“Forgive yourself for not knowing what you didn’t know before you learned it.” When Maya Angelou said that, she made — intentionally or not — a wise observation about careers in technology. If you’ve never worked in the cloud, it can be hard to know where to start. Even if you’re a seasoned Cloud Architect, […]
Discover Google Cloud careers and credentials in our new Career Dreamer Read More »
Running and managing Apache Kafka clusters can be costly as your business and streaming workloads grow. Today, we’re announcing the general availability of Managed Service for Apache Kafka committed use discounts (CUDs), which let you save up to 40% on compute costs. Read more to learn how to save money with CUDs and other cost
How to reduce costs with Managed Service for Apache Kafka: CUDs, compression and more Read More »
The next frontier of AI is reasoning models that think critically and learn during inference to solve complex problems. To train and serve this new class of models, you need infrastructure with the performance and efficiency to not only handle massive datasets and context windows, but also to deliver rapid, reliable responses. To continue to
Introducing A4X VMs powered by NVIDIA GB200 — now in preview Read More »
Written by: Dan Black Google Threat Intelligence Group (GTIG) has observed increasing efforts from several Russia state-aligned threat actors to compromise Signal Messenger accounts used by individuals of interest to Russia’s intelligence services. While this emerging operational interest has likely been sparked by wartime demands to gain access to sensitive government and military communications in
How a theater major became a fullstack engineer building software to manage climate change.
WBIT #4: Using GIS to understand the rivers and the lakes that you’re used to Read More »
In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema handling, data quality, and even data generation. Building upon the recently released Gemini in BigQuery Data preparation capabilities, this blog showcases areas where gen
How to use gen AI for better data schema handling, data quality, and data generation Read More »
Welcome to the first Cloud CISO Perspectives for February 2025. Stephanie Kiel, our head of cloud security policy, government affairs and public policy, discusses two parallel and important security conversations she had at the Munich Security Conference, following our new reports on AI and cybercrime. As with all Cloud CISO Perspectives, the contents of this
BigQuery Machine Learning allows you to use large language models (LLMs), like Gemini, to perform tasks such as entity extraction, sentiment analysis, translation, text generation, and more on your data using familiar SQL syntax. Today, we are extending this capability with support for any open-source LLM from the Vertex AI Model Garden — including any
BigQuery ML is now compatible with open-source gen AI models Read More »
Minh Nguyen, VP of Engineering at Transcend, joins Ryan for a conversation about the complexities of privacy and consent in tech, from the challenges organizations face in managing data privacy to the importance of consent management tools to the evolving landscape of privacy regulations.
Why is it so hard for companies to protect your privacy? Read More »
Organizations that are interested in improving their development velocity that follow the principles of the twelve-factor app might find benefits in understanding how to realize those concepts on Amazon Web Services (AWS). In this post, I will help you correlate the twelve-factors app concepts as you architect solutions on AWS. Twelve-factors Let’s start with a quick
Realizing twelve-factors with the AWS Well-Architected Framework Read More »
