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Christine Yen

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Keynote: Into the Black Box: Observability in the Age of LLMsKubeCon + CloudNativeCon Europe 20252025-04-01
LLM-backed features are inherently nondeterministic so production success depends on capturing inputs, context and outputs end-to-end: capture prompt and token…
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Leveraging SRE and Observability Techniques for the Wild World of Building on LLMsAI.dev: Open Source GenAI & ML Summit North America 20232023-12-12
Honeycomb builds a query assistant on top of OpenAI APIs with about six weeks development and eight weeks iteration, instruments every prompt and response, and…
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The Future of Developer Careers: When Dev and Ops MeetCraft Conference 20212021-06-02
Argues that developers must own production by using observability not bureaucracy, showing how distributed tracing and high-cardinality data let teams map a…
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Observability for Developers: How to Get From Here to ThereDevOpsDays NYC 20202020-03-03
Argues that observability benefits developers more than operators and shows how teams move from grepping logs to structured traces with concrete wins: a…
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Observability: Superpowers for DevelopersStrange Loop 20192019-09-12
Argues that folding observability into development makes production part of the feedback loop, using Honeycomb-style high-cardinality traces and logs so…
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Observability for Developers: How to Get ThereDevOpsDays Seattle 20192019-04-23
Argues that developers gain more from observability than ops by shipping structured traces and metadata instead of just grepping logs. Shows Honeycomb…
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.NET Rocks Live on Software Feature SelectionNDC London 20192019-01-30
Honeycomb is positioned as an operational telemetry tool that lets teams capture rich event data to debug production and also to evaluate new features, for…
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Observability and the Development ProcessNDC London 20192019-01-30
Shows how Honeycomb uses observability from day one to choose, build, verify and roll out changes: adds a synthetic field event_time_delta_sec to find…
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