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How did Zync AI achieve rapid development and hyper-scalability with Zivost DevOps?

Virtual meetings have become an essential part of any office because of work from home. And most of the time, employees find these meetings dull or unappealing; according to them, these virtual meetings are the most boring things. But if you have the right platform for these meetings, the scenario might change. One such platform is the Zync AI.

What is Zync AI?

Since Zinc AI is a virtual meeting solution that makes virtual meetings a fun experience for both the host and the participants, virtual meetings with Zync AI are equally engaging and participatory as real-time ones. Users can even add interactive presentations to their video conferences. Making virtual meetings an exciting event is the main motive of Zync AI. The meeting host can even have an organized structure to plan, preview, and rehearse since AI provides out-of-the-box layout templates for your online meetings and webinars.

But then, making such an interactive and innovative app is not a cakewalk. Many challenges come with any creative idea; the same was the case with Zync AI.

What were the challenges faced by Zync AI?

The challenges faced are as follows. Likewise, Zync AI faced some challenges.

Bandwidth

Any video app needs massive bandwidth, and this was a significant challenge faced by Zync AI. poor bandwidth leads to a reduced quality video. The picture may become pixelated, and it will hinder the experience.

Latency

Latency may lead to a lag in the video, which is not acceptable in a virtual meeting. Hence latency is something to be taken care of tackle. To tackle this Zync, AI needed replicated data centers in different parts of the world so that everyone gets a tremendous real-time experience.

Developers’ Productivity

As the app was in its initial phase, the team was actively building the app and was rolling out feature updates daily. The DevOps setup needed to be resilient and performance-oriented to keep up with the hyper-active Zync Development team. And Zync AI was able to find such a resilient DevOps team at Zivost Technologies.

The Zivost Technologies team joined hands with Zync AI, and the rest is history.

Our Contribution

In search of the solution to these challenges, Zync AI approached the Zivost team. The team from Zivost patiently analyzed all the challenges faced by Zync AI and turned up innovative and unbeatable solutions. The Zivost team worked on various aspects like

The Architecture

The Zivost team designed the architecture taking into consideration the bandwidth and scale. The proper bandwidth was maintained, and there was no audio and video quality interference which helped witness the clear visuals of all the participants and did not hinder the meeting experience.

Zivost not only focuses on finding the solution to the present problems; instead, it works towards providing the solution for potential problems that may come up in the future. Zivost designed the architecture to accommodate the needs of the end.

Automation

For any virtual meeting app, automation is synonymous with Peace of mind. And this Peace of mind was provided by the Zivost team. They fully automated the testing and deployment pipeline, obliterating human error from the equation. This automation helped the Zync team roll out as many as 5-10 deployments daily. At the same time, they were able to roll out a single deployment per day manually.

If we talk about the changes introduced by Zivost in infrastructure setup, there are various positive changes that we can mention here.

Infrastructure changes

Zivost introduced various infrastructure setups for Zync AI.

Setup

Kubernetes, ELK, GitHub Actions, etc., were set up to automate the workflow. The setup helped simplify the process related to deployment, upgrades, snapshots, scaling, high availability, security, and running.

In addition, three working environments with auto-deployment – Production, Staging, and QA introduced, making the infrastructure setup foolproof.

Last but not least, Zivost introduced containerization to the Zync Team. Containerization helped in the app’s safe and fast portability, resulting in increased efficiency and ease of management of the app.

Backup and Disaster Recovery

The central and crucial part of any organization is the data stored in the cloud. Loss of the data may result in a collapse of the whole system. Keeping the data safe in backup is the best option, and Zivost Technologies followed, saving Zync from any crucial data loss.

Usually, the right partner leads you to the horizon of the new world. And here it is proved!

May 9, 2022
ClassCalc adopted DevOps with Zivost as their implementation partner

Most of the students find maths a nightmare and look for excuses to skip learning. All of us have struggled with math, but at that time, no helping hands were there to make us love the subject and its methods.

What is ClassCalc?

Then a group of math lovers thought of some ideas that could make people love the subject, leading to the formation of an organization – ClassCalc, dedicated to giving the students and teachers a chance that we never had. ClassCalc took the responsibility on its shoulders to give students and teachers a pleasurable experience while teaching and learning math. ClassCalc provides a multi-subject math calculator with scientific, graphing, and matrix functionality in an easy-to-use smartphone app. Hats off to them!

But then, working towards this task was not possible without the help of an excellent solution provider. It is rightly said, “Great ideas need great execution.” The team of ClassClac approached Zivost Technologies for their assistance and help in getting it all sorted.

