"Many feature flagging tools still operate in isolation from observability tooling, Datadog notes. This forces engineers to monitor changes across multiple disconnected systems to understand the full impact of issues. This slows down the development cycle and increases the likelihood of missed issues. Datadog wants to address this problem. Developers can now add feature flags to the observability platform used by IT teams. This allows health metrics to be correlated and the gradual rollout of new releases to be automated."
"Datadog Feature Flags connects each flag directly to existing telemetry data. All metrics, logs, traces, and business KPIs are therefore provided with the flag. Engineers no longer need to set up integrations or write custom scripts for this functionality, because each rollout is automatically tracked against the health indicators that are already being monitored. When rolling out a new checkout experience, IT professionals can see in real time how this affects response times, error messages, and conversion metrics."
Datadog introduces Feature Flags integrated with its observability platform to correlate rollouts with telemetry and automate gradual releases. Each flag connects directly to metrics, logs, traces, and business KPIs so rollouts are tracked against existing health indicators without extra integrations or custom scripts. Engineers can monitor real-time effects on response times, error messages, and conversion metrics during controlled rollouts. The system builds on the OpenFeature SDK and supports Boolean, string, number, and JSON flag variants. Teams can create flags, add them to specific codebases, define targeting rules, add variants, and view real-time metrics to speed triage and reduce missed issues.
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