Sentry + OpenTelemetry

Sentry + OpenTelemetry

Sentry is a developer-focused application monitoring platform best known for error and crash tracking, with performance monitoring, release health, and session replay. OpenTelemetry (OTel) is the vendor-neutral standard for generating traces, metrics, and logs. Pairing them lets teams capture rich errors in Sentry while emitting standardized telemetry that Sentry and other backends can consume.

The stack targets engineering teams that want fast, actionable error and performance insight tied to releases and code, without committing all telemetry to a single proprietary collection layer.

Components

• Sentry SDKs capture exceptions, stack traces, breadcrumbs, and performance transactions, increasingly built on OpenTelemetry under the hood.
• OpenTelemetry provides language SDKs and the Collector to instrument applications once and export traces and metrics to multiple destinations.
• Application languages such as TypeScript and Python carry the instrumentation.
• Sentry correlates errors with releases, commits, and users; performance data links slow transactions to code.
• Prometheus or other backends can also receive OTel metrics alongside Sentry.

Strengths

Sentry excels at turning errors into fixes: grouped issues, full stack traces, release and commit attribution, and alerting that points developers to the line of code. Performance monitoring and session replay add context. Building on OpenTelemetry means instrumentation is standardized and portable, so you can export the same traces to other tools and avoid agent lock-in. The developer experience and SDK coverage are strong across languages and frameworks.

Trade-offs

Sentry is primarily error- and transaction-focused rather than a full infrastructure observability suite, so it is usually combined with metrics tooling. Self-hosting Sentry is possible but operationally heavy; most teams use the SaaS, which adds cost at high event volume. OpenTelemetry's many components and evolving specs have a learning curve. Sampling must be tuned to control cost and noise.

When to Use It

Use Sentry + OpenTelemetry when developer-centric error tracking and performance monitoring are top priorities and you want portable, standards-based instrumentation. It pairs well with a separate metrics stack like Prometheus for infrastructure. If you need a single end-to-end infrastructure-plus-APM suite, a broader platform such as Datadog or New Relic may cover more in one place.