How Zivost Helped?

Zivost is known to provide solutions for all the technology-related concerns of the clients with utmost satisfaction and helps businesses with their innovative technical excellence.\

Zivost team developed a new app for ClassCalc to facilitate their team with the best possible solution for their processes. In addition to this, they designed architecture for new app deployment so that everything falls in place for the ClassCalc team. Since the app was to be released initially, many things were to be kept in mind so that there is no backlog. While designing the architecture of the app deployment, the expected app traffic was to be considered. Second, there may be frequent releases as it is a rapidly growing app.

Zivost helped the members of the ClassCalc team to follow and work under the agile methodology and understand the concepts of DevOps and how it increases their productivity.

Infrastructure

ClassCalc is a growing startup, and keeping this in mind, Zivost moved forward in meeting the requirements laid by them with a mission to keep the cost as low as possible.\

Even with the cost constraints, Zivost did not compromise on the quality of its services. Zivost deployed Kubernetes helping in controlling and automating the deployments and updates. It also helped them in saving money by optimizing infra resources.

IaaC (Infrastructure as a Code) was used to set up the complete infrastructure, which contributed to the infrastructure’s safety, visibility, and predictability.

In addition to this, ELK on Kubernetes is also deployed for monitoring and log analysis giving the freedom to store, search and analyze data from various sources. To facilitate continuous testing and deployment, Zivost worked on deploying GitLab CI/CD pipelines.

Another change that Zivost bought is the deployment of 3 environment setups for different apps run on a single host, optimizing the resources and costs.

Autoscaling as per traffic

Being a thoughtful and innovative solution provider, Zivost kept every aspect covered. We kept all the possibilities in mind and designed an autoscaling architecture. Since the usage of ClassCalc was expected to increase during exams, downtime can prove to be a setback for the users. Autoscaling architecture helped predict surges and automatically scaled the infrastructure, ensuring there were no downtimes during exams.

Backup and Disaster Recovery

Losing data is the worst thing for a student and a teacher as it will result in the loss of all the information they might have collected after spending hours. To save students and teachers from any such condition Zivost imposed backup and disaster recovery. They took the backup of all the data, ensuring the safety of all the information and the users’ hard work.

What do you say?

Choosing the right partner for your problems and solving them as per your requirement is always the best thing. Zivost proved to be the right partner for ClassCalc. The strategies and processes followed by Zivost helped ClassCalc overcome all the problems that may affect a learning app.

April 29, 2022
How did Keystone Strategies transform their entire Cloud & DevOps infrastructure with Zivost?
A great and innovative partner is all you need to excel in your field. The success story of Keystone strategies says it loud. With its traditional practices, the technical teams of the firm were feeling a need for change so that the processes could become fast and more secure.

Keystone Strategies approached one of the leading service providers in DevOps and IT Solutions – Zivost Technologies, and the rest is history. Zivost Technologies helped Keystone Strategies transform their entire Cloud & DevOps infrastructure. Let’s have a look at the journey of this transformation.

Infrastructural changes for meeting challenges

Some changes were made by Zivost Technologies within the process to make things better and faster with utmost security. The first thing to execute was making separate clusters to improve safety and performance. The Zivost team started by making three different clusters according to the requirement and keeping in mind the increasing availability and workload. The segregated workloads helped Keystone Strategies provide a better experience managing and interacting with the application.

We successfully migrated all the processes to Kubernetes and facilitated the migration of applications to public or private clouds. With this upgrade, Keystone Strategies can now operate in any environment without any functional loss.

Not only this, Zivost helped to deploy scalable apps to make the processes better. Some of the applications deployed by Zivost for Keystone Strategies were:

Kuberflow

Scrapy

Airflow

Dremio

These applications made it easier to

Curate, process, and streamline any data

Deploy ML workflows

Scale Data Processing and ML workflows

Scheduling and monitoring workflows have never been this easy for Keystone Strategies.

CI/CD

The next crucial step was setting up CI/CD pipelines using GitHub Actions. There is no need to deploy applications manually anymore. Being an IT solutions firm, keeping your data and processes secure and easy to manage is essential. This concern of Keystone Strategies was taken care of by Zivost as it containerized all the existing apps and created pipelines for them; hence, the firm can now deliver the projects faster with agility, efficiency, and flexibility.

Monitoring & Logging

A highly overlooked part of the DevOps ecosystem is the Monitoring and Logging System. It is a crucial part because this is responsible for providing you the insights about the application, which helps you plan the future of your business.

