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For a Node.js SaaS, exception capture is only one part of an error-tracking bill. Sentry and PostHog both document ways to capture backend exceptions, but they meter different products and usage units: exceptions, tracing transactions or spans, and log volume may be counted separately. Estimate costs from your own volumes and plan terms rather than relying on a universal “small SaaS” price.
What you are paying to capture—and what you are paying to observe
“API monitoring” can mean several different things. A backend exception is an error event; a trace records a request’s path through services or operations; a log is an individual or aggregated record. A platform may also meter replay, analytics, or other products. Enabling more than exception capture can therefore change the bill even when the number of errors stays the same.
- Exceptions: Captured errors, often grouped into issues for investigation.
- Traces and spans: Performance data about requests and operations. Sentry says transactions/spans are the billing unit for tracing and performance monitoring; tracing insights such as N+1 findings are performance issues derived from accepted transaction or span events, not error issues. Sentry explains the distinction.
- Logs: A separate volume-based category in Sentry’s published billing guidance. See its Logs plan and usage details.
- Other products: Check whether replay, analytics, or other enabled features have their own usage meters or plan allowances.
Do not compare an exception allowance from one service with a trace or log allowance from another as if they were the same unit.
How the documented Node.js options differ
Sentry presents application monitoring and error tracking, with both SDK and OpenTelemetry routes. PostHog combines error tracking with analytics and other products. Their published figures below describe different meters, not a like-for-like monthly bill.
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| Area | Sentry | PostHog |
|---|---|---|
| Node.js setup | Install @sentry/node with npm install @sentry/node, then initialize it early in the application lifecycle using your DSN. Sentry Node.js documentation |
Node.js is listed among supported error-tracking platforms. Supported platforms can autocapture exceptions; the guide also documents manual captureException() calls. PostHog setup guide |
| Exception billing figure | The cited Sentry quota guidance identifies transactions/spans—not exceptions—as the tracing and performance billing unit. It does not establish an exception price in the cited details. | Pricing lists 100,000 exceptions free per month. The error-tracking guide states $0.000370 per exception above that allowance; discounts may apply and rates can change. Verify the live pricing page and account terms. PostHog pricing · PostHog error-tracking guide |
| Other documented meter | The Logs help article dated February 10, 2026 says plans include 5 GB of Logs volume and additional usage costs $0.50/GB when pay-as-you-go is configured. Some plans and account arrangements may not allow that configuration. Sentry Logs guidance | Pay-as-you-go usage is billed by product, and free-plan over-limit events may be dropped, according to the pricing page. Confirm the current terms for the specific product and account. |
| Debugging context | SDK and OpenTelemetry pathways connect supported error and trace data; inspect the selected setup and plan for the context and retention you need. | Events are grouped into issues. The setup guide recommends uploading source maps to make stack traces more readable. |
The Sentry Logs allowance and rate are vendor-published, plan-dependent details, not a complete account-cost estimate. PostHog’s exception allowance and overage rate also do not account for any separately metered products. Neither set of figures establishes which option costs less for your workload.
Choose an instrumentation path that fits your stack
Use a vendor SDK for a direct setup
Sentry documents a Node SDK installed with npm install @sentry/node; initialize it early so it can capture errors during application startup as well as during request handling. PostHog documents Node.js error tracking, including automatic capture on supported platforms and explicit captureException() calls. If you need readable source locations in PostHog, follow its source-map upload guidance.
Use OpenTelemetry when a pipeline is part of the plan
Sentry documents direct OTLP export and forwarding through an OpenTelemetry Collector, including supported SDK data connected with errors and traces. OpenTelemetry can make instrumentation more portable, but it does not guarantee that every backend will interpret every signal identically: compatibility depends on SDK versions and configuration.
Version changes matter. Sentry announced JavaScript SDK v11 on September 23, 2026 as a breaking release. It says the SDK is more compatible with OpenTelemetry and no longer takes over the user’s OpenTelemetry setup. Review the v11 release announcement and its migration guidance before upgrading an existing integration.
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Build a cost estimate from your actual telemetry
- Inventory enabled products. List exceptions, traces or spans, logs, replay, analytics, and any other metered features. Include development and test environments if they send data.
- Write down each meter and its plan rules. For every product, record the billing unit, included volume, overage rate, retention, and what happens at a billing limit—such as continued billable ingestion or dropped events. Use current vendor documentation and the terms on your account.
- Measure a representative period. Track actual production and non-production volumes separately. Decide whether trace sampling or filtering is appropriate for your diagnostic needs; do not assume a specific sample rate without workload data.
- Calculate each product separately. Apply your observed units to the selected plan’s allowances and rates. State the measurement period, plan, assumptions, and exclusions beside any total. Do not add unlike units together as if they shared one quota.
- Check usage and limits as traffic changes. PostHog recommends billing limits; review actual and projected usage where available and make sure the limit behavior matches your tolerance for dropped data or extra charges.
- Recheck terms before deciding. Allowances, rates, discounts, and plan rules can change. The published figures above are vendor statements, not a neutral benchmark or a quote for a particular small SaaS.
Questions to answer before switching or expanding capture
- Will the team investigate errors using issue grouping alone, or does it need traces, logs, release context, or user/session context too?
- Which data is necessary to diagnose production incidents, and which traffic can be filtered or sampled without undermining that goal?
- How long must each telemetry type be retained, and what does the selected plan include?
- What happens when an allowance or billing limit is reached: is ingestion billed, limited, or dropped?
- Will a migration change SDK initialization, OpenTelemetry ownership, source-map handling, or the data available to existing dashboards?
The cited plan pages do not provide a comprehensive privacy, security, or retention comparison, so check deployment and plan-specific documentation for those requirements before sending production data.
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