Control Observability Cost with Sampling

An observability tool such as Laravel Nightwatch can consume its allowance quickly if it collects every request, query, and cache event from an active system. The answer is not to disable monitoring, but to decide which signals need full coverage and which can be represented by a sample.

Capture important exceptions at a high rate, sample a smaller portion of ordinary requests, and enable detailed query or cache tracing for bounded diagnostic periods. Exclude known noise only after confirming that it does not hide a failure, and throttle repetitive exceptions so one incident cannot consume the entire budget.

Review usage regularly by environment and path, tying collection rates to signal value rather than collection convenience. Keep enough coverage to reveal rare changes, and document why each exclusion exists. Configuration names and plan limits can change between releases, so consult current documentation before applying specific values.