Using Grafana and Prometheus, Keystone monitors the ingress and egress traffic and visualizes the data flow of the deployed applications.

They rely on Alertmanager for email alerts for any errors in the process.

A good Logging solution will also help you decrease the time it takes to identify bugs in your system and meet specific compliance requirements required for some industries.

The development team at Keystone relies entirely on the logs provided by Loki and Grafana Log Visualizers. They can filter the old records or view the same in real-time, making the operation lifecycle much faster.

Security

To ensure proper processes security, Zivost implemented a Single Sign-On (SSO) set up throughout the organization using Azure AD (Active Directory), simplifying the management of user IDs and passwords for the users and the administrators of Keystone Strategies.

Not only this, Two-Factor Authentication was implemented by Zivost on all apps, which added an extra layer of security. Security is crucial because employees receive various emails. 2FA resulted in safe and secure login for emails and other application accounts. Additionally, Strict AWS (Amazon Web Services) IAM policies were imposed, making the AWS account secure against unwanted usage.

Keystone Strategies has got all the scalability issues covered as Zivost helped in processing 100+GB data daily with the support of all the deployed apps. All the deployed apps have their specific contribution to making all the organization’s processes seamless and more secure and increased scalability.

Backup and Disaster Recovery

Loss of all the data is a nightmare for any organization, and the case is critical if the organization is the one dealing in the IT or Consulting sector. To save Keystone Strategies from any such situation, Zivost took the backup of all data from storage, configuration, and services. They also demonstrated the disaster recovery process in a new environment successfully. There is no need for the organization to worry about data loss as it is all backed up.

Bonus – Cost Optimization

The architectural changes and processes implemented usually increase the cloud bills substantially. However, Zivost uses its time-tested and state-of-the-art cost optimization strategies and techniques while performing any tasks.

These strategies helped bring down the AWS cost by almost 40% of its expected cost while boosting the performance, reliability, and scalability at the same time.

Keystone strategies have sorted all the problems without much change in their processes. The Zivost Technologies proved to be the correct port of call for Keystone strategies.
April 26, 2022
What is Natural User Interface (NUI) and why your product needs it?

We are rapidly moving towards the world where machines pay attention to your orders, VR/AR screens expand your world, and glass surfaces change into electronic gadgets. Various improvements in the technology have opened doors for developing a highly interactive user interface. One such user interface is Natural User Interface (NUI). But then, what is NUI?

What is Natural User Interface?

Natural User Interface is a more convenient or natural way to interact with technology. NUI involves sensory inputs like gestures, touch, or speech; however, it goes beyond this to portray smart and intelligent computing to recognize someone’s face, intent, and even emotions.

Natural User Interface Technologies system supports a blend of real and virtual objects. Its result depends on design projection, for example, video projection, holography, or 3D sound examples.

Facets of NUI

While designing NUI, developers focus on designing an easy and direct interface; users should be able to use the interface conveniently.

As Ron George from Microsoft puts it, “Natural User Interfaces are just a way of explaining the method you interact with machines. Some machines require tools, like remote control, keyboard, or a mouse. People who specialize in designing natural user interfaces challenge themselves with designing methods of interacting with machines that require no tools other than the ones you were born with.”

Expertise of Users

While designing NUI, it is always advisable to consider the existing expertise of the prospective users. NUI being new for all, utilizing the already acquired skills of the users will help them adapt to the new concept. Developers can use a skill as simple as your speech. If you are an Avengers fan, you must remember “Jarvis” (Iron Man’s Tool), who used to work on the voice commands of Tony Stark.

Siri in iPhone is also an interface that uses common skills acquired by the user.

Gradual Learning for the User

Any new concept remains in the market and is a success if it is easy to use and perceive by the end-users. A great NUI will be the one that requires small and smooth steps to progress with the interface and advance progressively without much hassle. At the same time, it should not be boring for the experts to use the same interface; there must be a provision to skip the basic steps and move straight to the level as per their expertise.

Follow Newtons Third Law

There should be a direct relationship between the action by the user and the reaction by the NUI. The users’ actions and NUI reactions should correlate and should come accordingly. The NUI reaction must come at the same time as the user action. For example, Apple iPad is the best example of direct contact NUI. Another example of action-reaction correlation is the Google Map, where the user can Zoom in and out just by moving their fingers. As soon as the user moves its finger in or out, the map starts zooming in or out.

Keep It Simple

If users find the interface easy, then it would be a joy for them to use, but if they cannot get their hands on it, it might become a nightmare for them. So, it is crucial to design the interface to get the desired results just by using their basic skills rather than learning complex skills.

