Cloud Computing

When building generative AI applications, enterprises need to govern foundation model usage through authorization, quota management, tenant isolation, and cost control. To meet these needs, Dynatrace developed a robust AI gateway architecture that has evolved into a reusable reference pattern for organizations looking to control access to Amazon Bedrock services at scale. This pattern uses

Scaling generative AI demands a unified, governed platform that delivers complex agentic capability, end-to-end operational control, and the flexibility of model choice across your enterprise – regardless of where your data resides. We are proud to announce that Google has been recognized as a Leader in the inaugural 2025 Gartner Magic Quadrant for AI Application

We are delighted to announce an update to the AWS Well-Architected Generative AI Lens. This update features several new sections of the Well-Architected Generative AI Lens, including new best practices, advanced scenario guidance, and improved preambles on responsible AI, data architecture, and agentic workflows. The AWS Well-Architected Framework provides architectural best practices for designing and

We are excited to announce the updated AWS Well-Architected Machine Learning Lens, now enhanced with the latest capabilities and best practices for building machine learning (ML) workloads on AWS. The AWS Well-Architected Framework provides architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. The Machine Learning Lens

At re:Invent 2025, we introduce one new lens and two significant updates to the AWS Well-Architected Lenses specifically focused on AI workloads: the Responsible AI Lens, the Machine Learning (ML) Lens, and the Generative AI Lens. Together, these lenses provide comprehensive guidance for organizations at different stages of their AI journey, whether you’re just starting

Today, many organizations are moving towards lakehouse architectures to have a single copy of their data and use multiple engines for different workloads — without having to copy or move the data. However, managing a data lakehouse can be complex, often requiring custom pipelines that are hard to operate and that aren’t interoperable between query

Welcome to the second Cloud CISO Perspectives for November 2025. Today, Phil Venables, Google Cloud’s current strategic security advisor and former CISO, and creator of this newsletter, shares his thoughts on how the role of the CISO is evolving in the AI era, and how organizations should shift their cybersecurity approach from fire stations to

We are thrilled to announce the integration of TimesFM into our leading data platforms, BigQuery and AlloyDB. This brings the power of large-scale, pre-trained forecasting models directly to your data within the Google Data Cloud, enabling you to predict future trends with unprecedented ease and accuracy. TimesFM is a powerful time-series foundation model developed by

Running AI workloads in a hybrid fashion — in your data center and in the cloud — requires sophisticated, global networks that unify cloud and on-premises resources. While Google’s Cloud WAN provides the necessary unified network fabric to connect VPCs, data centers, and specialized hardware, this very interconnectedness exposes a critical, foundational challenge: IP address