Search Results for "podman"

Podman Desktop is an open source graphical tool enabling you to seamlessly work with containers and Kubernetes from your local environment. Podman Desktop installs, configures, and keeps Podman up to date on your local environment. It provides a system tray, to check status and interact with your container engine without losing focus from other tasks.

This project is part of the landscape of Cloud Native Computing Foundation in the Observability and Analysis - Chaos Engineering section. Backed by the teams at platform engineering.it and devopstribe.it, which provides enterprise-grade features and certified resilience services for your Kubernetes infrastructure.

GoDoxy is a high-performance reverse proxy and container orchestrator tailored for self-hosting environments, blending automated routing with a user-friendly web interface and advanced traffic control. Written in Go, it automatically discovers services (like Docker containers) and generates routes based on configuration or container labels, letting you expose and secure apps with minimal manual routing. GoDoxy includes features like ACL control, automatic SSL certificate management with...

...Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines in the ecosystem - Docker, LXC, Podman etc. Follow the User Guide for running GPU containers with these engines. The architecture of the NVIDIA Container Toolkit allows for different container engines in the ecosystem - Docker, LXC, Podman to be supported easily. The NVIDIA Container Toolkit provides different options for enumerating GPUs and the capabilities that are supported for CUDA containers.

CLI wrapper for basic container (Docker/libpod) management tasks. This is a Python wrapper script to simplify specific tasks in a container environment. It is designed to work with your container runtime of choice (currently podman and docker). A CLI menu makes these selections possible. This project was created for a lab assignment in NSSA-244 Virtualization at the Rochester Institute of Technology.