A Natural User Interface should feel as smooth as if there is no interface between you and the device.

With the facets mentioned above of NUI in consideration, there are the following typical applications of NUI.

Application of NUI

Interact Via Gesture

Gesture interaction means that users’ motion and action mean instructions to the device.

Remember Tom Cruise from Minority Report? There he used to play through the invisible screen.

Soon it will become a reality with the help of Natural User Interface. Xbox Kinect Nintendo Wii is a device that understands body and hand movements as input for performing various tasks.

Interact Via Voice

Natural Language User Interface is one of the most common methods of interaction. Whenever there is a voice command, it identifies the words, converts them to various machine codes, and then works according to the interpretation.

Alexa is a popular device that works on the principle of Voice recognition. You need to instruct, and it will follow your orders.

Directly Connect with Brain

How cool would it be that you think of something, and it is done without delay!! Brain-machine Natural User Interface allows you to instruct devices using your thoughts. Our thoughts are in the form of waves; a powerful user interface can read those waves and use them as the input to generate the desired output. Various firms are exploring this; one of them is the E.P.O.C. neuroheadset by Tan Le.

On the Whole

NUI is an advanced version of the user interface where users cannot use their energy to get their things done. It will make life easier. The Natural User Interface has found its place in various places like offices or the health sector. It is undoubtedly the big thing for those who love to explore technology.

March 11, 2022
Internet of things (IoT) in Healthcare – Benefits, Examples & Challenges

With new viruses coming into existence, we are approaching a world where basic medical facilities might become inaccessible to the masses. Though it is impossible to eradicate them, with the help of technology, ultimately, we can make health care efficient and accessible to the masses. IoT in Healthcare is one such technology that is helping health care providers to provide pocket-friendly and effective services.

Diagnostics is one major part of medical facilities and one of the significant contributors to the enormous medical bills. But with technology like IoT in health care, we can get numerous benefits like improved quality treatment with enhanced accuracy.

It is worth mentioning the benefits and some of the examples of IoT healthcare. But first of all, let’s discuss what IoT is?

What is IoT?

IoT represents the Internet of things. IoT can be anything that uses the Internet to transfer information with other devices. The Internet of Things (IoT) refers to inter-related and internet-associated items that can collect information over an organization without human interference.

A ‘thing’ in IoT can be anything as small as a pencil or as big as an airplane. It can be any article equipped with sensors that can collect and share information over a network.

Initially, IoT was a tiny thing, but now it has grown bigger. Cisco estimates that the number will grow to 3.6 by 2023 from 2.4 internet-connected devices per person in 2018.

Can IoT be used in Healthcare?

Healthcare IoT advancements can help ease numerous healthcare field challenges. Before IoT, the interaction between a patient and a doctor is possible through visits and telecommunications. It was not possible to monitor a patient’s health continuously.

However, IoT-enabled devices help in making remote monitoring possible for healthcare persons. IoT empowers doctors to provide better services unleashing the prospectives to keep patients healthy and safe.

How can we use IoT in Healthcare?

IoT healthcare applications are worth discussing when we are talking about healthcare IoT. Some of the applications are

For doctors:

Doctors can use IoT-enabled devices to keep track of a patient’s health and keep track of patients’ activities to check if they are adhering to the prescribed treatment. They can even check if the patient needs any change in the treatment plan. IoT helps doctors to be more watchful. Doctors can use data collected from IoT to decide the best possible treatment for their patients and get the desired results.

For Patients:

Gadgets such as wearables like fitness bands and other remotely connected gadgets like B.P. and pulse checking cuffs, glucometer, and so forth offer access to patients for special attention if needed. Patients can tune these gadgets to remind them about carbohydrate levels, exercises, B.P. fluctuations, and more.

IoT has transformed people, particularly older patients, with constant health condition tracking. It affects individuals living alone and their families. On any changes in the ordinary conditions of an individual, health care IoT devices convey messages to relatives and concerned physicians.

For Hospitals:

Aside from checking patients’ wellbeing, there are numerous regions where IoT devices are essential in hospitals. IoT devices with sensors follow continuously locating equipment like wheelchairs, nebulizers, oxygen cylinders, and other items.

Infection spreading is a crucial issue for patients in hospitals. IoT-empowered cleanliness checking gadgets help in keeping patients from contracting the infection.

Examples

Diabetes control

Diabetes control with automated insulin delivery system. Health care IoT devices keep a check of the blood sugar level of the patients and deliver the correct composition of Insulin to the patients.

