target audience

Software developers, DevOps engineers, SREs (Site Reliability Engineers), and MLOps professionals building, deploying, and maintaining applications that use large language models.

Ratings & Reviews

0.0

Based on 0 reviews

Key Metrics

Active Users

27,800+ customers

Founded

2010

Headquarters

New York, USA

Pricing Tiers

Free

Includes up to 1 million analyzed LLM spans per month, with 15-day retention. Ideal for getting started and low-volume applications.

$0/mo

Paid

Billed per 1 million analyzed LLM spans per month after the free tier is exhausted. Includes 15-day retention, with options for extended retention.

$2.50/million spans

Frequently Asked Questions

Top Alternatives to Datadog LLM Observability

Arize AI

Choose Arize for a more specialized ML observability platform focused on model performance, drift, and explainability, rather than general application monitoring.

Langfuse

This open-source alternative is a strong choice for developers who prioritize detailed tracing and debugging of LLM applications without the cost of a full observability suite.

New Relic AI Monitoring

A direct competitor for teams already invested in the New Relic ecosystem, offering tightly integrated AI monitoring capabilities similar to Datadog's.

Ready to get started?

Join thousands of users and see how Datadog LLM Observability can transform your workflow today.

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