Filter noisy data, transform formats, enrich with metadata, redact PII, and route to multiple destinations—all before a single byte hits storage. Reduce costs by 50% or more.
Drop debug logs, health checks, and noisy metrics before they cost you money.
Parse, normalize, and reshape data into consistent formats.
Add context from Kubernetes, cloud providers, and external sources.
Automatically detect and mask sensitive data for compliance.
Send data to multiple destinations based on content or tags.
Keep what matters, sample the rest for massive cost savings.
Native support for all major telemetry protocols and sources.
Teams using Telemetry Pipeline see significant cost reductions.
"Drop filters removed 60% of DEBUG logs. We're saving $15K/month without losing any production visibility."
"The redaction rules automatically mask PHI before storage. Compliance team loves it."
"Trace sampling keeps 100% of errors while sampling normal traffic at 10%. Huge storage savings."
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