Senior Care and Independence

IoT can likewise empower older adults to keep up with their independence with remote checking. There are use cases for assisting with incontinence, asking for help in a crisis, and fall recognition.

Automated Surgeries

Utilizing IoT, specialists can perform complex surgeries with mechanical medical procedures. These surgeries will generally have minor cuts, less pain, and quicker patient healing time.

Tracking with IoT

IoT makes it easier to track inventory, staff, and the number of patients. Using IoT within any medical surroundings is known as “indoor G.P.S..” There are various devices and applications available for tracking in medical surroundings.

Wearables

Several wearables are available for keeping track of the patient’s health for any chronic disease. They help record readings, observe patterns, and send alerts in any emergency.

Benefits

Lesser cost

IoT-enabled monitoring of patients results in less cost than the traditional system as it helps cut down on the number of visits by the patient.

Faster Diagnosis

With the help of real-time data and continuous patient monitoring, it becomes easier to diagnose the disease at an early stage.

Better treatment

Information collected with the help of IoT-enabled devices helps the doctors to reach a decision and decide the best possible treatment method.

Reduced Errors

The information generated by IoT devices helps in smooth healthcare services with lesser errors and better treatment.

Challenges

Reliable connectivity

Network failure in devices that real-time record data is not acceptable. Maintaining connectivity is one of the biggest challenges for health care IoT devices.

Cyber Security

It is well-known that being connected to the Internet is always at risk of hacking. Health care IoT needs to be secured with ample layers of security as it is crucial and sensitive; also, it can be life-threatening.

Platform

Healthcare persons should be able to use the devices properly and conveniently.

It requires a versatile, adaptable, and easy-to-use IoT platform that can adjust to clear use cases, ideally with a solid team to help with arrangement plans and ensure a smooth reconciliation.

Future

While numerous businesses are entering the field of advancements and embracing the IoT, numerous business IoT applications further develop activities or develop an upper hand. IoT in medical services is exciting due to its particular potential to work on the wellbeing, security, and personal satisfaction of individuals all over the place.

March 3, 2022
How to build an app like Hotstar, Netflix, Prime Video, JioTv, MX Player?
There were days when we watched whatever was shown on the TV. But now we have the liberty to watch whatever genre we want, all thanks to different OTT apps like Netflix, Hotstar, Prime Video. According to a study, the global streaming service providers may reach $125 billion by 2025. If this study is something to go by, this is the right time to build an app like Netflix, Hotstar, and other OTT platforms.

With the evolution of smartphones, these platforms have also evolved. Now, viewers can watch their favourite content anytime and anywhere. The success of these platforms has been attracting many business owners to build an app like Netflix, Hotstar, Prime Video. What are these OTT platforms?

What is an OTT Platform?

In the last couple of years, OTT platforms have gained out-of-the-box popularity. OTT has turned the world of streaming upside down. But what is this OTT thing?

OTT stands for “over the top.” An OTT platform is a streaming platform that streams the content via the internet over the top of other services. You can watch the content streamed on your smartphone, tablet, or smart TV. These apps allow you to watch whatever you want at any time. The user has a myriad of choices available on these platforms – it could be anything: movies, web series, yoga sessions, e-learning. The USP of these platforms gives users greater control over the content that the younger generation loves and wants.

A lot of firms are entering into this field of online streaming. Since these platforms are new, there is an excellent scope for a promising app to make it to the top performer’s list. Now, how do these apps make money?

Business Model of an OTT Platform

These apps give various membership choices which take care of the different content requests of the viewers. Based on user interest, apps like Netflix, MX Player, and so forth have various sorts of membership choices like:

Free Video Streaming:

Almost all the apps have a process for giving new viewers or first-time users and offer to watch their favorite content for free. This free service is provided for a particular time frame, after which the viewer would have to pay the subscription fee; this empowers the apps to develop a database of prospects for conversion.

Paid Video Streaming:

The viewers need to pick a membership plan based on the substance they need to see. After paying the membership fee, the plan is added, and they can keep watching the content till the subscription remains valid.

Profit Earning Apps for Video Streaming:

Some content on the app may have copyright claims. After paying the said fees, a viewer can watch that content, which is a proper procedure for app benefits.

Let us explore two essential things – how to build an OTT app and the cost of building an OTT app like Netflix and Hotstar.

How to Build a Similar App?

Building a popular & polished app is a craft. You will need to choose the perfect tech stack and hire the right team to execute this carefully.

