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Google's Vertex AI in Firebase SDK Now Ready for Production Use
Three months after its launch in beta, the Vertex AI in Firebase SDK is now ready for production, says Google engineer Thomas Ezan, who further explores three dimensions that are essential for its successful deployment to production: abuse prevention, remote configuration, and responsible AI use.
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Google Introduces Veo and Imagen 3 for Advanced Media Generation on Vertex AI
Google Cloud has introduced Veo and Imagen 3, two new generative AI models available on its Vertex AI platform. Veo generates high-definition videos from text or image prompts, while Imagen 3 creates detailed, lifelike images. Both models include customization and editing tools, designed to support applications, with safety measures such as digital watermarking and data governance built-in.
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Anna Berenberg Talks at QCon San Francisco on Google's One Network
Anna Berenberg, an Engineering Fellow at Google Cloud, unveiled One Network, a cloud-agnostic architecture that simplifies complex interconnected systems. Unifying disparate environments and leveraging open-source technologies enhances operational efficiency and consistency in security policies, empowering developers to focus on service endpoints while ensuring seamless platform integration.
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First Google Axion Processor Now Available: Claims Best Performance in Cloud Market
Google has announced the general availability of its C4A virtual machines, marking the debut of Axion-based instances. The cloud provider claims these instances deliver up to 10% better price-performance compared to the latest Arm-based alternatives from competitors, including Amazon Graviton4.
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Google Cloud Boosts Observability Capabilities with Log Scopes
Google Cloud recently introduced log scopes for Cloud Logging, aimed at improving how organizations manage and analyze their logs. This enhancement addresses the common challenge of finding relevant data from the vast amount of information in observability tools.
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How Allegro Reduced the Cost of Running a GCP Dataflow Pipeline by 60%
Allegro achieved significant savings for one of the Dataflow Pipelines running on GCP Big Data. The company continues working on improving the cost-effectiveness of its data workflows by evaluating resource utilization, enhancing pipeline configurations, optimizing input and output datasets, and improving storage strategies.
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GitHub and Google Cloud Collaborate to Bring Gemini 1.5 Pro to GitHub Copilot
GitHub's partnership with Google Cloud brings Gemini 1.5 Pro to GitHub Copilot, revolutionizing development with AI that processes two million tokens. This natively multimodal tool excels at code generation, analysis, and optimization, empowering developers to effortlessly manage extensive codebases in platforms like Visual Studio Code.
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Google Cloud Cost Attribution Solution to Enhance Cloud Cost Visibility
Google Cloud's new Cost Attribution Solution revolutionizes cloud cost management with enhanced metadata and labeling tools. Tailored for both newcomers and veterans, it enables organizations to track expenses by team, project, and service, fostering informed financial decisions. With automated labeling and detailed reports, businesses can optimize resource allocation and cost visibility.
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Google Cloud Adds Scalable Vector Search to Memorystore for Valkey & Redis Cluster
Google Cloud has introduced scalable vector-search capabilities to its Memorystore for Valkey and Redis Cluster. This update allows developers to perform vector searches at ultra-low latencies over billions of vectors.
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Terraform Google Provider 6.0: Automatic Labeling, Extended Naming Flexibility, and More
HashiCorp released version 6.0 of the Terraform Google provider, delivering key updates to improve cloud infrastructure management and developer workflows. The release introduces automatic labeling for Terraform-created resources, expanded naming flexibility, and removal of deprecated features. It also simplifies handling Google IDs and IAM binding for external resources.
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Google Proposes Adding Pipe Syntax to SQL
In a recent paper titled "SQL Has Problems. We Can Fix Them", a research team at Google proposed the introduction of a new Pipe Syntax in SQL. Google's solution to address perceived limitations in SQL is currently available in the GoogleSQL and ZetaSQL dialects, but it has received mixed feedback from the community.
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Google Cloud Launches C4 Machine Series: High-Performance Computing and Data Analytics
Google Cloud recently announced the general availability of its new C4 machine series, powered by 4th Gen Intel Xeon Scalable Processors (Sapphire Rapids). The series offers a range of configurations tailored to meet the needs of demanding applications such as high-performance computing (HPC), large-scale simulations, and data analytics.
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Elastic and Google Cloud Collaborate for Enhanced Security Analytics
Recently, Elastic and Google Cloud discussed their partnership to deliver a comprehensive security solution. This collaboration merges the Elastic Search AI Platform with Google Cloud's scalable and secure infrastructure, establishing a security platform designed to safeguard hybrid workloads.
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Spanner Graph: Google Introduces Graph Database on Spanner
At the recent Cloud Next conference in Tokyo, Google announced Spanner Graph, a managed feature that integrates graph, relational, search, and AI capabilities within Spanner. This new database supports a graph query interface compatible with ISO GQL (Graph Query Language) standards while avoiding the need for a standalone graph database.
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Google Cloud Introduces Geo-Partitioning for Spanner: Reduced Latency and Cost Optimization
Google Cloud has announced adding geo-partitioning to Spanner, its fully-managed, globally distributed database. According to the company, this new feature aims to improve performance and user experience for geographically dispersed applications and users while optimizing operational costs.