In a world of agentic AI, building an agent is only half the battle. The other half is understanding how users are interacting with it. What are their most common requests? Where do they get stuck? What paths lead to successful outcomes? Answering these questions is the key to refining your agent and delivering a […]
From interaction to insight: Announcing BigQuery Agent Analytics for the Google ADK Read More »
An update on recent launches and the upcoming roadmap
Community Products roadmap update, November 2025 Read More »
Written by: Harsh Parashar, Tierra Duncan, Dan Perez Google Threat Intelligence Group (GTIG) is tracking a long-running and adaptive cyber espionage campaign by APT24, a People’s Republic of China (PRC)-nexus threat actor. Spanning three years, APT24 has been deploying BADAUDIO, a highly obfuscated first-stage downloader used to establish persistent access to victim networks. While earlier
Beyond the Watering Hole: APT24’s Pivot to Multi-Vector Attacks Read More »
We are excited to announce plans to bring a new Google Cloud region to Türkiye, as part of Google’s 10-year, $2 billion investment in the country. The establishment of this world-class digital infrastructure, in collaboration with Turkcell, marks a significant multi-year investment to accelerate digital transformation in Türkiye and cloud innovation across the region. “The
A new Google Cloud region is coming to Türkiye as part of $2 billion investment Read More »
When building generative AI applications, enterprises need to govern foundation model usage through authorization, quota management, tenant isolation, and cost control. To meet these needs, Dynatrace developed a robust AI gateway architecture that has evolved into a reusable reference pattern for organizations looking to control access to Amazon Bedrock services at scale. This pattern uses
Building an AI gateway to Amazon Bedrock with Amazon API Gateway Read More »
Scaling generative AI demands a unified, governed platform that delivers complex agentic capability, end-to-end operational control, and the flexibility of model choice across your enterprise – regardless of where your data resides. We are proud to announce that Google has been recognized as a Leader in the inaugural 2025 Gartner Magic Quadrant for AI Application
We are delighted to announce an update to the AWS Well-Architected Generative AI Lens. This update features several new sections of the Well-Architected Generative AI Lens, including new best practices, advanced scenario guidance, and improved preambles on responsible AI, data architecture, and agentic workflows. The AWS Well-Architected Framework provides architectural best practices for designing and
Announcing the updated AWS Well-Architected Generative AI Lens Read More »
We are excited to announce the updated AWS Well-Architected Machine Learning Lens, now enhanced with the latest capabilities and best practices for building machine learning (ML) workloads on AWS. The AWS Well-Architected Framework provides architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. The Machine Learning Lens
Announcing the updated AWS Well-Architected Machine Learning Lens Read More »
At re:Invent 2025, we introduce one new lens and two significant updates to the AWS Well-Architected Lenses specifically focused on AI workloads: the Responsible AI Lens, the Machine Learning (ML) Lens, and the Generative AI Lens. Together, these lenses provide comprehensive guidance for organizations at different stages of their AI journey, whether you’re just starting
Today, many organizations are moving towards lakehouse architectures to have a single copy of their data and use multiple engines for different workloads — without having to copy or move the data. However, managing a data lakehouse can be complex, often requiring custom pipelines that are hard to operate and that aren’t interoperable between query