Recommended Tech Stack:

App Frontend:

Swift for iOS App (iPhone)

Kotlin/Java for Android App

OR

React Native/Flutter for a hybrid app

Others:

Firebase Analytics for Real-Time analytics

Firebase Push Notifications

AWS Elemental MediaConvert for streaming conversion

Web Frontend (Admin):

ReactJS

Backend:

NodeJS for backend development

Postgresql and MongoDB for database

AWS for Cloud Instances

CDN services:

Amazon CloudFront OR Cloudflare

Team Requirement:

React/Native Developers (2)

Backend Developers (2)

Project Manager (1)

Business Analyst (1)

QA Engineer (1)

UI/UX Designer (2)

OR

You can hire an experienced app development company like us to develop the app with skilled and experienced developers. This way, you can focus on other important things like other business aspects of the app while the professional team is developing your app.

How Much You Need to Spend

The cost to build an app like Netflix, Hotstar, Prime Video will take around $35,000.

Not only this, but there are also various other factors on which the costing of your app depends, like the platform used for the application, intricacy, required resources, and other factors.

To get an idea of the estimated cost, you can ask for the estimated number of hours required to develop the app. Then multiply the number of hours with the per-hour charges to get a rough idea. Also, consider that the engineer’s expertise will play a critical part in deciding the cost for each hour.

Time Required to Develop an App like Netflix, Hotstar, Prime Video

Developing an app like Netflix, Hotstar, Prime Video, Jio TV, MX Player with a team virtuosos would take around 16 weeks, and if you want your app to be equipped with all the latest features, it will take approx. 24 weeks.
February 16, 2022
Machine Learning Versus Artificial Intelligence
Various technological service providers often list Artificial Intelligence and Machine Learning under a single category of AI/ML. Combining these two technologies has received critical buzz in the business world, but AI and ML are different. Even though both AI and ML work on statistics and mathematics, they are still different. It is not wrong to say Machine Learning is a subset of Artificial Intelligence.

Let us elaborate on the two terms to understand their role.

What is Artificial Intelligence?

Artificial Intelligence consists of two parts “Artificial” and “Intelligence,” meaning “a human-made thinking power.” Artificial intelligence enables a computer system to mimic human intelligence.

The Artificial intelligence framework doesn’t need to be pre-programmed. Instead, it utilizes such calculations, which can execute with their knowledge. Artificial intelligence is being used in various places, for example, Siri, Google’s AlphaGo, and so forth.

Depending upon capabilities, AI can be classified into 3 major parts:

Weak AI

General AI

Strong AI

We are working with weak AI and general AI, but the future of AI is strong AI which is supposed to be more intelligent than humans.

The AI software market is growing fast and, as per a report by Grand View Research, is predicted to reach $997.8 billion by 2028. We can look at the applications of AI in what areas we can use AI.

Applications Of Artificial Intelligence

With various tech giants exploring the field of AI, the following are the applications of artificial intelligence.

Natural language processing

Analyzing text, voice commands, and other forms of communication data to make decisions or communicate with users is a commonly used form of AI.

Computer vision

Analyzing images, identifying people, alarming potential dangers, and finding the meaning of the images is another type of AI usage. Computer vision is progressively being utilized by law authorization to enhance criminal examinations with the help of AI.

Accessibility tools

Most of the present days’ innovations are mainly concerned with improving accessibility and easing the daily routines, for example, autonomous vehicles, virtual home assistance, and much more work on AI.

What is Machine Learning?

Machine Learning focuses on extracting information from data. Machine learning is a subset of artificial intelligence that enables machines to make predictions based on previous data or experiences without any explicit programming.

Machine Learning uses a large amount of data to generate accurate results or make predictions using the data. It uses algorithms that learn on their own using previous data.

The area of processing is limited for ML. It works for a specific thing like if the model is programmed to detect cars, it will only see cars and nothing else, not even scooters or any other vehicle. Machine learning is being utilized in different places, for example, for online recommender framework, Email spam detection, etc.

As per 360 research reports, Machine Learning has reached a value of $1.41 billion in 2020 and is expected to reach $8.81 billion by 2025. Let us understand the areas where machine learning is proving its expertise.

Applications Of Machine Learning

Deep Learning

Neural networks cause the machine to function similarly to the human brain, making it possible to copy human behavior for the given tasks closely. Chatbots and virtual assistance are some examples of deep learning.

MLOps and Automation

Machine learning is used to automate back-office tasks that do not require specialized persons to perform the tasks. This process helps automate various functions like security monitoring, network audits, and so forth.

