Need dynamic configuration for Swift services running on Kubernetes? Swift Configuration supports hot reloading, watching specific values, and more. Learn more on the CNCF blog:

Official Helm charts for the Boundary controller and worker are now available, bringing Kubernetes-native deployment to both self-managed and HCP Boundary environments. Read more ➡️

Encryption is only as strong as its keys. Explore the public beta of Vault Kubernetes key management for centralized encryption at rest. Learn more ➡️

In Wolters Kluwer North America CTO's own words, “We use Azure Kubernetes Service because it enables more rapid innovation for us, as well as, scale for regulated workloads. It allows our developers to develop software in an autonomous way.” Watch now.

We’re hiring a Senior Security Engineer 🔐 Help secure the products, infrastructure, and smart contracts powering AWS. Kubernetes. Web3. Real users. Real assets. Real impact. If you’re passionate about defending systems against modern threats, including the next wave of AI-powered attacks, we want to hear from you. APAC-based candidates only. Apply👇

OpenShell v0.0.37 🧩 pluggable compute drivers: Docker, Podman, Kubernetes, MicroVM 🔒 OIDC + RBAC gateway auth ☸️ Helm chart + Kubernetes user namespaces 📦 Debian, RPM, and Homebrew packages breaking: recreate the gateway before upgrading.

New on the PyTorch Foundation blog: @AMD and @Meta contributors share how PyTorch Monarch was brought to AMD Instinct GPUs with ROCm to support fault tolerant distributed training at scale. The post walks through the ROCm port of Monarch’s GPU runtime and distributed communication stack, then shows how Monarch, TorchFT, and TorchTitan enable healthy replicas to continue training while failed nodes recover and rejoin without a full checkpoint restart. Validation includes Llama 3 8B training on a 128 GPU AMD Instinct MI300 SLURM cluster and a 256 GPU AMD Instinct MI355 Kubernetes cluster. Read the full technical deep dive: