Google Cloud has become the platform of choice for startups building AI. Our uniquely complete stack — including a choice of first- and third-party compute and models; our platform for building and managing agents; and our products for securing AI workloads — has emerged as the single most important driver of this growth and it […]
The three things today’s hottest startups are looking for in their AI stack Read More »
The AWS CRT for JavaScript is adopting a policy that aligns with the official Node.js release schedule, providing a predictable timeline for when support for older Node.js versions is dropped. The AWS IoT Device SDK for JavaScript v2 is built on top of AWS CRT for JavaScript, so it shares the same minimum Node.js version.
True elasticity has long been the holy grail of cloud-native engineering. And while Kubernetes has revolutionized resource management, workloads that run sporadically (e.g., batch processors, event-driven workers, and development environments) still consume compute resources while they wait for work, driving up costs. We’re addressing this head-on in Google Kubernetes Engine (GKE) 1.37 with a native
GKE becomes more elastic: Scale to zero, save costs, and keep workloads responsive Read More »
Earlier this year, we announced native support for Google Kubernetes Engine (GKE) custom metrics. This milestone allowed you to scrap external adapters and instead collect autoscaling metrics directly from your pods. By routing these metrics straight to the Horizontal Pod Autoscaler (HPA), we cut metrics reading latency down to 5 seconds. Today, we are excited
Scale your own way, using HPA with built-in support for PromQL metrics queries in GKE Read More »
In real-time streaming, every millisecond counts. For example, at 30 frames per second (fps), developers have a strict frame budget of just 33.3 ms (and only 16.6 ms at 60 fps) to ingest camera frames, run neural segmentation, apply shaders, and composite output. Exceeding that budget by even a fraction of a millisecond leads to
A guide to speeding up your video processing with AlphaEvolve Read More »
For years, the workday looked remarkably consistent. Employees logged into devices, opened browsers and toggled across a dozen disconnected applications. Users acted as the bridge between apps, copying from one tab and pasting into another. Now, agentic workflows that are faster and allow employees to be even more productive are on the rise. Employees take
Secure, intelligent experiences across every endpoint Read More »
Ryan chats with the GM of Slack, Rob Seaman, about how their new Code Channels feature is bringing multiplayer AI to your team chats.
Multiplayer AI: Why your team (and its agents) need a group chat Read More »
Ryan chats with Anush Elangovan, VP of Software at AMD, about ROCm’s open-source unified toolchain for GPUs, how agentic AI is drastically lowering the barrier to entry for low-level hardware programming, and the rapid convergence of software and hardware development timelines.
Haters think AI agents can’t write GPU code? This’ll ROCm Read More »
The surge in AI development has created unprecedented demand for compute capacity around the globe. This can have negative implications for data processing and pipelines with Apache Spark. Whether you are managing your own Spark infrastructure or using a managed service, you can face availability constraints. However, a significant advantage of using Google’s Managed Service
A resilient software supply chain is the foundation of modern delivery, and securing your continuous integration and continuous delivery (CI/CD) pipeline is what keeps innovation moving safely. Notable supply chain attacks more than doubled in the first half of 2026 compared to the second half of 2025, according to Wiz’s recent Cloud Threat Highlights report.
Strengthen your CI/CD pipeline with new Secure Source Manager capabilities Read More »
