Azion the best solution of Edge Computing in the world.

Last update: Jul 16, 2022

Related tags

Overview

Azion Edge Function docker action

Create or update an Edge Functions on Azion Edge Nodes.

The domain name is the key for decision to a create or update an Edge Function, then if the domain name is already on use by an Edge Function, the function will be updated.

API Inputs

`azion-auth`

Required Authentication method

Create your free account on Azion site https://azion.com to use this action.

For authentication you can use Basic or Token methods.

Details how to create your Token or generate a base64 for Basic method, please visit https://api.azion.com/#58ba6991-2fe6-415c-9f17-a44dc0bc8cd4. Token authorization ensure more secure method than Basic, tokens are valid up to 24 hours, generate other token if it's expired.

For Basic method use in this input “Authorization: Basic ”
- For example: “Authorization: Basic dXNlckdBabn1hiW46cGFzc3dvcmQK”
For Token method use in this input "Authorization: TOKEN[YOUR TOKEN HERE]"
- For example: "Authorization: TOKEN[455SAFafa#$sfdsf789aswas23casf3=]

`config`

Required Configuration file with Azion Edge Functions details

In the action.yaml file, you have the configuration example please fill with your own data:

name: name of your Edge Function
path: path and filename with the source code using JavaScript language.
domain: your domain, maybe a CNAME record
args: parameters for use in the edge function at runtime, the argument name and value of each argument used on the JavaScript code.
- arg1 "first argument name" : "value of first argument"
- arg2 "second argument name" : "value of second argument"
- arg..N "N argument" : "value of N argument"
path_uri: the URI path of your edge function
active: boolean that control if your Edge Function is active or not, domain values (true|false). Your function is only accessible when it is active true.

Outputs

`domain`

URI of the edge function deployed.

You could use this URI, ir necessary you can create a CNAME at your DNS. For local use and testing, you can change your /etc/hosts for your domain.

Example usage on Github Action

File available

uses: actions/[email protected]
with:
  azion-auth: "Authorization: TOKEN[455SAFafa#$sfdsf789aswas23casf3=]
  config: 'function1.yaml'

Example of configuration file

Edit the action.yaml file, containing the details of your edge functions at Azion.

Don't change the edge_functions name, and name parameters but instead just complete with desired values. The exception is for args, when you need to change the arg names and arg values.

edge_functions:
  -
    path: "example/src/messages.js"
    domain: "www.yourdomain.com"
    name: "Function Hello World Azion"
    args: 
      arg1: "value1"
      arg2: "value2"
    path_uri: "/api/messages/"
    active: "true"

More details on Azion site

Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

GraphMask This repository contains an implementation of GraphMask, the interpretability technique for graph neural networks presented in our ICLR 2021

29 Sep 2, 2022

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

python_graphs This package is for computing graph representations of Python programs for machine learning applications. It includes the following modu

258 Dec 29, 2022

Blender scripts for computing geodesic distance

GeoDoodle Geodesic distance computation for Blender meshes Table of Contents Overivew Usage Implementation Overview This addon provides an operator fo

20 Jun 8, 2022

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Note: This is an alpha (preview) version which is still under refining. nn-Meter is a novel and efficient system to accurately predict the inference l

244 Jan 6, 2023

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Framework overview This library allows to quickly implement different architectures based on Reservoir Computing (the family of approaches popularized

249 Dec 21, 2022

Releases(v0.2)

v0.2(Apr 30, 2022)

Now we can see in github actions output of multidomains
Source code(tar.gz)
Source code(zip)
v0.1(Apr 30, 2022)

Lets try to use the best CDN of the world (Azion)
Source code(tar.gz)
Source code(zip)

Azion the best solution of Edge Computing in the world.

Related tags

Overview

Azion Edge Function docker action

API Inputs

azion-auth

config

Outputs

domain

Example usage on Github Action

Example of configuration file

You might also like...

Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

Blender scripts for computing geodesic distance

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

Material related to the Principles of Cloud Computing course.

🗣️ Microsoft Edge TTS for Home Assistant, no need for app_key

Releases(v0.2)

v0.2(Apr 30, 2022)

v0.1(Apr 30, 2022)

Owner

Ağ tarayıcı.Gönderdiği paketler ile ağa bağlı olan cihazların IP adreslerini gösterir.

An abstraction layer for mathematical optimization solvers.

Deep Residual Networks with 1K Layers

Code for Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

QKeras: a quantization deep learning library for Tensorflow Keras

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)

Python PID Tuner - Based on a FOPDT model obtained using a Open Loop Process Reaction Curve

Web service for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation based on OpenFace 2.0

68 keypoint annotations for COFW test data

In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemetic Analysis

A Python package for time series augmentation

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks.

Fast Scattering Transform with CuPy/PyTorch

A PyTorch re-implementation of Neural Radiance Fields

PyTorch experiments with the Zalando fashion-mnist dataset

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

`azion-auth`

`config`

`domain`