Bring together performance metrics and error tracking so your team can detect, diagnose, and resolve issues faster.
Automatically correlate New Relic performance alerts with Sentry error spikes during incidents
Enrich Sentry issues with New Relic distributed trace links for faster debugging
Generate unified post-deployment health reports combining Apdex scores and error counts
New Relic and Sentry each address a critical slice of application health. New Relic gives you deep visibility into system performance, infrastructure metrics, distributed traces, and service-level indicators. Sentry captures unhandled exceptions, stack traces, and release-specific error trends directly from your application code. Together they cover the full spectrum from infrastructure to code, but switching between two dashboards slows incident response and creates blind spots.
Neotask bridges this gap by letting you build automated workflows that pull signals from both platforms and act on them in a coordinated way.
With Neotask connecting New Relic and Sentry, your team can automate the repetitive, time-sensitive tasks that occur during incidents and routine operations:
One of the biggest time sinks in incident response is manually correlating data from multiple tools. An engineer sees a New Relic alert, opens Sentry in another tab, searches for errors in the same time window, then tries to match them to a specific commit or release. Neotask automates that correlation loop.
When a New Relic threshold is breached, a Neotask workflow can:
This turns a 15-minute investigation into a 30-second automated summary.
Beyond incident response, pairing New Relic and Sentry through Neotask supports a continuous improvement cycle. Teams can track how error rates trend across releases, correlate performance regressions with specific code changes, and automatically open follow-up tasks when recurring errors exceed a threshold. The result is a tighter feedback loop between shipping code and understanding its real-world impact.
Reduce mean time to resolution by eliminating manual cross-tool correlation during incidents
Give on-call engineers full context in one place instead of juggling multiple dashboards
Catch release regressions earlier by monitoring performance and error signals together
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