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Datadog

Leading observability platform ($45B market cap) that expanded into LLM Observability for monitoring AI application performance, cost, and quality. Bits AI copilot provides natural language querying across all observability data.

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📋About Datadog

Updated September 16, 2026

Datadog is a cloud monitoring and observability platform founded in 2010, serving over 28,000 customers globally. The publicly traded company provides infrastructure monitoring, application performance management (APM), log management, and security monitoring for cloud-scale applications.

Datadog has integrated AI across its platform through LLM Observability (monitoring AI model performance, costs, and hallucinations), Bits AI (an AI assistant for investigating incidents using natural language), and AI-powered anomaly detection that automatically identifies unusual patterns across billions of data points. The platform is also critical infrastructure for monitoring AI applications themselves — tracking GPU utilization, model latency, token usage, and inference costs.

As AI applications become more complex (multi-model pipelines, agent systems, RAG architectures), Datadog is positioning itself as the essential observability layer for the AI stack — helping engineering teams understand, debug, and optimize their AI systems in production.

🛠️Products & Tools (2)

Datadog LLM ObservabilityAI Infrastructure

Monitor AI application performance, cost, and quality. Tracks LLM calls, token usage, latency, and error rates. Bits AI copilot provides natural language querying across all observability data.

Datadog WatchdogIT Operations AI

Core AIOps engine — auto anomaly detection and root-cause on a timeseries foundation model.

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