Cost optimisation

Reduce telemetry spend while keeping full visibility

The reducing-data-volume reference explains how edge workers discard noise, compress payloads, and keep governed archives so teams trim costs without losing the records they need.

Challenges we hear

  • • Telemetry volumes keep growing while storage and egress spend outpace budgets.
  • • Teams often retain verbose payloads just in case, even when lower-signal events dominate licensing costs.
  • • Without guardrails, trimming data risks losing the fields analysts rely on for investigations.

How LyftData helps

  • • Edge workers can discard noise and compress payloads before data leaves a site, using the actions documented in the reducing-data-volume guide.
  • • Jobs apply filters, enrichment, and masking so only governed, analytics-ready events flow to premium tiers.
  • • Clone channels let you keep an archive in object storage while forwarding governed events to SIEMs and analytics tools without duplicating pipelines.

Docs to explore

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