Load Balance multiple RTMP Servers to Horizontally Scale Streaming (Node Media Server and HAProxy)

In this video I will show case the new Node Media Server , a Node JS implementation of an RTMP server used for streaming setup. I will show how to install and spinup an RTMP server and stream to it from OBS. Then I will spin up multiple ones, then I’ll show how to relay the stream to multiple RTMP servers and finally I will use HAProxy to load balance the stream consumption to achieve high availability.

Configurations
https://github.com/hnasr/javascript_playground/tree/master/rtmp

Node Media Server
https://www.npmjs.com/package/node-media-server

• 0:00 Intro
• 2:00 Single RTMP Server
• 6:00 Multiple RTMP Servers
• 7:00 Relay Server
• 12:00 Load Balancing RTMP Servers

#developer #programming

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Hands on with Node.Js Streams | Examples & Approach

Never heard of Node.js? Node.js is an accessible asynchronous environment based on Javascript which contains several core modules helpful for performing various tasks. Node.js is famous worldwide due to its efficiency and being open-source, it brings a lot to the table. Node.js allows the developers to handle multiple requests on a single thread and thereby allowing them more breathing space.

Node.js handles data using two approaches – Buffered and Streamed. In the buffered approach, you have to write the entire data before the receiver may read it. Such an approach doesn’t support its asynchronous paradigm. When it comes to the Streamed approach, the information starts the interpreting process as soon as you enter it.

Before you read further, we would like to inform you that this article is about streams. Streams are an essential part of the Node.js environment. What it stream, and what do they do? What are the different types of streams? We have tried to cover several important questions that may help you in understanding Node.js Streams. Let’s get started.

#nodejs #streams in node.js #using streams in node js #node.js streams #node.js tutorial #data streams

Load Balance multiple RTMP Servers to Horizontally Scale Streaming (Node Media Server and HAProxy)

In this video I will show case the new Node Media Server , a Node JS implementation of an RTMP server used for streaming setup. I will show how to install and spinup an RTMP server and stream to it from OBS. Then I will spin up multiple ones, then I’ll show how to relay the stream to multiple RTMP servers and finally I will use HAProxy to load balance the stream consumption to achieve high availability.

Configurations
https://github.com/hnasr/javascript_playground/tree/master/rtmp

Node Media Server
https://www.npmjs.com/package/node-media-server

• 0:00 Intro
• 2:00 Single RTMP Server
• 6:00 Multiple RTMP Servers
• 7:00 Relay Server
• 12:00 Load Balancing RTMP Servers

#developer #programming

Sample Load balancing solution with Docker and Nginx

Most of today’s business applications use load balancing to distribute traffic among different resources and avoid overload of a single resource.

One of the obvious advantages of load balancing architecture is to increase the availability and reliability of applications, so if a certain number of clients request some number of resources to backends, Load balancer stays between them and route the traffic to the backend that fills most the routing criteria (less busy, most healthy, located in a given region … etc).

There are a lot of routing criteria, but we will focus on this article on fixed round-robin criteria — meaning each backend receives a fixed amount of traffic — which I think rarely documented :).

To simplify we will create two backends “applications” based on flask Python files. We will use NGINX as a load balancer to distribute 60% of traffic to application1 and 40% of traffic to application2.

Let’s start the coding, hereafter the complete architecture of our project:

app1/app1.py

from flask import request, Flask
import json

app1 = Flask(__name__)
@app1.route('/')
def hello_world():
return 'Salam alikom, this is App1 :) '
if __name__ == '__main__':
app1.run(debug=True, host='0.0.0.0')

app2/app2.py

from flask import request, Flask
import json

app1 = Flask(__name__)
@app1.route('/')
def hello_world():
return 'Salam alikom, this is App2 :) '
if __name__ == '__main__':
app1.run(debug=True, host='0.0.0.0')

Then we have to dockerize both applications by adding the requirements.txt file. It will contain only the flask library since we are using the python3 image.

#load-balancing #python-flask #docker-load-balancing #nginx #flask-load-balancing

Top 7 Best Fitness Streaming Platforms for VOD and Live Streaming in 2021

The Demand For Fitness Live Streaming Platform is driven by recent upheavals disrupting the fitness industry leading to dramatic changes in the way they traditionally operated. The Regulatory framework for social distancing to overcome the pandemic has come as a challenge for fitness and wellness industries to continue regular operations.

An innovative approach to evolve within the given guidelines is to leverage existing technology-reach. The solution has been the launching of fitness streaming services.

Efforts to move fitness sessions/classes to the online platform are both effective and a Win-Win situation for fitness Centre owners and users.

At the time of the launch, it used the only easily available platform for such streaming services, YouTube to launch TigerFitness videos.

However, lately, there is no dearth for such streaming platforms with the arrival of multiple video-supporting platforms – VPlayed, Contus Vplay, Zype, Muvi, and many more.

List of Best Video Streaming Platforms for Fitness Lovers

1. VPlayed – Online Fitness Streaming Solution
   Popularity of live streaming for gym streaming workouts and packages for home workout services. Hence working out at home and office using pre-recorded and live stream classes are no longer new. VPlayed customized platform for delivery of HD video streaming for multi-disciplinary fitness.

2. Contus VPlay – Launch Your Own Fitness Video Service
   Contus VPlay is listed as one of the Top streaming fitness platforms supporting video-on-demand platforms for help with digital libraries for multiple mediums to monetize for TV channels, online broadcasters, web and mobile media.

3. Zype – Best Platform to Stream Fitness Classes
   Calling itself the complete fitness streaming online infrastructure, Zype is a unique digital video distribution as well as management hub. The platform supports video streaming operations allowing devs to bring VOD online in any market with a fast turnaround.

4. Uscreen – Build a Fitness Streaming App
   Top fitness streaming online service, Uscreen specializes in providing instant access to fitness subscribers and students. It allows experts, fitness gurus, and specialists to take their workouts online. The platform gives the studio owners the technology platform to live stream to support full-fledged video-on-demand libraries that allow every individual or business to Create/Build a fitness streaming platform for their own brand.

5. Muvi – Fitness Video Streaming Software
   Monetization of fitness programs is possible for trainers and gym studios with professional video production such as Muvi. This platform for live video streaming for training supports on-demand videos including launching own brand coaching as well as training for connected TVs, mobile for custom support.

Conclusion
Live video streaming for training is an unexplored but high revenue-earning platform but will be driven purely by Quality content.

Publishers including fitness studios, personal trainers, and professionals in this spectrum of services can reap unbounded benefits with top-quality. An Online fitness platform is a perfect solution for an industry struggling to survive given the sudden upheaval.

To read full article about top fitness streaming platform providers click here.

#video streaming platforms #fitness live streaming #fitness live streaming platform #fitness streaming service #live streaming for gym #online fitness streaming

Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

• revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
• microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
• Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services