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CFOs want AI that pays: real metrics, not marketing demos

venturebeat.com James Thomason 2025-08-23 22:00:00

This article is part of VentureBeat’s special issue, “The Real Cost of AI: Performance, Efficiency and ROI at Scale.” Read more from this special issue. Recent surveys and VentureBeat’s conversations with CFOs suggest the honeymoon phase of AI is rapidly drawing to a close. While 2024 was dominated by pilot programs and proof-of-concept demonstrations, in mid-2025, the pressure for measurable results is intensifying, even as CFO interest in AI remains high. According to a KPMG survey of 300 U.

Topics: ai cfos financial metrics value
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OpenTelemetry for Go: Measuring overhead costs

news.ycombinator.com Nikolay Sivko 2025-09-14 05:09:17

Everything comes at a cost — and observability is no exception. When we add metrics, logging, or distributed tracing to our applications, it helps us understand what’s going on with performance and key UX metrics like success rate and latency. But what’s the cost? I’m not talking about the price of observability tools here, I mean the instrumentation overhead. If an application logs or traces everything it does, that’s bound to slow it down or at least increase resource consumption. Of course,

Topics: app http metrics opentelemetry redis
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CI/CD Observability with OpenTelemetry Step by Step Guide

news.ycombinator.com Unknown 2025-09-11 04:42:50

In the fast-paced world of CI/CD, understanding the performance and behaviour of your pipelines is crucial. GitHub Actions has become a popular choice for automating builds and deployments, but anyone who's debugged a flaky workflow or long-running job knows how challenging it can be to get visibility into what's happening under the hood. We usually rely on build logs, timing data, or guesswork when something goes wrong. Wouldn't it be nice to trace a pipeline run step-by-step, or have metrics o

Topics: collector github metrics receiver traces
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