DynamoDB now supports native vector search with single-digit millisecond latency at 99%+ recall. It is designed for any scale, even trillions of vectors and requires zero infrastructure management.
Last week I had the joy of participating in Amazon’s “Bring Your Kids to Work Day” with my 7 year old son. We commuted together into the New York City office, his first real rush hour train ride, and spent the day exploring how Amazon uses AI, machine learning, and robotics to deliver packages to […]
The Kubernetes SIG Network community is thrilled to share the release of Gateway API v1.6.0 , which was released on June 30th of this year! Gateway API has become the standard for modern, role-oriented, and expressive service networking in Kubernetes. In previous releases, Gateway API established a production-grade foundation for HTTP and TLS layer 7 traffic. With version 1.6.0, Gateway API takes a major step forward by expanding standard layer 4 protocol routing and introducing cleaner API boundaries for experimental innovation. Here is a quick summary of what's new in Gateway API v1.6.0: TCPRoute and UDPRoute Graduate to Standard : Raw L4 T
As we get closer to the release date for Kubernetes v1.37, the project develops and matures, features may be deprecated, removed, or replaced with better ones for the project's overall health. This blog outlines some of the planned changes for the Kubernetes v1.37 release that the release team feels you should be aware of for the continued maintenance of your Kubernetes environment and keeping up to date with the latest changes. The information below reflects the current status of the v1.37 release and may change before the actual release date. Deprecations and removals for Kubernetes v1.37 Kubectl: kubectl run --filename/-f to be deprecated
MIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.
This article has been revised since it was first published, to correct several significant technical inaccuracies in the original text. Kubernetes has long been the default platform for distributed workloads, and writing your own controller for it is now a matter of a few hours. The common path — Golang, using kubebuilder on top of controller-runtime — gives you a project scaffold, types, and a reconciler. For typical scenarios that is more than enough. But as soon as load grows or the controller starts behaving in ways you did not expect, a whole class of edge cases shows up. Most of them trace back to the same root cause: a fuzzy mental mod
Initial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.
Kubernetes has quietly become the default platform for AI and machine learning. Whether you run notebook servers for data scientists, schedule distributed training jobs, tune hyperparameters, or orchestrate multi-step ML pipelines, those workloads increasingly land on a Kubernetes cluster. Kubeflow is one of the most popular ways to assemble that stack, and it does so the Kubernetes-native way: every capability is exposed as a Custom Resource Definition (CRD). That design is a gift to cluster operators, because it means ML workloads can be observed and managed with the same primitives as everything else in the cluster. But in practice the spe
1. Before you start: know what is changing Kubernetes Dashboard and Headlamp both show what is running in a cluster, but they work differently. When Headlamp runs on the desktop, it uses your existing kubeconfig to connect to one or more clusters and can be extended with plugins. When Headlamp runs inside a cluster, it uses a Kubernetes ServiceAccount to access the API and follow RBAC rules. Kubernetes Dashboard, in contrast, only runs in-cluster and always relies on service account tokens. Understanding these models early helps you choose the right setup and permissions. 1.1 How Kubernetes Dashboard works Dashboard is a web app that runs ins
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research .
This article is a mirror of the original announcement Today, SIG etcd is releasing etcd v3.7.0 , the latest minor release of the popular distributed key-value store and core Kubernetes component. v3.7 ships the long-requested RangeStream feature, delivers several other performance improvements, removes the last remnants of the legacy v2store, and completes a major protobuf overhaul. You can download etcd v3.7.0 here: Source code Binaries Official container images This release also includes new versions of the two core etcd dependencies, bbolt v1.5.0 and raft v3.7.0 . For instructions on installing etcd, see the install documentation . For the
Algorithms & Theory
Climate & Sustainability
Open vSwitch gave us a programmable dataplane. Open Virtual Network added a control plane. Together they power Neutron in most OpenStack clouds. This tutorial explains the architecture, compares OVS vs. OVN, and shows how to trace a packet from instance to instance in OpenStack. You’ve deployed two instances on different compute nodes. Same tenant. Same... Read more » The post OVS and OVN Explained: The Networking Stack Behind OpenStack appeared first on OpenStack Blog | Open Infrastructure Foundation .
