Cloud Computing

OpenTelemetry Protocol comes to Google Cloud Observability

Cloud Computing /

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 trace data using OTLP via telemetry.googleapis.com. Fig 1: Both in-process and collector based configurations can use […]

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How Rent the Runway supercharges developer speed and insights with Cloud SQL

Cloud Computing /

Editor’s note: Rent the Runway is redefining how consumers engage with fashion, offering on-demand access to designer clothing through a unique blend of e-commerce and reverse logistics. As customer expectations around speed, personalization, and reliability continue to rise, Rent the Runway turned to Google Cloud’s fully managed database services to modernize its data infrastructure. By

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Building scalable, resilient enterprise networks with Network Connectivity Center

Cloud Computing /

For large enterprises adopting a cloud platform, managing network connectivity across VPCs, on-premises data centers, and other clouds is critical. However, traditional models often lack scalability and increase management overhead. Google Cloud’s Network Connectivity Center is a compelling alternative.  As a centralized hub-and-spoke service for connecting and managing network resources, Network Connectivity Center offers a

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Prove your expertise with our Professional Security Operations Engineer certification

Cloud Computing /

Security leaders are clear about their priorities: After AI, cloud security is the top training topic for decision-makers. As threats against cloud workloads become more sophisticated, organizations are looking for highly-skilled professionals to help defend against these attacks. To help organizations meet their need for experts who can manage a modern security team’s advanced tools,

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Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer

Cloud Computing /

As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make predictions or decisions based on new, unseen data. While great at training models, traditional GPU-based serving architectures struggle with the “multi-turn” nature

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