Scale A Real-time Collaborative Editor

In our previous post, we have developed a basic real-time collaborative application.

In this post, we are going to scale this system.

Our application is perfectly fine for small projects. Let’s say we have added more features to it and we want to deliver this application to the end-user.

To make this application production-ready we need to make sure this is scalable and always available to our customers.

Vertical scale

It involves upgrading our instance or add an extra resource to support increasing workload.

Horizontal scale

The distributed strategy of adding copies running the same task in parallel.

Both of them have separate pros and cons and different use cases based on different scenarios. But, in enterprise applications, the horizontal scale is quite popular.

Socket scale

In our application, we are using socket to handle real-time operations and the socket internally uses a TCP port to establish a connection. The maximum number of TCP sessions a single source IP can make to a single destination IP and port is 65,535. So, we can only have a maximum of 65K of connection at a time with a single instance.

There are two ways to solve this issue,

  1. Assign IPs to an instance and have ports associated with it. This way we can have maximum connection = number of IP * 65K
  2. Running multiple instances.

The problem of assigning IPs to an instance is manual workload with limited capacity. For that reason, we’ll be moving forward with multiple instances. And this way we’ll have the benefit of scaling out more as per need.

#nodejs #socketio #programming #node

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Scale A Real-time Collaborative Editor
Ian  Robinson

Ian Robinson

1621644000

4 Real-Time Data Analytics Predictions for 2021

Data management, analytics, data science, and real-time systems will converge this year enabling new automated and self-learning solutions for real-time business operations.

The global pandemic of 2020 has upended social behaviors and business operations. Working from home is the new normal for many, and technology has accelerated and opened new lines of business. Retail and travel have been hit hard, and tech-savvy companies are reinventing e-commerce and in-store channels to survive and thrive. In biotech, pharma, and healthcare, analytics command centers have become the center of operations, much like network operation centers in transport and logistics during pre-COVID times.

While data management and analytics have been critical to strategy and growth over the last decade, COVID-19 has propelled these functions into the center of business operations. Data science and analytics have become a focal point for business leaders to make critical decisions like how to adapt business in this new order of supply and demand and forecast what lies ahead.

In the next year, I anticipate a convergence of data, analytics, integration, and DevOps to create an environment for rapid development of AI-infused applications to address business challenges and opportunities. We will see a proliferation of API-led microservices developer environments for real-time data integration, and the emergence of data hubs as a bridge between at-rest and in-motion data assets, and event-enabled analytics with deeper collaboration between data scientists, DevOps, and ModelOps developers. From this, an ML engineer persona will emerge.

#analytics #artificial intelligence technologies #big data #big data analysis tools #from our experts #machine learning #real-time decisions #real-time analytics #real-time data #real-time data analytics

Jessica Smith

Jessica Smith

1612606870

REAL TIME CHAT SOLUTIONS SERVICES FOR MOBILE APPS

Build a Real Time chat application that can integrated into your social handles. Add more life to your website or support portal with a real time chat solutions for mobile apps that shows online presence indicators, typing status, timestamp, multimedia sharing and much more. Users can also log into the live chat app using their social media logins sparing them from the need to remember usernames and passwords. For more information call us at +18444455767 or email us at hello@sisgain.com or Visit: https://sisgain.com/instant-real-time-chat-solutions-mobile-apps

#real time chat solutions for mobile apps #real time chat app development solutions #live chat software for mobile #live chat software solutions #real time chat app development #real time chat applications in java script

Siphiwe  Nair

Siphiwe Nair

1623655813

Apache Hudi: How Uber Gets Data a Ride to its Destination

Apache Hudi provides tools to ingest data into HDFS or cloud storage, and is designed to get data into the hands of users and analysts quickly.

At a busy, data-intensive enterprise such as Uber, the volumes of real-time data that need to move through its systems on a minute-by-minute basis reaches epic proportions. This calls for a data lake extraordinaire, in which data can immediately be extracted and leveraged across a range of functions, from back-end business applications to front-end mobile apps. Uber depends on up-to-the-minute bookings and alerts as part of its appeal to customers, so its reliance on real-time data streaming platforms is off-the-charts. It has turned to Apache Hudi, an emerging platform that brings stream processing to big data, providing fresh data while being an order of magnitude efficient over traditional batch processing.

I recently had the opportunity to moderate a webcast about Apache Hudi with Nishith Agarwal and Sivabalan Narayanan, both engineers with Uber. Both Agarwal and Narayanan are active members of the Hudi programming committee.

The Hudi data lake project was originally developed at Uber in 2016, open-sourced in 2017, and submitted to the Apache Incubator in January 2019. Apache Hudi data lake technology enables stream processing on top of Apache Hadoop compatible cloud stores and distributed file systems. The solution provides tools to ingest data onto HDFS or cloud storage, as well as provide an incremental approach to resource-intensive ETL, Hive, or Spark jobs. It is designed to get data into the hands of users and analysts much quicker.

#analytics #big data #big data platforms #data management #expert systems #from our experts #real-time decisions #real-time applications #real-time data

Bella Garvin

Bella Garvin

1624088381

Real Estate App Development I Real Estate Software Development USA

Orbit Edge is a top real-estate app development company that provides top-quality real estate software and app development solutions that facilitates the realtors, builder and other property brokers. Time-saving and cost-saving real estate software solutions help enterprises to sustain themselves in the real estate market.

#real estate app development company #real estate website development #real estate app development services #real estate app development #real estate software development company

How to Install and Configure Chrony

It is essential to keep the correct time on a server. This is especially true when it comes to processing financial transactions or other vital functions which need to be handled in a specific order. Using the Network Time Protocol (or NTP), computers can synchronize their internal clock times with the internet standard reference clocks. In essence, NTP is a hierarchy of servers. The higher the Stratum number of a server, the more accurate the timing is and the lower the Stratum number of a server is, the lower the accuracy and time stability. Stratus are defined by the distance from the initial reference clock.

#tutorials #atomic clock #centos #chrony #clock #drift #internal time clock #network time protocol #ntp #offset #peers #pool.ntp.org #server time #stratum #system clock #time #time drift #timekeeping #ubuntu #utc