Datadog, Inc., the AI-powered observability and security platform for cloud applications, is introducing Feature Flags—unifying feature management with observability to help engineering teams release new functionalities fast without compromising reliability. The product is now generally available and integrates natively across Datadog APM and RUM.
Datadog Feature Flags natively connects every feature flag to real-time observability data. With this integration, teams can immediately trace reliability issues to the exact feature or configuration responsible, automate rollouts and rollbacks, enforce experimentation guardrails, and clean up stale flags before they accumulate into technical debt, according to the company.
Feature Flags complements Datadog’s CI/CD visibility and test optimization products by extending observability left into release management itself.
“Releasing new features is one of the riskiest parts of modern software delivery, and releasing frequently is even more important in today’s AI-driven development age,” said Yanbing Li, chief product officer at Datadog. “Datadog Feature Flags, created with a head start after our acquisition of Eppo, allows development teams to automatically detect regressions, enforce reliability guardrails, and ship updates faster and more safely by tying every flag to real-time telemetry.”
Datadog Feature Flags helps organizations deliver new functionality safely and reliably by providing:
- Unified observability plus feature management: Correlate every feature flag with Datadog telemetry (APM and RUM) to see exactly how a feature affects performance and reliability in one view.
- Automated, data-driven rollouts and rollbacks: Mitigate risk with canary releases, circuit breakers, and instant rollbacks triggered by real-time service health signals, without manual intervention or custom scripts.
- Dynamic configuration and safe experimentation at scale: Adjust system behavior instantly without redeploying code. Enforce guardrails across environments and prevent reliability regressions during experiments.
- Automated stale-flag cleanup: Reduce technical debt with Bits AI and MCP integrations that identify unused flags and generate pull requests to safely remove dead paths from codebases.
Feature Flags is now generally available.
For more information about this news, visit www.datadoghq.com.