A system that spans continents produces telemetry that spans legal jurisdictions. Here's how to keep traces and logs where the law wants them, and still see your whole system.

Move from flat probabilistic sampling to tail-based sampling in the OTel Collector. Keep every error and slow trace, cut health-check noise to 1%, and check that the Collector is doing what you think.

Telemetry data is just as risky for PII as any database. Here's how to turn sensitive fields into safe, useful signals: hashing, tokenising, coarsening, and picking the right tool for the job.

When a request crosses ten services, you get ten log streams that share nothing but a timestamp you can't trust. How to collect them on every node, carry the trace ID through, ship them through the OpenTelemetry Collector, and notice when lines go missing.

At 1.5 million log events per second you cannot keep, batch, or ship everything the way you did at moderate scale. Content-aware sampling, OTel exporter tuning, Collector-side batching, and cheaper bytes on the wire.

Every OTel span that includes a customer email, shipping address, or payment token is a GDPR audit waiting to happen. The fix isn't application code; it's a Collector pipeline.