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Datadog

A monitoring and observability platform that brings metrics, logs, traces, dashboards, and alerts into one operational workspace.

Why it exists.

It reduces the gaps between telemetry sources so teams can investigate service behavior and incidents from a shared view.

Where it shines.

Cloud environments that need managed observability, cross-service correlation, alerting, and fast operational dashboards.

Where not to use it.

Do not send every signal without retention, cardinality, access, and cost controls.

What it is made of.

  • Agent
  • Metrics
  • Logs
  • Traces
  • Dashboards and monitors

How it works.

  1. Agents and integrations collect telemetry
  2. Signals are tagged and correlated
  3. Queries and dashboards expose service behavior
  4. Monitors alert teams when thresholds or conditions change
Questions and answers.Open the interview practice set for Datadog.
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