Cloud Computing

7 Technical Takeaways from Using Gemini to Generate Code Samples at Scale

Using Generative AI to write code is a well-known task, but relying on it to produce production-ready educational content is a different challenge. When we started using Gemini to assist with our work to expand the breadth of resources available to explain Google Cloud products, we realized we needed something more than just existing, general […]

7 Technical Takeaways from Using Gemini to Generate Code Samples at Scale Read More »

Gemini Enterprise Agent Ready (GEAR) program now available, a new path to building AI agents at scale

Today’s reality is agentic – software that can reason, plan, and act on your behalf to execute complex workflows. To meet this moment, we are excited to open the Gemini Enterprise Agent Ready (GEAR) learning program to everyone. As a new specialized pathway within the Google Developer Program, GEAR empowers developers and pros to build

Gemini Enterprise Agent Ready (GEAR) program now available, a new path to building AI agents at scale Read More »

Google Distributed Cloud brings public-cloud-like networking to air-gapped environments

Organizations in highly regulated industries often struggle to balance the rigid security of air-gapped environments with the need for the agility and flexibility that the cloud provides. To address this, Google Distributed Cloud (GDC) air-gapped 1.15 introduces new networking features in preview that give you more direct control and visibility without compromising your security posture,

Google Distributed Cloud brings public-cloud-like networking to air-gapped environments Read More »

Beyond the Battlefield: Threats to the Defense Industrial Base

Introduction  In modern warfare, the front lines are no longer confined to the battlefield; they extend directly into the servers and supply chains of the industry that safeguards the nation. Today, the defense sector faces a relentless barrage of cyber operations conducted by state-sponsored actors and criminal groups alike. In recent years, Google Threat Intelligence

Beyond the Battlefield: Threats to the Defense Industrial Base Read More »

OTLP everywhere: Cloud Monitoring now supports OpenTelemetry Protocol metrics

As part of our commitment to open standards, Google Cloud is deeply invested in making OpenTelemetry the universal client, data format, and set of standards for telemetry data. Last year we announced support in Cloud Observability for sending traces using OpenTelemetry Protocol (OTLP). Today, we’re excited to announce the next step toward our goal of

OTLP everywhere: Cloud Monitoring now supports OpenTelemetry Protocol metrics Read More »

Introducing Multipart Download Support for AWS SDK for .NET Transfer Manager

The new multipart download support in AWS SDK for .NET Transfer Manager improves the performance of downloading large objects from Amazon Simple Storage Service (Amazon S3). Customers are looking for better performance and parallelization of their downloads, especially when working with large files or datasets. The AWS SDK for .NET Transfer Manager (version 4 only)

Introducing Multipart Download Support for AWS SDK for .NET Transfer Manager Read More »

UNC1069 Targets Cryptocurrency Sector with New Tooling and AI-Enabled Social Engineering

Written by: Ross Inman, Adrian Hernandez Introduction North Korean threat actors continue to evolve their tradecraft to target the cryptocurrency and decentralized finance (DeFi) verticals. Mandiant recently investigated an intrusion targeting a FinTech entity within this sector, attributed to UNC1069, a financially motivated threat actor active since at least 2019. This investigation revealed a tailored

UNC1069 Targets Cryptocurrency Sector with New Tooling and AI-Enabled Social Engineering Read More »

How we cut Vertex AI latency by 35% with GKE Inference Gateway

As generative AI moves from experimentation to production, platform engineers face a universal challenge for inference serving: you need low latency, high throughput, and manageable costs.  It is a difficult balance. Traffic patterns vary wildly, from complex coding tasks that require processing huge amounts of data, to quick, chatty conversations that demand instant replies. Standard

How we cut Vertex AI latency by 35% with GKE Inference Gateway Read More »