The Invisible Tax: How Data Format Conversions Drive up Telemetry... Cijo Thomas & Joshua MacDonald

Jun 3, 2026Channel
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Video Details

Published1 week ago
Duration21:35
Video IDw9fGmBeTj5c
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video

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Views153
Likes9
Comments0
Engagement Rate5.88%
Likes per 100 views5.88
Comments per 1K views0.00

Description

Don't miss out! Join us at our next KubeCon + CloudNativeCon events in Mumbai, India (18-19 June, 2026), Yokohama, Japan (29-30 July, 2026), and Shanghai, China (8-9 September, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at https://kubecon.io The Invisible Tax: How Data Format Conversions Drive up Telemetry Pipeline Costs - Cijo Thomas & Joshua MacDonald, Microsoft Telemetry signals traverse long pipelines before reaching observability backends. While enrichment, filtering, and redaction provide clear value, significant compute cost often comes from repeated conversion through different data formats. Telemetry commonly flows through SDK formats, wire protocols, collector‑internal formats, and backend ingestion schemas. Each boundary introduces marshaling, unmarshalling and copying. These transformations add no new information, yet consume CPU and memory and scale linearly with volume—creating a hidden "transform tax" that compounds dramatically at terabyte scale. This talk will share results from measuring instrumented OpenTelemetry SDK and Collector pipelines. We quantify compute spent on pure format conversion versus value‑generating processing and show how these costs grow with scale. Attendees will learn about conversion costs and strategies to reduce waste: eliminating unnecessary translations, aligning pipeline representations, leveraging zero‑copy techniques, and minimizing transformation hops between pipeline stages. We also examine Apache Arrow‑based representations as one approach to reducing this overhead.

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