Use Cases
High-impact ways to cut Datadog log cost
Start from the use case closest to your current pain: drop repetitive 200 logs, mask PII, reduce noise, and route high-signal logs to Datadog with full retention in S3.
Drop repetitive 200 logs
Suppress high-volume success noise before Datadog ingestion.
Mask PII before logs are routed
Protect sensitive fields before indexing or archival.
Reduce observability cost quickly
Cut spend by removing low-value logs before they become billable.
Route logs by value
Send hot logs to Datadog and full history to S3.
Reduce noisy logs without breaking alerts
Eliminate low-value events while preserving incident-critical visibility.