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There is no reliable universal monthly price for a small SaaS’s Node.js error tracking: vendors meter exceptions, traces, logs, and other telemetry differently. To estimate your bill, count each enabled data type against the specific plan’s allowance, overage rules, retention, and billing limits.
What can generate an error-monitoring bill?
An exception is an error event, but it is not necessarily the only billable unit in an application-monitoring service. Traces, spans, logs, session replay, analytics, and other enabled products may have separate allowances or charges. A cost comparison that counts exceptions alone can miss much of the bill.
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- Exceptions: Captured errors such as uncaught exceptions or explicitly reported failures.
- Transactions and spans: Performance data that records operations and their timing. Sentry says transactions and spans are its billing unit for tracing and performance monitoring; tracing insights such as N+1 detection are performance issues generated from accepted transaction or span events, not error issues. Sentry’s quota explanation describes this distinction.
- Logs: Log ingestion may be charged separately from error events and traces. Sentry’s February 10, 2026 help article describes plan-specific log-volume allowances and pay-as-you-go terms. Check the current Sentry Logs rules for the account and plan in question.
- Other products: Replay, analytics, or additional observability products can add their own metering. Check each enabled product rather than treating the platform as one undifferentiated monitoring quota.
How do Sentry and PostHog approach Node.js exceptions?
Both vendors document Node.js error-capture options, but their product scopes and billing categories differ. Sentry presents application monitoring and error tracking, with tracing and OpenTelemetry paths. PostHog combines error tracking with analytics and other products. These examples are useful for understanding how to compare plans, not a like-for-like verdict on which service costs less.
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Sentry’s official Node.js instructions use npm install @sentry/node, followed by initialization with a DSN. The vendor recommends initializing early in the application lifecycle so errors can be captured. See the Sentry Node.js guide for the current setup.
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For cost attribution, separate exception events from tracing transactions and spans, and account for logs under their own rules. Sentry’s February 10, 2026 Logs article states that plans include 5 GB of Logs volume and that additional usage costs $0.50/GB when pay-as-you-go is configured. These are vendor-published, plan-specific figures, not a complete estimate for an account; the article notes that some plans and partner or marketplace arrangements may not allow that configuration. Confirm the applicable terms in the Sentry Logs article.
PostHog: exception allowance and overage terms
PostHog’s error-tracking documentation lists Node.js as a supported platform. It describes automatic exception autocapture for supported platforms and manual captureException() calls, with captured events grouped into issues. Its setup guide recommends uploading source maps when you need more readable stack traces. Consult the PostHog Error Tracking guide for setup details.
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PostHog’s pricing page lists 100,000 exceptions free per month. Its error-tracking guide gives a rate of $0.000370 per exception above that allowance, with discounts; the pricing page also says free-plan events beyond limits may be dropped, while pay-as-you-go usage is billed separately by product. These are vendor-published terms accessed October 7, 2026, not a guaranteed future rate or a complete bill estimate. Verify live rates, discounts, limits, and account terms on the PostHog pricing page and in its error-tracking documentation.
What changes the debugging value of the data?
The lowest event count is not automatically the best setup. The useful question is whether an alert contains enough context to locate and fix a production problem without collecting more data than the team needs.
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- Readable stack traces: Source maps can map compiled JavaScript locations back to source code. PostHog recommends uploading them for clearer stack traces; include this step in deployment configuration if the application relies on built or bundled files.
- Grouping: Grouping similar exception events into issues can make recurring failures easier to triage than a raw stream of events. PostHog documents issue grouping in its error-tracking guide.
- Trace and log context: Traces can show how a failure relates to operations, while logs can add event detail. They are separate telemetry categories with their own volume and potential cost implications, so capture only the context that helps your team investigate.
- Release and user/session context: Check whether the integration can associate errors with the deployed release and relevant request or session context. Confirm what the selected SDK and plan support, and review privacy and data-retention requirements for your application.
- Retention: The cited figures do not establish a comprehensive retention comparison. Check the current plan terms for how long each data type remains available and whether retention differs by product or plan.
Can OpenTelemetry make instrumentation more portable?
OpenTelemetry can provide a more portable instrumentation path, but portability depends on compatible SDK versions, exporters, and configuration; it does not make every backend’s billing or features interchangeable. Sentry documents both direct OTLP export and forwarding through an OpenTelemetry Collector, including paths for supported Sentry SDK data alongside errors and traces. See Sentry’s OTLP documentation for supported options.
Version changes can affect an existing setup. On September 23, 2026, Sentry announced JavaScript SDK v11 as a breaking release that improves OpenTelemetry compatibility and no longer takes over the user’s OpenTelemetry setup. Teams upgrading should review the vendor’s v11 release announcement and linked migration guidance rather than assuming an older configuration will behave the same way.
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How to estimate your own monthly cost
Build the estimate from observed usage and current plan terms. Keep the assumptions visible; without a workload, selected plan, and volume for each telemetry type, a single monthly figure would be guesswork.
Quick Recap
- Inventory enabled products. List exceptions, traces and spans, logs, replay, analytics, and any other metered products. Identify whether each is actually enabled in production.
- Record the rules for each data type. For the chosen plan, note the billable unit, included volume, overage rate, retention, and what happens at a billing limit: data may be dropped, usage may become billable, or the account may have another plan-specific behavior.
- Measure a representative period. Use actual production volume, separating test and development traffic. Decide whether sampling or filtering is appropriate for traces and logs, without assuming a particular rate before observing the workload.
- Calculate by category. Apply the plan’s allowance and rate to each category separately. Keep any discounts, billing limits, and exclusions explicit; do not treat a free exception allowance as covering traces or logs unless the plan says it does.
- Recheck before committing. Pricing, allowances, and plan rules can change. Verify the live pricing page and account terms when making the decision and whenever usage or plan configuration changes.
What to check before choosing a setup
- Which data types your Node.js service needs to capture to diagnose production failures.
- Whether the event allowance, trace volume, and log allowance each match your measured usage.
- Whether hitting a limit drops data or creates charges, and whether billing limits can cap exposure.
- Whether stack traces are readable with your build pipeline and source-map workflow.
- Whether tracing and OpenTelemetry configuration fit your existing instrumentation and SDK versions.
- Whether retention, access, and privacy terms suit the data your service sends.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
