Amazon Web Services (AWS) is announcing two new features for the AWS Command Line Interface (AWS CLI) v2: structured error output and the “off” output format. Structured error output Errors returned from AWS service APIs often include useful details beyond the code and message—bucket names, validation reasons, resource IDs—that were previously hidden unless you used […]
Announcing new output formats in AWS CLI v2 Read More »
In alignment with our previous announcement in August 2025 and SDKs and Tools Maintenance Policy, version 4 of the AWS Tools for PowerShell (AWS Tools for PowerShell v4.x) will enter maintenance mode on March 1, 2026 and reach end-of-support on June 1, 2026. Beginning March 1, 2026, AWS Tools for PowerShell v4.x will enter maintenance
AWS Tools for PowerShell v4 Maintenance Mode Announcement Read More »
In modern cloud architectures, APIs are the fundamental building blocks of applications. However, as organizations scale, these APIs often end up scattered across multiple gateways, teams, and platforms. This sprawl creates blind spots that hinder governance and reusability, but it creates an even bigger problem for the next generation of software: it can block the
Turn your API sprawl into an agent-ready catalog Read More »
Enterprise architects often face a fundamental dilemma: choosing between developer agility and organizational control. Development teams need to move fast and deploy independent microservices without waiting for permission. Security and compliance teams need to be safe, and ensure that data flow is observable and governed by policies. That’s why we built Eventarc Advanced, a serverless
Centralized policy meets distributed logic: Getting to know Eventarc Advanced Read More »
When scaling conversational agents, the data layer design often determines success or failure. To support millions of users, agents need conversational continuity — the ability to maintain responsive chats while preserving the context backend models need. This article covers how to use Google Cloud solutions to solve two data challenges in AI: fast context updates
Give your agentic chatbots a fast and reliable long-term memory Read More »
I live through the same story with every single AI agent. After weeks of experiments and tests, it works like a charm. Suddenly, someone comes with a question that the agent fails to answer properly. I rush to make a change by tweaking one of the prompts. After a handful of tweaks, the failed prompt
From “Vibe Checks” to Continuous Evaluation: Engineering Reliable AI Agents Read More »
Welcome to the second Cloud CISO Perspectives for February 2026. Today, Royal Hansen, vice-president, Engineering, explains how we tackle today’s thorniest cybersecurity challenges. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website and you’d like to receive the email
Ryan welcomes Marcus Fontoura, technical fellow at Microsoft and author of Human Agency in the Digital World, to discuss the intersection of technology, society, and human dignity in a digital-first world.
To live in an AI world, knowing is half the battle Read More »
This post is cowritten by Julio Bando from Santander. Santander faced a significant technical challenge in managing an infrastructure that processes billions of daily transactions across more than 200 critical systems. The expansion into diverse financial services, including investment banking, wealth management, insurance, and payment solutions, had created unprecedented technological complexity, requiring a robust, agile,
The divide between data in operational databases and analytical data lakehouses is disappearing fast. As businesses increasingly adopt zero ETL lakehouse architectures, the challenge shifts from simply storing data in an open data format such as Apache Iceberg to serving it with the low-latency performance and speed that modern applications and AI agents require. Whether
