Datadog

Datadog collects infrastructure metrics, logs, traces, and other signals so teams can investigate services and configure alerts.

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Published Updated

CategoryMonitoring & Observability
AccessWeb platform
PricingPaid
APIAvailable
Overview

What is Datadog?

Datadog brings together several observability products. The infrastructure view shows hosts and containers, Log Management processes application and system logs, and APM traces requests through services. Dashboards and monitors turn selected signals into views and alerts. Instrumentation, tagging, and retention choices determine how useful that shared view becomes.

Read the full overview

Sources checked 27 September 2026: Datadog product overview and monitor setup.

Why teams use it

Key capabilities

  • Infrastructure views: host and container metrics with tags.
  • Logs: ingestion, search, and retention controls.
  • APM: distributed traces and service dependencies.
  • Monitors: alert rules for metrics and other supported signals.
Core areas

Start with a few critical services, define service and environment tags, and verify that alerts correspond to actionable failures. Model ingestion, indexed-log volume, and retention before expanding coverage; costs follow the data and products used.

Positioning

Datadog suits teams that need to correlate infrastructure and application behavior across services. It is a collection and analysis platform, not automatic incident diagnosis: agents and integrations must send the right data, and monitors need thresholds and ownership.

Why it matters

A shared view of metrics, logs, and traces can shorten the search for an issue's location when instrumentation is sound. The product functions are documented in Datadog's getting-started guide, checked 27 September 2026. This is not a claim of measured incident-time reduction.

Deployment & technical details

Technical details

Access
Web platform
Source model
Other license
Founded
2010
Headquarters
New York, USA
Pricing model
Paid
API
Available
Check with the publisher

Official resources

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What to verify for your environment

Start from the users, systems and operating responsibilities the tool needs to support.

  • Confirm current features, licensing and support terms with the publisher.
  • Validate deployment, data location, access control, backup and recovery requirements.
  • Test integrations, export paths and a representative operational workflow before committing.
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