# How SRE Teams Use Observability Pipelines to Reduce Data Costs Page: https://stenobird.com/podcast/the-site-reliability-podcast-with-fexingo-sre-uptime-and-production-engineering-7871923/how-sre-teams-use-observability-pipelines-to-reduce-data-costs Text version: https://stenobird.com/podcast/the-site-reliability-podcast-with-fexingo-sre-uptime-and-production-engineering-7871923/how-sre-teams-use-observability-pipelines-to-reduce-data-costs.md Podcast: [The Site Reliability Podcast with Fexingo: SRE, Uptime, and Production Engineering](https://stenobird.com/podcast/the-site-reliability-podcast-with-fexingo-sre-uptime-and-production-engineering-7871923) Published: 2026-07-08T12:09:31+00:00 Episode link: https://audio.fexingo.com/business/the-site-reliability-podcast/episode-0098.mp3 Audio file: https://audio.fexingo.com/business/the-site-reliability-podcast/episode-0098.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/the-site-reliability-podcast-with-fexingo-sre-uptime-and-production-engineering-7871923/episodes/how-sre-teams-use-observability-pipelines-to-reduce-data-costs Duration seconds: 668 ## Resource Episode 98 of The Site Reliability Podcast with Fexingo dives into observability pipelines — the middleware that sits between your systems and your monitoring tools. Lucas and Luna explore how teams at companies like DoorDash and Slack have used pipelines to filter, sample, and shape telemetry data before it reaches their observability backends, slashing costs by up to 70 percent without losing signal. They break down the concept of 'intelligent sampling' versus naive tail-based sampling, discuss the trade-offs of using open-source tools like OpenTelemetry Collector versus managed services like Cribl or Vector, and walk through a concrete example: how a mid-stage SaaS company reduced its Datadog bill from $240,000 to $72,000 per year. The episode also covers the pitfalls — like accidentally dropping critical traces during partial outages — and how to design pipeline rules that preserve high-cardinality dimensions for debugging. If you're an SRE or platform engineer feeling the sting of observability vendor pricing, this one's for you. #ObservabilityPipelines #SRE #SiteReliabilityEngineering #DataCostOptimization #OpenTelemetry #Cribl #Vector #Datadog #DoorDash #Slack #TelemetrySampling #IntelligentSampling #ObservabilityCosts #Monitoring #Technology #FexingoBusiness #BusinessPodcast #ProdEng Keep every episode free: buymeacoffee.com/fexingo ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/the-site-reliability-podcast-with-fexingo-sre-uptime-and-production-engineering-7871923/episodes/how-sre-teams-use-observability-pipelines-to-reduce-data-costs/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/the-site-reliability-podcast-with-fexingo-sre-uptime-and-production-engineering-7871923/how-sre-teams-use-observability-pipelines-to-reduce-data-costs.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.