Cloud Computing

As developers and operators, you know that having access to the right information in the proper context is crucial for effective troubleshooting. This is why organizations invest a lot upfront curating monitoring resources across different business units: so information is easy to find and contextualize when needed. Today we are reducing the need for this

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

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

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

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