Use Cases
High-impact ways to cut Datadog log cost
Start from the use case closest to your current pain: filter, archive, sample, deduplicate, trim, and convert logs into metrics before Datadog ingest billing.
Drop low-value events upstream so they never become billable Datadog ingestion volume.
Send raw logs to cheaper long-term storage while forwarding only high-signal data to Datadog.
Turn high-volume success patterns into request counts, rates, and latency metrics instead of raw indexed logs.
Keep representative logs for noisy success traffic while preserving complete errors, warnings, and anomalies.
Collapse repeated events into one representative log with a count, first-seen time, and last-seen time.
Redact emails, IP addresses, phone numbers, and sensitive tokens before logs reach indexed storage.