Ryan is joined by Jeremy Edberg, CEO of DBOS, and Qian Li, co-founder of DBOS, to discuss durable execution and its use cases, its implementation using technologies like PostgreSQL, and its applications in machine learning pipelines and AI systems for reliability, debugging, and observability.
Durable execution: autosave for your microservices Read More »
This post was co-written with JB Brown from Smartsheet. Organizations are often seeking ways to enhance developer productivity while maintaining cost-efficiency. AI-powered coding assistants are effective solutions to accelerate development cycles, but implementing these solutions at scale while managing costs presents unique challenges. Roo Code, an AI-powered autonomous coding agent located directly in developers’ editors,
How Smartsheet boosts developer productivity with Amazon Bedrock and Roo Code Read More »
Monitoring food intake is a key factor in maintaining a balanced diet, but traditional documentation can be cumbersome and ineffective. Oviva set out to change this. That’s why we developed an AI-powered meal logging app that simplifies the meal logging process and enhances the quality of feedback people receive, helping them make better dietary decisions.
Oviva builds AI meal logging app with Google Cloud Read More »
An update to the research that the User Experience team is running over the next quarter.
Research roadmap update, May 2025 Read More »
Today, we’re excited to announce the general availability (GA) of GKE Data Cache, a powerful new solution for Google Kubernetes Engine to accelerate the performance of read-heavy stateful or stateless applications that rely on persistent storage via network attached disks. By intelligently utilizing high-speed local SSDs as a cache layer for persistent disks, GKE Data
Supercharge data access performance with GKE Data Cache Read More »
Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous instances, and pinpointing performance bottlenecks. At Google Cloud, we’re focused on making AI training easier, whatever your scale. We’re continuously evolving
Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language — a.k.a. text-to-SQL. This capability increases developer and analysts’ productivity and empowers non-technical users to interact directly with the data they need.
Getting AI to write good SQL: Text-to-SQL techniques explained Read More »
Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and
Salesforce wants to do for agentic AI what they did for SaaS Read More »
Today’s businesses have a vital need to manage and, when appropriate, transfer cyber risk in their cloud environments — even with robust security measures in place. At Google Cloud Next last month, we unveiled significant advancements to our Risk Protection Program, an industry-first collaboration between Google and leading cyber insurers that provides competitively priced cyber-insurance
Expanding our Risk Protection Program with new insurance partners and AI coverage Read More »
Handwritten documents are still an important form of data capture in agribusiness. Paper-based handwritten documents can be the result of business culture, lack of internet connectivity, lack of mobile devices or computers, or environmental conditions in the field or in an industrial setting. Because of the physical nature of the document, there might be a
