Cloud Computing

Cloud SQL Enterprise Plus edition provides high performance and availability for demanding applications with enhanced read and write performance. And high-performance applications often require that you tune the underlying database services.  To help application developers and DBAs build and deploy high performing applications, we’ve added new capabilities to query insights for Cloud SQL Enterprise Plus […]

In the federal government, organizations face unique challenges in meeting strict security and compliance requirements. FedRAMP, IL4, and IL5 standards set forth rigorous guidelines to ensure the protection of sensitive data and systems. Google Cloud understands the importance of meeting these accreditation needs and provides a comprehensive suite of tools and capabilities to support federal

If you run stateful workloads on Google Kubernetes Engine (GKE), you may have noticed that your Cluster upgrades execute much faster as of late. You’re not imagining things. We recently introduced an  enhancement to GKE and Google Compute Engine that significantly improves the speed at which Persistent Disks (PDs) are attached and detached. This means

The ability to deploy Swift’s Alliance Connect Virtual in Google Cloud allows financial institutions to leverage the scalability, flexibility, and cost-effectiveness of cloud infrastructure while maintaining the security and reliability standards required for financial transactions. By virtualizing the traditionally hardware-based Swift VPN connections, institutions can streamline their infrastructure, reduce operational overhead, and accelerate their digital

Written By: Jacob Paullus, Daniel McNamara, Jake Rawlins, Steven Karschnia Executive Summary Mandiant exploited flaws in the Microsoft Software Installer (MSI) repair action of Lakeside Software’s SysTrack installer to obtain arbitrary code execution. An attacker with low-privilege access to a system running the vulnerable version of SysTrack could escalate privileges locally. Mandiant responsibly disclosed this

For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It does so by leveraging OpenXLA, developed by Google, which gives developers the ability to define