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Major observability platform providers are integrating artificial intelligence into their monitoring systems, as enterprises look to their suppliers to reduce the manual work involved in keeping an eye on digital infrastructure. Companies have implemented AI-driven features designed to automate routine operational tasks and accelerate incident resolution processes.
A new benchmark study from observability platform Coroot has shed light on the performance costs of implementing OpenTelemetry in high-throughput Go applications. The findings show that while OpenTelemetry delivers valuable trace-level insights, it introduces notable overhead, increasing CPU usage by approximately 35% and increasing network traffic and latency under load.
Anthropic has upgraded Claude with new app-building capabilities, allowing users to create, host, and share AI applications directly from text prompts. This functionality, known as Artifacts, enables users to build functional tools like data analyzers, flashcard generators, or study aids by simply describing their ideas.
Savannah Kunovsky and Jenna Fizel, co-managing directors of IDEO’s Emerging Technology division, talk about the future of technology in general and how we can work with our users to build the most impactful product. They explore prototyping and co-design techniques, as well as how generative AI can help with rapid prototyping.
AI images typically bloat from massive library installations and base OS components, with large Docker images slowing AI development and increasing costs. Chirag Agrawal demonstrates how to diagnose bloat using Docker's history and the interactive 'dive' tool to examine each layer in detail. The article shows how effective diagnosis leads to targeted optimizations.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Logz.io and Dynatrace Innovations Shift Observability Into the AI Age
Major observability platform providers are integrating artificial intelligence into their monitoring systems, as enterprises look to their suppliers to reduce the manual work involved in keeping an eye on digital infrastructure. Companies have implemented AI-driven features designed to automate routine operational tasks and accelerate incident resolution processes.
By Matt SaundersReport Shows OpenTelemetry’s Impact on Go Performance
A new benchmark study from observability platform Coroot has shed light on the performance costs of implementing OpenTelemetry in high-throughput Go applications. The findings show that while OpenTelemetry delivers valuable trace-level insights, it introduces notable overhead, increasing CPU usage by approximately 35% and increasing network traffic and latency under load.
By Craig RisiAnthropic Upgrades App-Building Capabilities to Claude Artifacts
Anthropic has upgraded Claude with new app-building capabilities, allowing users to create, host, and share AI applications directly from text prompts. This functionality, known as Artifacts, enables users to build functional tools like data analyzers, flashcard generators, or study aids by simply describing their ideas.
By Daniel DominguezPodcast: Achieving Seamless Integration Through User Co-Design
Savannah Kunovsky and Jenna Fizel, co-managing directors of IDEO’s Emerging Technology division, talk about the future of technology in general and how we can work with our users to build the most impactful product. They explore prototyping and co-design techniques, as well as how generative AI can help with rapid prototyping.
By Savannah Kunovsky, Jenna FizelArticle: Why Is My Docker Image So Big? A Deep Dive with ‘dive’ to Find the Bloat
AI images typically bloat from massive library installations and base OS components, with large Docker images slowing AI development and increasing costs. Chirag Agrawal demonstrates how to diagnose bloat using Docker's history and the interactive 'dive' tool to examine each layer in detail. The article shows how effective diagnosis leads to targeted optimizations.
By Chirag Agrawal