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  • Cloud Blog: How to Build Highly Available Multi-regional Services with Cloud Run

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/how-to-build-highly-available-multi-regional-services-with-cloud-run/ Source: Cloud Blog Title: How to Build Highly Available Multi-regional Services with Cloud Run Feedly Summary: Ever worry about your applications going down just when you need them most? The talk at Cloud Next 2025, Run high-availability multi-region services with Cloud Run, dives deep into building fault tolerant and reliable applications using…

  • Cloud Blog: StreamSight: Driving transparency in music royalties with AI-powered forecasting

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/media-entertainment/streamsight-driving-transparency-in-music-royalties-with-ai-powered-forecasting/ Source: Cloud Blog Title: StreamSight: Driving transparency in music royalties with AI-powered forecasting Feedly Summary: In an industry generating vast volumes of streaming data every day, ensuring precision, speed, and transparency in royalty tracking is a constant and evolving priority. For music creators, labels, publishers, and rights holders, even small gaps in…

  • Cloud Blog: Accelerate your IPv6 journey: Introducing DNS64 and NAT64 for the Cross-Cloud Network

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/networking/connect-ipv6-only-workloads-to-ipv4-with-dns64-and-nat64/ Source: Cloud Blog Title: Accelerate your IPv6 journey: Introducing DNS64 and NAT64 for the Cross-Cloud Network Feedly Summary: We introduced Cross-Cloud Network to help organizations transform hybrid and multicloud connectivity, and today, many customers are using it to build distributed applications across multiple clouds, on-premises networks, and the internet. A key aspect…

  • Cloud Blog: Introducing BigQuery soft failover: Greater control for disaster recovery testing

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-managed-disaster-recovery-adds-soft-failover/ Source: Cloud Blog Title: Introducing BigQuery soft failover: Greater control for disaster recovery testing Feedly Summary: Most businesses with mission-critical workloads have a two-fold disaster recovery solution in place that 1) replicates data to a secondary location, and 2) enables failover to that location in the event of an outage. For BigQuery,…

  • Cloud Blog: Google Cloud’s open ecosystem for Apache Iceberg

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/committing-to-apache-iceberg-with-our-ecosystem-partners/ Source: Cloud Blog Title: Google Cloud’s open ecosystem for Apache Iceberg Feedly Summary: AI is transforming data into a strategic asset, driving demand for flexible, integrated, and real-time data architectures. But yesterday’s data tools can’t handle AI’s demand for massive volumes of real-time and multi-modal data. Data lakes, for instance, offer flexibility…

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

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    by

    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…

  • Slashdot: Microsoft Reveals Two In-House AI Models

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    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/08/28/2058255/microsoft-reveals-two-in-house-ai-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Reveals Two In-House AI Models Feedly Summary: AI Summary and Description: Yes Summary: Microsoft has launched two AI models, MAI-Voice-1 and MAI-1-Preview, enhancing its AI capabilities in speech generation and foundational model training. These developments present significant implications for professionals involved in AI, especially in relation to generative…