Your dashboard is glowing red again. One rogue workflow crashed production, telemetry flooded your monitoring tools, and now half the team is stuck untangling traces while the other half guesses where the failure began. This is where New Relic and Temporal quietly change the story from firefighting to real engineering.
New Relic gives you deep observability: metrics, logs, and distributed traces that make failure visible. Temporal gives you durable execution guarantees for asynchronous tasks, retry logic, and precise workflow state. Together, they make operations predictable. You can see what happened, why it happened, and ensure the workflow that caused it doesn’t vanish into the void.
Connecting Temporal with New Relic works through instrumentation. Temporal’s SDKs emit spans as workflows start, progress, and complete. Those spans—containing run IDs, task queues, and error events—flow into New Relic via OpenTelemetry or direct APIs. The result is unified context: one timeline that links a workflow execution with its resource usage and business outcome. Engineers stop guessing which retry loop caused the bottleneck because every loop already leaves its fingerprints in the trace.
A common integration pattern is to inject a New Relic agent during worker startup. The worker wraps each Temporal task with automatic transaction tracking. Errors turn into events, long-running executions turn into durable traces, and distributed retries show up neatly mapped to parent workflows. The monitoring view becomes more than uptime—it’s audit-level visibility.
Before connecting, map identities correctly. Temporal’s namespaces often represent teams or applications. Align those namespaces with New Relic accounts or tags. If your organization uses IAM or Okta SSO, route credentials through a secure layer that can rotate automatically. Avoid static API keys; prefer token-based access linked to your OIDC provider. This protects your observability data under SOC 2–friendly controls.