AI has really changed the game around software development. More people are leveraging AI than ever to contribute patches to projects they use. To me, this is a good thing as more folks will contribute patches rather than fork or not fix them. The main problem is that AI has made generating code fast but there has been very little improvement in maintaining code bases. In this post, we will highlight the ways the Kubernetes community is adapting to the world of AI assisted coding. The first step of this journey was to develop an AI policy. This seems mundane and bureaucratic but there were many PRs that derailed into discussions around AI usa
Headlamp is an open-source, extensible Kubernetes SIG UI project designed to let you explore, manage, and debug cluster resources directly from a browser. Cluster API (CAPI) is a Kubernetes sub-project that brings declarative, Kubernetes-style APIs to cluster lifecycle management. It lets platform teams provision, upgrade, and manage the lifecycle of Kubernetes clusters using standard Kubernetes objects stored and reconciled in a management cluster. Managing Cluster API resources has historically required raw kubectl commands and deep familiarity with ownership hierarchies. The Headlamp Cluster API plugin brings visual clarity, faster debuggi
Volcano is a cloud native batch scheduler for Kubernetes, built for high-performance computing, AI/ML, and other batch workloads. Headlamp is an extensible Kubernetes web UI. With its plugin system, Headlamp can surface APIs and workflows beyond the built-in Kubernetes resources. The Volcano plugin brings core Volcano resources into Headlamp so you can inspect workload state, queue behavior, and gang scheduling details in one place. Kubernetes was originally designed around long-running services, where applications are expected to start and remain available over time. Batch, AI/ML, and HPC workloads often behave differently: jobs arrive dynam
Headlamp is an open-source, extensible Kubernetes SIG UI project designed to let you explore, manage, and debug cluster resources. Knative brings serverless workloads to Kubernetes, handling traffic routing, autoscaling, and revision management so teams can deploy and iterate without fighting infrastructure. But operating Knative workloads day-to-day can be difficult, there's still a lot of jumping between the kn CLI, kubectl , and the Kubernetes UI to get a full picture of what's running. We built the Headlamp Knative plugin to bridge that very gap, allowing operators to inspect, understand and act on their workloads all from a single place.
UK government partners with Google DeepMind to build a new AI-powered prototype aimed at faster housing decisions.
Climate & Sustainability
Google has announced a $1.5 billion investment for 2026 and 2027 to expand its data center campus in Jackson County, Alabama. Operating since 2019 on a repurposed former…
In our ongoing SIG Spotlight series, we shine a light on the groups that keep the Kubernetes project moving forward. This time, we catch up with SIG Storage , the group responsible for persistent data, volume management, and the interfaces that connect Kubernetes workloads to the storage systems beneath them. We spoke with Xing Yang , Co-Chair of SIG Storage and Software Engineer at VMware by Broadcom, about the SIG's history, the features shipping in recent Kubernetes releases, and where storage in Kubernetes is headed as AI workloads become the norm. Introductions Could you introduce yourself and share your role(s) within SIG Storage? My na
Results from a randomized controlled trial show the potential of Gemini’s Guided Learning feature to boost engagement and accelerate learning.
For many people, Kubernetes Dashboard was their first window into Kubernetes. It offered a simple visual way to see what was running in a cluster, inspect resources, and build confidence without relying on the command line. For years, it helped developers, students, and operators make sense of Kubernetes, and it served as an important onramp into the ecosystem. The Kubernetes Dashboard project has now been archived. We deeply respect the work the team did and the role Dashboard played in making Kubernetes more approachable for so many users. Headlamp builds on that foundation and carries it forward. It keeps the clarity of a visual interface