When version 1 of the AWS Command Line Interface (AWS CLI v1) enters maintenance mode on July 15, 2026, the way its botocore and s3transfer dependencies are bundled will change. This post explains these changes and provides steps to minimize impacts on your workflows and applications. For more information about AWS CLI v1 maintenance mode, […]
AWS CLI v1 maintenance mode: announcing changes to dependency updates Read More »
From foundational ETL and analytics to the frontier of generative AI, Apache Spark serves as the architectural backbone for global data processing. However, as data volumes scale, the trade-off between performance and infrastructure costs can be a limiting factor for growth. In the agentic era, where autonomous agents can trigger thousands of concurrent, multi-hop queries,
Deep dive: How Lightning Engine delivers 4.9x faster Apache Spark performance Read More »
Running Snowflake on AWS means navigating two distinct sets of best practices simultaneously: AWS Well-Architected guidance for infrastructure, and Snowflake Well-Architected Framework guidance for compute, data organization, and governance. Without a unified review framework, security controls go unmapped to Snowflake configurations. Production readiness timelines stretch as teams reconcile guidance from two separate review processes, and
Introducing the Snowflake and AWS Custom Lens for the AWS Well-Architected Framework Read More »
If your coding agent has questions, Stack Overflow for Agents has answers, now in beta.
TL;DR: Antigravity 2.0: A desktop app to orchestrate multiple autonomous agents working in parallel across independent projects. Antigravity CLI: A terminal interface designed for command-line workflows and headless execution. Antigravity IDE: An editor for developers who want to write code directly alongside an agent. Antigravity SDK: A Python library for building and deploying your own
Claude Fable 5, Anthropic’s latest frontier model, is now generally available on Google Cloud. This launch is the latest proof point of our ongoing commitment to bring the industry’s latest models straight to our Agent Platform. Claude Fable 5 brings the best of Anthropic model capabilities to all customers, with strong safeguards designed to make
Claude Fable 5: Available on Google Cloud Read More »
The public sector has reached a critical inflection point. For years, organizations have explored what’s possible through isolated AI pilots and experimentation. Today, the question has shifted to “what creates impact?” where the focus is no longer on hypotheticals, but on achieving real productivity gains, improving services and outcomes, and advancing your mission – right
Gemini for Government: Your blueprint for mission impact Read More »
Healthcare providers manage millions of paper medical records that remain disconnected from modern clinical systems. Clinicians make decisions without full patient histories, organizations spend millions on manual data entry, and critical information stays trapped in formats that modern applications can’t read. The technical challenge is clear: how do you transform unstructured, scanned documents into standardized,
As generative AI moves from experimental pilots to massive production environments, the efficiency of your infrastructure becomes the ultimate differentiator. One way to get the most out of it and minimize costly accelerator idle time is to leverage the Google Kubernetes Engine (GKE) Inference Gateway, which intelligently routes generative AI workloads based on real-time model
Report: GKE Inference Gateway delivers up to 92% faster AI responses Read More »
How do you prove the business value of generative AI to your teams? Technology and finance leaders need to show the clear business value of AI projects to secure ongoing funding. While measuring return on investment (ROI) is a key part of validating your technical strategy, long-term success ultimately depends on building the organizational systems
