Cost Optimization Guide

Mask PII in logs before they leave your infrastructure

PII in logs creates legal and security risk. Masking after indexing is too late for strict data-handling policies.

Why this problem exists

Application teams often log request payloads during debugging and forget to remove sensitive fields.

Distributed services make consistent redaction hard when done in application code.

Real cost and impact

Sensitive data incidents trigger remediation work, legal review, and potential contractual risk.

Even one leaked payload can create disproportionate operational cost.

Solutions (including alternatives)

  • Define explicit masking rules for emails, tokens, IDs, and custom sensitive keys.
  • Apply masking pre-ingestion so external systems only receive sanitized events.
  • Retain original data only where required and in controlled storage workflows.

How LogTrim solves it

LogTrim applies masking before routing, reducing exposure in Datadog and S3 payloads.

Teams manage redaction policy centrally instead of patching each service.

Example scenario

A growth-stage SaaS enforced token and email masking across all request logs in one rollout.

Security review passed without changing every service logger.

Reduce your costs with LogTrim

Start with high-noise categories, keep high-signal logs in Datadog, and archive full retention in S3.