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ML Operations

Datadog

Cloud observability platform with LLM and ML monitoring capabilities

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About Datadog

Datadog sells a SaaS observability and security platform covering infrastructure, application performance, logs and user experience. Its LLM Observability product extends that telemetry to AI applications, tracing prompts, responses, cost and quality alongside the rest of the stack.

Common use cases

  • Monitoring production AI applications
  • Cloud infrastructure observability
  • Incident response
  • Cost and latency tracking for LLMs

Social listening

What people are saying about Datadog

Reviewers value Datadog's unified view of logs, metrics and traces and fast troubleshooting, and buyers typically plan for cost governance and alert tuning.

What stands out

  • Users value logs, metrics, traces and alerts in a single platform.
  • Dashboards and templates are frequently cited as strengths.
  • Broad cloud and tool integrations make setup straightforward.
  • Correlated data is credited with faster root-cause analysis and incident resolution.

Things to consider

  • Worth setting up usage monitoring and budget controls early, as cost rises with hosts, log volume and add-ons.
  • Teams typically plan for onboarding time with the interface and feature set.
  • Plan for ongoing alert tuning.
  • Worth confirming support tiers and response times for complex tickets.

Often compared with: Dynatrace, New Relic, Splunk, Grafana, Prometheus

Sources (2)

Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.

Products and services

Infrastructure Monitoring

Metrics and health monitoring for hosts, containers and cloud services.

APM and Distributed Tracing

Application performance monitoring and request tracing.

LLM Observability

Tracing, evaluation and monitoring for LLM-based applications.

Log Management

Centralized log collection, search and analysis.

Pricing and editions. Reviewers describe per-host plans plus usage-based charges for logs and add-on features that drive total cost.

Key features

  • Unified telemetry
  • LLM tracing
  • Anomaly detection
  • Dashboards and alerts
  • Log analytics
  • Hundreds of integrations

Integrations

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Kubernetes
  • OpenAI
  • Anthropic
  • Slack
  • PagerDuty

Datadog alternatives

FAQs

Does Datadog monitor LLM applications?

Yes, through its LLM Observability product, alongside its general infrastructure and application monitoring.

How is it priced?

Pricing is usage-based and varies by product.

How does it differ from ML-specific monitors?

It is a general observability platform that adds AI monitoring, rather than a tool built only for model drift and ML evaluation.

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