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Tag: tracing capabilities

  • Cloud Blog: OpenTelemetry Protocol comes to Google Cloud Observability

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/management-tools/opentelemetry-now-in-google-cloud-observability/ Source: Cloud Blog Title: OpenTelemetry Protocol comes to Google Cloud Observability Feedly Summary: OpenTelemetry Protocol (OTLP) is a data exchange protocol designed to transport telemetry from a source to a destination in a vendor-agnostic fashion. Today, we’re pleased to announce that Cloud Trace, part of Google Cloud Observability, now supports users sending…

  • Cloud Blog: Simplify complex eventing at Scale with Eventarc Advanced

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/application-modernization/eventarc-advanced-orchestrates-complex-microservices-environments/ Source: Cloud Blog Title: Simplify complex eventing at Scale with Eventarc Advanced Feedly Summary: Modern application development requires organizations to invest not only in scale but also in simplification and central governance. This means more than message routing; it requires a simple, unified messaging platform that can intelligently filter, transform, and govern…

  • Cloud Blog: New G4 VMs with NVIDIA RTX PRO 6000 Blackwell power AI, graphics, gaming and beyond

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/introducing-g4-vm-with-nvidia-rtx-pro-6000/ Source: Cloud Blog Title: New G4 VMs with NVIDIA RTX PRO 6000 Blackwell power AI, graphics, gaming and beyond Feedly Summary: Today, we’re excited to announce the preview of our new G4 VMs based on NVIDIA RTX PRO 6000 Blackwell Server edition — the first cloud provider to do so. This follows…

  • Hacker News: OpenAI adds MCP support to Agents SDK

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    by

    Kurt Seifried
    in

    Source URL: https://openai.github.io/openai-agents-python/mcp/ Source: Hacker News Title: OpenAI adds MCP support to Agents SDK Feedly Summary: Comments AI Summary and Description: Yes Summary: The Model Context Protocol (MCP) is a standardized protocol designed to enhance how applications provide context to Large Language Models (LLMs). By facilitating connections between LLMs and various data sources or tools,…