Virt Manager is a graphical tool for managing virtual machines. It is based on libvirt and supports KVM, QEMU, Xen, and LXC. It is written in Python and uses GTK+ for the graphical user interface. To install Virt Manager on AnduinOS, you can run: bash title="Install Virt Manager"...
If you are interested in image super resolution reconstruction, then you have likely heard of SwinIR. SwinIR is an image restoration model based on the Swin Transformer that achieves state of the art performance in tasks such as classical/lightweight/practical image super resolut...
This article provides an in-depth analysis of the significant flaws in the traditional Windows Win32 application ecosystem, particularly concerning permission management, file system isolation, and user maintenance costs. It points out that the lack of modern sandboxing mechanisms and unified standards leads to system instability and frequent security vulnerabilities. The author argues that the UWP architecture should have been the perfect solution to these problems. Through its robust store distribution, virtual file system, strict permission controls, and automatic update mechanisms, UWP achieved a dual reduction in burden for both developers and users, while also possessing cross-platform potential. However, UWP ultimately perished due to commercial failure: initial applications were of low quality and functionally incomplete, Microsoft's own product experience was subpar, the existence of multiple implementation approaches for the same functionality led to ecosystem confusion, and high development barriers limited application scenarios. These factors ultimately caused developer attrition and market shrinkage. As Microsoft abandoned UWP and shifted towards the MAUI framework, which reverts to the Win32 model, Windows has lost an opportunity for a modern application framework. This has left behind a system characterized by functional redundancy, fragmented user experience, and difficult maintenance, which is regrettable.
This article provides a detailed walkthrough of building a high-performance NFS storage server and integrating it into an ESXi environment. First, a GPT partition is created using `fdisk`, formatted with `mkfs.ext4`, and the partition UUID is obtained. Next, the `/etc/fstab` file is edited to configure persistent mount points, ensuring automatic mounting after system reboots. Subsequently, `nfs-kernel-server` is installed, `/etc/exports` is configured to expose shared paths with access restricted to specific subnets, and the firewall is opened on port 2049. For network configuration, a fiber-optic direct connection approach is adopted to isolate storage traffic and enhance performance. Multiple fiber-optic ports are bridged into an independent subnet using `bridge-utils`, `isc-dhcp-server` is deployed to provide dynamic IP allocation for this storage network, and 9000-byte jumbo frames are enabled to optimize transmission efficiency. Additionally, Cockpit and its navigator plugin are installed to provide a web-based server status monitoring interface. Finally, on the ESXi side, a dedicated storage virtual switch and VMkernel adapter are created, and an NFS storage mapping is added in vCenter. The article recommends using CrystalDiskBench for performance benchmarking to verify a transfer speed of approximately 1200 MB/s under a 10 Gbps network, ensuring the storage system meets the expected high-performance standards.
This article details the complete deployment process for a Nextcloud server, from basic configuration to advanced optimization. First, it is necessary to modify `overwrite.cli.url` in `config.php` and set up Cron mode to automate background tasks. Second, it is recommended to install practical plugins such as two-factor authentication, task management, and notes. To expand storage capacity, create a new partition, format it, and mount a large-capacity hard drive, while ensuring that the data directory migration and permission settings are correctly configured. Additionally, the article covers region settings, preview feature optimization, and mail server configuration. It focuses on installing and configuring the Redis caching system, including APCu local caching and distributed lock settings, to resolve performance warnings and improve system efficiency. To prevent data loss, write an automated backup script to regularly sync the application directory, data files, and database to independent storage. Finally, a Caddy reverse proxy configuration solution is provided for specific needs, along with a guide for setting up a GPU acceleration environment if using the Recognize app, aiming to build a high-performance, secure, and easy-to-maintain private cloud environment.
This article provides a detailed guide on setting up a Windows 11 cloud PC from scratch on a Vultr server. First, use the DISM tool to mount the `install.wim` image and inject the necessary drivers, then commit the changes and unmount the image. Next, use disk management tools to shrink the C drive and create a new E drive partition, then extract the Windows 11 system files to this partition. The core step involves using the `bcdedit` command to configure a new boot entry, setting the system boot path and recovery options to ensure that Windows 11 boots correctly after a reboot. After rebooting, connect via VNC to complete the initial setup (OOBE). During this process, be sure to select an offline account and set a strong password to avoid restrictions on Remote Desktop. Once you reach the desktop, enable the Remote Desktop service to connect via RDP. Finally, it is recommended to delete the old system partition, change the default port 3389 for remote connections to enhance security, and immediately create a system snapshot. This snapshot can serve as a template to quickly and batch-deploy independent Windows 11 cloud PCs for family or friends, enabling access from any device anytime, anywhere.
Sometimes, we need to check if the input is valid. Usually, we may do this: // Bad example: // Requires a lot of duplicate code. Bad architecture. if (string.IsNullOrWhiteSpace(InputArgument.TargetMachine)) { throw new ArgumentException($"Invalid input argument! Target Machine: '...
This tutorial only for existing Windows users which needs to install the second Windows along side it without USB disk or CD. How When you have the Windows installer, you can directly unzip the install.wim to a new partition. This process does not need to restart or enter the PE ...
This article provides a systematic introduction to the core applications and best practices of FFmpeg in video processing. It first compares the pros and cons of encoding formats such as H264, HEVC, VP9, and AV1, recommending HEVC for local storage and suggesting AV1, VP9, or H264 for web distribution based on the target audience. It also provides reference data on the impact of different bitrates, ranging from 1M to 128M, on video quality. The article elaborates on the differences between two working modes: stream copying and stream encoding. The former is efficient but does not allow parameter modification, while the latter is flexible but time-consuming. Additionally, the text includes specific command examples for common operations, such as using FFmpeg to view video metadata, perform transcoding, utilize NVIDIA GPU hardware acceleration, push RTMP live streams (including stream copying and real-time encoding), merge audio and video, burn in subtitles, adjust resolution, change speed, regulate volume, extract segments, crop regions, and reverse videos. Finally, it recommends integrating the SRS open-source project to build low-latency FLV or HLS live streaming services, enabling a localized live streaming experience similar to that of Bilibili.
Imagine I have 100 tasks to run. But my machine has only 16 core. So I expect that every core will run one task in parallel. And once a core is idle, assign a new task to it. That will be very easy for C with Task. But before starting, we gonna create a thread safe queue for savi...