Cloud Computing

We are pleased to share that Gartner® has named Google a Leader in the 2025 Magic Quadrant™ for Analytics and Business Intelligence, for the second consecutive year. We believe this validates our strategy of delivering a comprehensive BI platform for self-service and governed environments that’s accessible to entire organizations through natural language, and backed by […]

Written by: Gabby Roncone, Wesley Shields In cooperation with external partners, Google Threat Intelligence Group (GTIG) observed a Russia state-sponsored cyber threat actor impersonating the U.S. Department of State. From at least April through early June 2025, this actor targeted prominent academics and critics of Russia, often using extensive rapport building and tailored lures to

Software development is far more than just writing code. In reality, a developer spends a large amount of time maintaining existing applications and fixing bugs. For example, migrating a Go application from the older AWS SDK for Go v1 to the newer v2 can be a significant undertaking, but it’s a crucial step to future-proof

To help protect against evolving digital threats like ransomware and malicious deletions, last year, we introduced backup vault in the Google Cloud Backup and DR service, with support for Compute Engine VM backups. This provided immutable and indelible backup capabilities for mission-critical VMs, for both VM metadata and all their attached disks. Today, we’re announcing

As a customer of Google Kubernetes Engine (GKE), you’ve selected a container runtime with a high degree of managed operations, encompassing everything from automatic upgrades to effortless node management. This inherent efficiency allows you to focus more on your applications, and less on the underlying infrastructure. In an ideal world, this streamlined experience, coupled with

Today, we’re incredibly proud to announce the graduation of the latest cohort from the Google for Startups Accelerator: AI First from Europe & Israel! This milestone marks the culmination of an intensive three-months journey for these 14 innovative startups, who’ve dedicated themselves to growing their businesses and pushing the boundaries of artificial intelligence. The hybrid

Integrating context from tools and data sources into LLMs can be challenging, which impacts ease-of-use in the development of AI agents. To address this challenge, Anthropic introduced the Model Context Protocol (MCP), which standardizes how applications provide context to LLMs. Imagine you want to build an MCP server for your API to make it available