Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Docker recently announced the release of Docker Desktop 4.50, marking another update for developers seeking faster, more secure workflows and expanded AI-integration capabilities.
Microsoft's Azure Virtual Desktop (AVD) now supports hybrid environments, enabling on-premises Arc-Enabled Servers to act as session hosts. This integration enables customers to run virtual desktops in their data centers while leveraging cloud management tools. The update enhances flexibility, compliance, and operational integrity across various industries.
The Kubernetes SIG Network and the Security Response Committee has announced the retirement of Ingress NGINX, one of the most widely deployed ingress controllers in the ecosystem. Best-effort maintenance will continue until March 2026, after which there will be no further releases, bug fixes, or security updates, according to an announcement made at Kubecon NA 2025.
Evalite is a TypeScript-native eval runner designed for AI applications, enabling developers to create reproducible evals with rich outputs. Featuring first-class trace capture, scoring, and a user-friendly web UI, Evalite enhances testing ergonomics and iteration speed. Open-source under MIT, it seamlessly integrates with any LLM, ensuring complete data control and fostering rapid development.
AI workloads are growing more complex in terms of compute and data, and technologies like Kubernetes and PyTorch can help build production-ready AI systems to support them. Robert Nishihara from Anyscale recently spoke at KubeCon + CloudNativeCon North America 2025 Conference about how an AI compute stack comprising Kubernetes, PyTorch, VLLM and Ray technologies can support these new AI workloads.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Docker Releases Desktop 4.50, Adds Free Debugging Tools and AI-Native Enhancements
Docker recently announced the release of Docker Desktop 4.50, marking another update for developers seeking faster, more secure workflows and expanded AI-integration capabilities.
By Craig RisiAzure Virtual Desktop Goes Fully Hybrid with Arc-Enabled Servers
Microsoft's Azure Virtual Desktop (AVD) now supports hybrid environments, enabling on-premises Arc-Enabled Servers to act as session hosts. This integration enables customers to run virtual desktops in their data centers while leveraging cloud management tools. The update enhances flexibility, compliance, and operational integrity across various industries.
By Steef-Jan WiggersKubernetes Community Retires Popular Ingress NGINX Controller
The Kubernetes SIG Network and the Security Response Committee has announced the retirement of Ingress NGINX, one of the most widely deployed ingress controllers in the ecosystem. Best-effort maintenance will continue until March 2026, after which there will be no further releases, bug fixes, or security updates, according to an announcement made at Kubecon NA 2025.
By Matt SaundersIntroducing Evalite: The TypeScript Testing Tool for AI Powered Apps
Evalite is a TypeScript-native eval runner designed for AI applications, enabling developers to create reproducible evals with rich outputs. Featuring first-class trace capture, scoring, and a user-friendly web UI, Evalite enhances testing ergonomics and iteration speed. Open-source under MIT, it seamlessly integrates with any LLM, ensuring complete data control and fostering rapid development.
By Daniel CurtisKubeCon NA 2025 - Robert Nishihara on Open Source AI Compute with Kubernetes, Ray, PyTorch, and vLLM
AI workloads are growing more complex in terms of compute and data, and technologies like Kubernetes and PyTorch can help build production-ready AI systems to support them. Robert Nishihara from Anyscale recently spoke at KubeCon + CloudNativeCon North America 2025 Conference about how an AI compute stack comprising Kubernetes, PyTorch, VLLM and Ray technologies can support these new AI workloads.
By Srini Penchikala