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Cloud & Delivery

Sentry Observability Platform

Term 49 of 68 in the ERPStack technical glossary

What is Sentry Observability Platform?

Sentry is an open-source application monitoring and error tracking platform that helps developers identify, diagnose, and resolve application bugs and database performance bottlenecks in real time.

Sentry Observability Platform at a glance

Primary job
Group thousands of raw exceptions into a handful of distinct issues with stack traces
Release context
Errors tied to a release and commit, so 1 deploy can be identified as the cause
Source maps
Uploaded at build time, so a minified browser stack trace maps back to real source lines
Privacy duty
Scrub personal data before sending — an error payload can otherwise carry 2 kinds of regulated data
Built with
Sentry wired into Next.js 16, React 19 and Node.js services, source maps uploaded by GitHub Actions at build time, releases tagged per Vercel or AWS deploy, traces joined to OpenTelemetry, TypeScript 5.9 throughout
Numbers that matter
Thousands of events grouped into a handful of issues; 1 release identifier per deploy; 0 personal data sent; 6 months of unscrubbed payloads is the classic incident; 2 signals to join, exceptions and traces
Compare with
Raw Node.js logs, or OpenTelemetry Observability traces without exception grouping
Commonly paired with
Next.js 16, React 19, Node.js services, GitHub Actions releases, Playwright 1.59 runs, OpenTelemetry Observability traces and GDPR scrubbing rules
Sampling arithmetic
Errors captured at 100%, traces sampled: a 10% trace rate on a service taking 1,000,000 requests a day still leaves 100,000 traces to search.
Why scrubbing is urgent
GDPR Article 33 allows 72 hours to notify a supervisory authority. An error payload that carried personal data for 6 months is a breach report, not a debugging convenience.
Where it runs
1 SDK across Next.js 16, React 19 and Node.js services on Docker, Kubernetes, AWS or Vercel, with 1 GitHub Actions step uploading source maps and 3 signals to join — exception, trace, release.

How Sentry Observability Platform works in production

For B2B software, wait-and-see error tracking is insufficient. Sentry captures uncaught exceptions, records stack traces, and measures database query latencies. By alert routing directly to developers, Sentry ensures issues are identified before affecting customers.

The ERPStack approach to Sentry Observability Platform

We integrate Sentry tracing inside Next.js pages and edge routers, providing real-time error alerts and performance reports for your production applications.

Frequently asked questions about Sentry Observability Platform

What does an Observability Platform for errors give you?

Grouping and context. Raw exception logs produce thousands of lines nobody reads; an Observability Platform of this kind fingerprints them into distinct issues, counts occurrences, records which users and releases are affected, and attaches the stack trace and request context. That converts noise into a small ranked list, which is the difference between knowing errors exist and being able to act on them.

Why does release tracking matter so much?

Because it answers the first question during an incident: what changed. An Observability Platform that associates each error with a release and commit lets a spike be traced to the deploy that introduced it in seconds. Without that association, the same investigation means correlating a graph against a deployment log by eye, which is slower and considerably less certain.

What must never be sent to an error tracker?

Personal or regulated data. An Observability Platform receives request bodies, headers and local variables by default, which can capture protected health information, cardholder data or credentials without anyone intending it. Scrubbing rules must be configured before the first production event, not after a review discovers that 6 months of exception payloads contain data governed by a regulation.

How does error tracking relate to distributed tracing?

They are complementary halves. An Observability Platform for errors tells you what broke and in which release; OpenTelemetry tracing tells you where time was spent across services for a given request. Linking them by trace identifier means an exception can be opened from the trace that produced it, which shortens the path from symptom to cause considerably.

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