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Is your observability bill growing faster than your user base? 📉 In this webinar, Jesse Raleigh (Head of Engineering at Integration Plumbers) walks through a practical "Cost Savings Checklist" for enterprise OpenTelemetry deployments. Using a realistic case study of "SparkPlug Motors"—an automotive retailer with a mix of modern cloud stacks and legacy on-prem systems—we explore how to trim the fat from your telemetry data without losing critical insights. We cover the "boring but necessary" engineering decisions that lead to massive ROI, including how to handle high cardinality data, how to structure your collectors, and the math behind safe sampling strategies. In this video, you will learn: ✅ How to Reduce Complexity: Why you should centralize logic in Collectors and use OTLP everywhere. ✅ Sampling Strategies: Deep dives into Head, Tail, and Rate-Limited sampling to turn a firehose into a drinking fountain. ✅ Signal vs. Noise: How to use "Inversion Thinking" and RED/USE metrics to stop collecting useless data. ✅ Avoiding Bias: How to use Stratified Sampling to ensure low-traffic but high-value customers (like B2B buyers) aren't ignored. ⏱️ Timestamps: 0:00 - Introduction & Integration Plumbers Overview 1:05 - Case Study: SparkPlug Motors Architecture 2:49 - Reducing Implementation Complexity (Auto-Instrumentation & OTLP) 7:52 - Controlling High Cardinality Data 9:20 - Cutting Data Overload & Backpressure 12:35 - Choosing the Right Sampling Strategy (Head vs. Tail) 17:25 - Stratified Sampling for Critical User Flows 21:09 - Improving Signal-to-Noise Ratio (RED & USE Metrics) 24:44 - The "Inversion" Technique for Observability 27:30 - Avoiding Sampling Bias & Calibration 32:20 - Conclusion & How to Get Help 🔗 Resources & Links: Visit Integration Plumbers: https://integrationplumbers.io/ #OpenTelemetry #Observability #DevOps #SRE #CostOptimization #OTEL #TechWebinar