Smart data analytics

Data mining and data analytics are the most commonly used applications of ML. When ML models are prepared to search over enormous amounts of data, they would not just travel through information quicker than people; they can also provide deeper insights and usually keep away from user mistake issues.

Machine Learning Versus Artificial Intelligence

Artificial intelligence has an extensive scope, whereas Machine Learning has a restricted range. In AI, intelligent frameworks are made to perform tasks like a human. In ML, we encourage machines with information to perform a specific task and give a precise outcome. Artificial intelligence makes an intelligent framework that can perform different complex tasks. Machine Learning makes machines that can perform only a particular job for which they are prepared. The artificial intelligence framework is mainly concerned with increasing the chances of success, whereas Machine Learning is concerned about precision. The primary uses of AI are Siri, client service utilizing chatbots, expert systems, internet game playing, intelligent humanoid robots, etc. The immediate benefits of ML are the online recommender framework, Google search calculations, Facebook auto friend tagging ideas, and so on.

Finally

The two fields, Artificial Intelligence and Machine Learning work towards making machines intelligent. These terms are often used synonymously, but they are not the same. They work on different outlines.
February 15, 2022
How to invest in the metaverse?

The latest buzzword in the investing world is ‘Metaverse‘. Metaverse became the talk of the town after Facebook CEO Mark Zuckerberg announced the change of name from Facebook to Meta back in October last year. He referred to the big project he intends to build through the name change – the Metaverse. Facebook and various other market giants like Nike, Disneyland, and decentralized autonomous organizations (DAOs) like the Decentraland Foundation are looking at it as an opportunity for the future. According to experts, Metaverse has approximately a $1 trillion revenue opportunity, which means investors have an opportunity here. This article will guide you on how to invest in the Metaverse?

Various real-estate worth millions of dollars have made Metaverse the next big thing. Metaverse is not limited to gaming; it allows people to interact virtually and experience numerous activities in real-time. Before that, let’s explore what Metaverse is?

What is Metaverse?

The word Metaverse was introduced by the novelist Neil Stephenson in his third novel, ‘Snow Crash’ in 1992. In this book, he talked about a fully endurable digital world. However, Zuckerberg’s announcement proved there are efforts towards making the Metaverse a reality.

Metaverse is an online virtual world, a blockchain-based virtual universe where a person can perform any task. A virtual world that mirrors real life but is unrestricted by the laws. Metaverse comprises multiple elements of technology, including VR and AR, And a video where users live within a digital universe. People will be able to meet, socialize and play games together in the digital universe of Metaverse.

When Will The Metaverse Arrive?

The metaverse platform will not arrive all at once; instead, it may take 5 to 10 years to arrive ultimately. However, the premise of the Metaverse is already here and is continuously advancing. Instead of talking about the arrival of the Metaverse, we may expect its evolution from the current stage to the Future scene.

Many video games work on the principle of Metaverse, but nowadays, we can witness the expansion in other areas too. For instance, Nvidia (NVDA) made Omniverse, a shared virtual universe with virtual renditions of real-life industries and structures utilized for design collaboration. Microsoft (MSFT) plans to carry out Mesh for Microsoft Teams, a mix of its blended reality Mesh stage and Teams distant coordinated software. The organization refers to this as “a door to the metaverse.”

How can you invest in the Metaverse?

Though Metaverse is still in its early stages, its value still has to be evaluated. With Metaverse being such a significant thing, many wonder how to invest in the Metaverse?

There are numerous direct and indirect ways to invest in Metaverse. For investing directly – you can buy a Metaverse token or in-game NFTs, or you can even purchase virtual land in the Metaverse. If thinking about investing indirectly, you can invest in various metaverse-associated firms’ stocks. You can even invest in the Metaverse Index.

Let’s explore all the options one-by-one:

Metaverse Cryptocurrency

Investing in Metaverse crypto is one of the most straightforward ways to invest in Metaverse. Metaverse Crypto or tokens power the Metaverse projects on blockchain networks. These tokens are divisible and can be mutually exchanged.

You can purchase digital assets like virtual land for an outfit for avatars using these tokens. You can further exchange these tokens for other crypto or government-issued types of money. Some metaverse cryptocurrencies allowed owners to decide where to invest the new feature released first.

You can invest in the cryptocurrencies that are working on building Metaverse. When you purchase cryptocurrencies, like Harmony, Kadena, Fantom related to Metaverse; you benefit from the increase in the price of tokens as the Metaverse becomes popular.

Metaverse Real Estate

Another way of investing in the Metaverse is investing in digital real estate. Before proceeding further, let us quickly discuss what is digital real estate?

