Cloud Computing

How to enable Secure Boot for your AI workloads

As organizations race to deploy powerful GPU-accelerated workloads, they might overlook a foundational step: ensuring the integrity of the system from the very moment it turns on.  Threat actors, however, have not overlooked this. They increasingly target the boot process with sophisticated malware like bootkits, which seize control before any traditional security software can load […]

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Implement monitoring for Amazon EKS with managed services

In this post, we show you how to implement comprehensive monitoring for Amazon Elastic Kubernetes Service (Amazon EKS) workloads using AWS managed services. Amazon EKS offers compelling solutions with EKS Auto Mode and AWS Fargate, each designed for different use cases. This solution demonstrates building an EKS platform that combines flexible compute options with enterprise-grade

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Preview Release of the AWS SDK Java 2.x HTTP Client built on Apache HttpClient 5.5.x

The AWS SDK for Java 2.x introduces the Apache 5 SDK HTTP client which is built on Apache HttpClient 5.5.x. This new SDK HTTP client is available alongside our existing SDK HTTP clients: Apache HttpClient 4.5.x, Netty, URL Connection, and AWS CRT HttpClient. To differentiate the use of Apache HttpClient 4.5.x and Apache HttpClient 5.5.x,

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Cloud CISO Perspectives: Our Big Sleep agent makes a big leap, and other AI news

Welcome to the first Cloud CISO Perspectives for July 2025. Today, Sandra Joyce, vice president, Google Threat Intelligence, talks about an incredible milestone with our Big Sleep AI agent, as well as other news from the intersection of security and AI. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to

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Shaping the future together with our partners: The potential of agentic AI

Partners have always been central to the Google Cloud ecosystem, becoming more and more instrumental in bringing Google’s AI innovations to enterprises. I am inspired by how partners have already built more than 1,000 agentic use cases across every domain to solve deeply entrenched pain points for our shared customers. The emergence of agentic AI

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AI/ML-ready Apache Spark with Dataproc

Apache Spark is the cornerstone for large-scale data processing, model training, and inference for AI/ML workloads. Yet, the complexities of environment configuration, dependency management, and MLOps integration can slow you down. To accelerate your AI/ML journey, Dataproc now delivers powerful, ML-ready capabilities for Spark. Available on both Dataproc on Compute Engine clusters and Google Cloud

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Tzafon selects Google Cloud to build next generation agentic machine intelligence

Tzafon, a San Francisco-based startup and AI R&D lab, is partnering with Google Cloud to utilize Google’s AI-optimized infrastructure and cloud services, which will help Tzafon deliver automation at large scale. The Tzafon team aims to do this by building systems and models that can support multiple, autonomous AI agents that are capable of working

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Build with more flexibility: New open models arrive in the Vertex AI Model Garden

In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in Vertex AI Model Garden. Following the addition of Llama 4 models earlier this year, we are announcing DeepSeek R1 is available for everyone

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