LaunchDarkly + New Relic: Accelerating safe releases with Intelligent Observability
Blog post from New Relic
AI-assisted development is increasing code volume and placing greater pressure on code review, deployment, and production verification processes, prompting engineering teams to seek runtime safeguards alongside traditional static checks. A New Relic and LaunchDarkly discussion describes combining LaunchDarkly’s feature flags and rollout controls with New Relic’s real-time telemetry to create a closed operational loop in which teams release changes gradually, observe telemetry, evaluate performance against predefined guardrails, and automatically disable problematic features when thresholds are exceeded. OpenTelemetry can attach feature-flag context to distributed traces, helping teams identify whether specific flag states are associated with errors or latency during complex rollouts. The approach aims to reduce manual incident triage, shorten customer impact, and allow continuous deployment while limiting exposure, with recommended early adoption focused on critical services, trace enrichment, and clearly defined rollback criteria.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| OpenTelemetry | 6 | 846 | 169 | 64 | +19% |
| Real-time | 3 | 4,153 | 1,091 | 236 | -14% |
| Observability | 2 | 3,060 | 732 | 183 | +11% |
| AI Agents | 1 | 6,921 | 1,636 | 267 | +23% |
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