MLOps in BigQuery ML with Vertex AI Model Registry
Without a central place to manage models, those responsible for operationalizing ML models have no way of knowing the overall status of trained models and data. This lack of manageability can impact the review and release process of models into production, which often requires offline…
Google Cloud’s key investment areas to accelerate your database transformation
The sky’s the limit when it comes to reimagining digital experiences. At least, that’s how consumers view it. Applications are about more than delivering a service. Today’s customers also expect them to be lightning fast, personalized, and easy to use. Operational databases power your most…
Introducing Serverless Spark for interactive development
At Google Cloud, they are committed to helping you build an open and integrated data platform that meets your specific business needs. Google believe in order to build the world you want, you need to be able to use the tools you want, on a…
Reduce scaling costs by up to 50% in Cloud Spanner with doubled provisioned storage
Cloud Spanner is Google Cloud’s fully managed relational database that offers unlimited scale, strong consistency across regions, and high availability up to 99.999%. Spanner handles more than two billion requests per second. Spanner is trusted by customers in financial services, retail, gaming and many other…
Vimeo builds a fully responsive video platform on Google Cloud
Vimeo is the world’s leading video software solution, powering hundreds of thousands of new uploads every day and billions of views. At our scale, it’s paramount that we retain a seamless user experience across all of the videos hosted, shared, and viewed on Google’s platform. With…
Calling Google APIs from serverless (Part I: Cloud APIs)
Introduction As Google Cloud users, you may already be familiar with Google App Engine, Cloud Functions, or Cloud Run, our serverless platforms allowing technical practitioners to focus on building solutions, not what they run on. Google as a whole, has many divisions which provide developer tools beyond these platforms, so a common…
Industry-leading reliability, global scale & open standards with Google Cloud Databases
In today’s digital landscape, consumers expect near-instant feats of speed and personalized service packaged up as easy-to-use apps. To them, the sky’s the limit when it comes to what’s possible from technology experiences. But meeting (and ideally, exceeding) their expectations is often a heavy lift…
Confidential VMs – a security breakthrough for medical device software
Delivering better healthcare is increasingly dependent on technology. Recently, there has been movement towards self-managed healthcare via remote technology – a trend that accelerated during the COVID-19 pandemic. Examples of this are initiatives that directly empower consumers to obtain preventive therapies without a physician’s prescription. AstraZeneca,…
It’s official—Google Distributed Cloud Edge is generally available
Last year, Google announced Google Distributed Cloud (GDC), a portfolio of fully managed hardware and software that allows organizations to run workloads at the edge. Today, Google are excited to announce the general availability of Google Distributed Cloud Edge, including Google Distributed Cloud Edge Appliances. GDC Edge empowers…
Regain Cloud SQL disk space with Database Migration Service
So you made a mistake, you pushed an application change that accidentally caused a massive surge of data to hit your database. And now your instance has made happy use of the feature of automatically expanding your storage when you get close to running out…
Save big by temporarily suspending unneeded Compute Engine VMs
One of the best aspects of the cloud is the ability to purchase and use only what you need. This enables you to take advantage of modern and performant computing while fine tuning cost optimization. With Suspend/Resume, Generally Available today, you have even more…
Meet AI’s multitool: Vector embeddings
Embeddings are one of the most versatile techniques in machine learning, and a critical tool every ML engineer should have in their toolbelt. It’s a shame, then, that so few of us understand what they are and what they’re good for! The problem, perhaps, is…