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Determines which Bazel targets were affected between two git commits.
Bazel rules for running multiple commands in parallel in a single bazel invocation
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
ykxVK8yL5L / pikpak-fuse
Forked from messense/aliyundrive-fusePikpak FUSE 磁盘挂载
Directly access data objects stored in etcd by kubernetes.
yihong0618 / rcode
Forked from chvolkmann/code-connectOpen a file in your locally running VSCode or Cursor instance from arbitrary terminal connections.
Open a file in your locally running Visual Studio Code instance from arbitrary terminal connections.
Terraform module for quick deployment of baremetal Anthos on Equinix Metal
Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
🐊 Gatekeeper - Policy Controller for Kubernetes
Script for generating a self-signed certificate for an IP address
Moved to https://github.com/containerd/containerd/tree/master/pkg/cri . If you wish to submit issues/PRs, please submit to https://github.com/containerd/containerd
WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).
Sample Scripts from NETDEVOPS LIVE! S02E13 - Container Networking
A Video Surveillance OS For Single-board Computers
C++ Library Manager for Windows, Linux, and MacOS
A network load-balancer implementation for Kubernetes using standard routing protocols
Easy Kubevirt images generator - Public images repository 💿
An aggregated custom API server for pizza bakers
text window manager, shell multiplexer, integrated DevOps environment
Automated ACME SSL/TLS certificates issuer for Azure Key Vault (App Service / Container Apps / App Gateway / Front Door / CDN / others)
Powerful yet simple to use screenshot software 🖥️ 📸
The new Windows Terminal and the original Windows console host, all in the same place!
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville