aghahasaan Goto Github PK

aml-kubernetes

AzureML customer managed k8s compute samples

anbox-modules

Anbox kernel modules

ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

crop-image-purejs

Vanilla.js Image Crop

croppie

A Javascript Image Cropper

curl

A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET and TFTP. libcurl offers a myriad of powerful features

docker-guacamole

A self-contained guacamole docker container for x64 and ARM. Remotely connect over SSH, RDP or VNC using HTML5.

face-detection-javascript

frp

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

gke-migration-to-containers

This demo provides a basic walkthrough of migrating a stateless application from running on a VM all the way to running it on Kubernetes Engine (GKE).

gke-network-policy-demo

This guide demonstrates how to improve the security of your Kubernetes Engine by applying fine-grained restrictions to network communication. You will provision a simple HTTP server and two client pods in a Kubernetes Engine cluster, then use a Network Policy restrict connections from client pods.

gke-rbac-demo

This project covers two use cases for RBAC within a Kubernetes Engine cluster. First, assigning different permissions to user personas. Second, granting limited API access to an application running within your cluster. Since RBAC's flexibility can occasionally result in complex rules, you will also perform common steps for troubleshooting RBAC as a part of the second scenario.

gke-security-scenarios-demo

This project demonstrates a series of best practices for improving the security of containerized applications deployed to Kubernetes Engine. You will deploy multiple instances of the same container image with a variety of security settings to illustrate the use of RBAC, security contexts, and AppArmor policies.

gmaps-marker-clusterer

Fork of the marker clustering library for the Google Maps JavaScript API v3.

go-msgauth

A Go library for DKIM, DMARC and Authentication-Results

google-cloud-4-words

The Google Cloud Developer's Cheat Sheet

guacamole

Automated Apache Guacamole 1.4.0 with Mariadb and Supervisord

guacamole-client

Mirror of Apache Guacamole Client

guacamole-server

Mirror of Apache Guacamole Server

haikus-for-codespaces

iredmail

Full-featured, open source mail server solution for mainstream Linux/BSD distributions.

kubernetes

Production-Grade Container Scheduling and Management

leaflet.markercluster

Marker Clustering plugin for Leaflet

llvm-project

This is the canonical git mirror of the LLVM subversion repository. The repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

lxd

Daemon based on liblxc offering a REST API to manage containers

lxdui

LXDUI is a web UI for the native Linux container technology LXD/LXC

meshcentral

This is a full computer management web site. With MeshCentral, you can run your own web server and it to remotely manage and control computers on a local network or anywhere on the internet. Once you get the server started, will create a mesh (a group of computers) and then download and install a mesh agent on each computer you want to manage. A minute later, the new computer will show up on the web site and you can take control of it, etc. MeshCentral includes full web-based remote desktop, terminal and file management capability.

microsoft-ui-xaml

Windows UI Library: the latest Windows 10 native controls and Fluent styles for your applications

msgraph-sdk-java

Microsoft Graph SDK for Java

mslearn-python-products