Full-stack application monitoring platforms

Which brands AI mentions

Best when: You want frontend, backend, infrastructure, logs, and deployment monitoring in one platform.

Docs: Error Tracking ·Connect RUM and Traces

2. New Relic

(Best for a unified error inbox)

New Relic's Errors Inbox groups errors from browser monitoring, APM, mobile, and other sources. An error group can expose stack traces, related distributed traces, logs, and occurrences by application version. With change tracking configured, you can also correlate errors with deployments.docs.newrelic.com+2

Best when: You want one triage view for full-stack errors, including which versions and deployments are affected.

Docs: Errors Inbox ·Version tracking

3. Sentry

(Best for developer-focused debugging)

Sentry connects frontend errors to distributed traces, helps identify the failing backend request, and provides release context to determine when a regression started. Frontend monitoring captures the user interactions leading up to an error.sentry.io+1

Best when: You primarily want developers to diagnose exceptions, trace requests across services, and identify the release that introduced a bug.

Docs: Frontend Monitoring ·Sentry documentation

How they compare

These capabilities require appropriate instrumentation and configuration; a single issue may not automatically contain every signal in every setup.

My recommendation

• Choose Datadog if you need a single observability platform across application code and infrastructure.
• Choose New Relic if your priority is an error inbox that combines frontend and backend errors with version and deployment information.
• Choose Sentry if your priority is exception-first debugging and quickly tracing a frontend failure to its backend cause.

One important evaluation criterion: make sure the platform links signals to the same issue or error occurrence, rather than merely displaying separate dashboards that can be correlated manually.