Cloud Computing

Written by: Stuart Carrera Introduction  Building on recent BRICKSTORM research from Google Threat Intelligence Group (GTIG), this post explores the evolving threats facing virtualized environments. These operations directly target the VMware vSphere ecosystem, specifically the vCenter Server Appliance (VCSA) and ESXi hypervisors. To help organizations stay ahead of these risks, we will focus on the […]

When discussing applications and systems using generative AI and the new opportunities they present, one component of the ecosystem is irreplaceable – data. Specifically, the data that companies gather, hold, and use daily. This data serves as the backbone for applications, analytics, knowledge bases, and much more. We use databases to store and work with

Workplace safety has improved dramatically over the past several decades. According to the Bureau of Labor Statistics, occupational injury rates in the United States have declined by more than 60% since the early 1970s. This is driven by stronger regulations, better training programs, and a growing culture of safety-first operations. Despite this progress, the International

As AI workloads transition from experimental prototypes to production-grade services, the infrastructure supporting them faces a growing utilization gap. Enterprises today typically face a binary choice: build for high-concurrency, low-latency real-time requests, or optimize for high-throughput, “async” processing. In Kubernetes environments, these requirements are traditionally handled by separate, siloed GPU and TPU accelerator clusters. Real-time

Learn how you can use AWS services like AWS Backup and AWS Elastic Disaster Recovery (AWS DRS), along with AWS Resilience Competency Partner solutions like Arpio to implement powerful and comprehensive Disaster Recovery solutions. Resilience is the ability of your application to keep running even when “bad stuff” happens. A critical part of your resilience

In the age of agentic AI, the role of databases is fundamentally changing. It’s evolving from a passive data repository into an intelligent, active context hub designed to ground generative AI foundation models and a reasoning engine that drives proactive actions. To power sophisticated AI and agentic workflows, a database must do more than store

In the first post on the power of multi-model databases to lay the foundations for gen AI, we highlighted how Google Cloud Spanner helps organizations overcome some  of the challenges presented by traditional approaches to database architecture and management. In this post, we dive deeper on the specific examples, across four common use cases.  We