Cloud Computing

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

Cloud SQL is a proven foundation for fully managed databases, offering production-ready MySQL, PostgreSQL, and SQL Server database engines without the operational headache. With Cloud SQL, there’s no need to worry about patches, backups, and scaling limits — just connect your app and start building. Today, we’re announcing new free trial instances designed to help

aside_block <ListValue: [StructValue([(‘title’, ‘Disclaimer: This guide is for informational and educational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment.’), (‘body’, <wagtail.rich_text.RichText object at 0x7f7c104adc40>), (‘btn_text’, ”), (‘href’, ”), (‘image’, None)])]> Artificial intelligence (AI) is revolutionizing healthcare, but how do you take a powerful, general-purpose AI model and teach it

Organizations need message processing systems that can prioritize critical business operations while handling routine tasks efficiently. When handling time-sensitive tasks like rush orders from key customers, critical system alerts, or multi-step business processes, you need to prioritize urgent messages while making sure other routine requests are processed reliably. In this post, we show you how