From Data Overload to Optimized Insights - Implementing OTel Sampling for Smarter Observability
CNCF [Cloud Native Computing Foundation] via YouTube
Overview
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Learn how to implement OpenTelemetry sampling strategies to manage distributed tracing costs and optimize observability in enterprise environments through this conference talk from KubeCon + CloudNativeCon. Discover the technical and cultural challenges of deploying sampling components at scale, as Capital One engineers Joseph Knight and Sateesh Mamidala share their real-world experience transforming data overload into actionable insights. Explore why one-size-fits-all sampling approaches fail in complex distributed systems and understand how to develop flexible sampling solutions tailored to your application deployment patterns and observability architecture. Examine the practical aspects of migrating end-users to sampling methodologies, deploying open-source sampling components in large enterprise settings, and measuring the resulting impact on data ingestion costs. Gain insights into creating sampling strategies that balance comprehensive observability with cost management, applicable to organizations seeking to optimize their OpenTelemetry implementations while maintaining effective monitoring of interdependent services.
Syllabus
From Data Overload To Optimized Insights: Implementing OTel Samp... Joseph Knight & Sateesh Mamidala
Taught by
CNCF [Cloud Native Computing Foundation]