Cloud Computing

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 […]

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

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

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

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

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

With the dawn of the gen AI era, businesses are facing unprecedented opportunities for transformative products, demanding a strategic shift in their technology infrastructure. A few years ago, PayPal, a digital-native company serving hundreds of millions of customers, faced a significant challenge. After 25 years of success in expanding services and capabilities, we’d created complexity

Today, we’re entering a new and vibrant era of generative creativity with Nano Banana 2.   What’s new: Nano Banana 2 is our state-of-the-art image generation and editing model. It delivers Pro-level image generation and editing at the speed you expect from Flash — making the quality, reasoning, and world knowledge you loved about Nano Banana