Real estate corresponds to buying or selling property or land. Whereas in the case of digital real estate, you can buy a domain name, a website, or a blog that you find online in internet property. A customer can even purchase land or an asset in the Metaverse. Buying or selling in digital real estate is as simple as buying or selling in the actual world. The only difference between real-world real-estate and metaverse real-estate is that in digital real-estate, you will not touch the piece of land or touch any asset you have purchased.

How to Buy Land in Metaverse Real-Estate?

Various platforms like The Sandbox, Decntraland, Axie Infinity, OpenSea, are already selling Digital real estate in NFT or digital tokens on blockchain networks. When you buy a piece of metaverse land, the blockchain network controlling the Metaverse confirms the deal and moves the proprietorship of the land. Once the land is purchased, the owner can build anything on the metaverse land, or you can even host virtual parties on the land, or it is also possible to rent the land out.

Metaverse Stocks

Another answer to the question – how to invest in the Metaverse – is investing in metaverse stocks. If you plan to invest indirectly in Metaverse, you may consider investing in Metaverse stocks. You can invest in metaverse stock by investing in the companies associated with Metaverse. For instance, you can invest in Meta’s (formerly known as Facebook) stocks. You can even invest in the companies that build metaverse software or manufacture hardware needed for the Metaverse. Some of the companies in which you can invest are Nvidia (NVDA), Microsoft (MSFT), Roblox (RBLX), and others.

When you invest in these companies, you will be entitled to the profit that the company is earning and a share of the increase in the price of the stocks you own.

Metaverse Index

Metaverse Index notes down the trends in gaming, entertainment, and business shifting to the Metaverse, just like the stock market index, which captures the movements of various business giants. The ERC20 token represents this index.

You can only purchase metaverse Index with other cryptocurrencies on decentralized exchanges. If you plan to buy Metaverse Index, you need to purchase Ethereum (ETH), and then you can use this ETH to buy Metaverse Index. In addition to that, you will need a self-custody wallet for buying the Metaverse Index.

The Future of The Metaverse

After exploring how to invest in the Metaverse, the next thing to consider is what lies in the future of the Metaverse? Why so many companies and other firms are investing in the Metaverse?

Facebook is probably the most intense voice for the Metaverse. Mark Zuckerberg has referenced his arrangements to utilize Metaverse to help remote work and improve financial opportunities for individuals in developing nations. Other huge tech organizations likewise focus on making a metaverse, including Microsoft, Apple, and Google.

With so many tech giants investing in Metaverse, it is undoubtedly one of the most promising big things for the future. Technologists foresee the Metaverse will develop into a completely working economy within some years. Some may have doubts about investing in Metaverse, but it is better to recall that the internet was also thought to be absurd. Nowadays, email and social networking have become an integral part of our daily lives. The elevating curve of the Metaverse is not going to stop somewhere soon!

January 31, 2022
How do Agile and DevOps Interrelate?

Agile used to be the main point when we talked about software development, but now DevOps has entered the territory to claim its share and expertise. Now, the question is, how do agile and DevOps interrelate?

There is a misconception that the two, i.e., Agile and DevOps, can’t go hand-in-hand, but this is not true. Instead, both of these approaches work towards making software successful in the market. The vision of the two may be different, but the mission is the same. If the two work together, there will be no downtime or discrepancies in the software.

To dig into the crucial question – How do agile and DevOps interrelate? Let’s start with understanding what these two terms mean separately.

What is Agile?

Agile is an iterative approach to software development and project management. This approach helps teams to deliver value to their customers.

Agile is about delivering the work in small sprints. These small sprints may take a week or two to complete. The Agile philosophy focuses on the gradual deployment of each iteration and incorporating them for final testing.

It continuously meets the customers’ needs by aligning the development process with them. Delivering small results faster is the motive rather than releasing one extensive interaction in one go. Agile is oriented towards the customer and focuses on optimizing communications between developers and customers. Agile makes developing complex projects more manageable.

What is DevOps?

DevOps combine practices and tools that help in increasing the organization’s delivery of applications and services at a fast pace. It involves developing and improving products at high speed. It results in customer satisfaction making your business successful in the market.

The development and operations teams are merged into one team where engineers work across the entire SDLC. In some DevOps models, quality and security groups may turn out to be firmly incorporated with development and operations and all through the application lifecycle.

The motive is to keep delivering features, fixes, or updates (from the development team) while keeping the business (the operations team) in line with its objectives.

What is missing in Agile that makes way for DevOps?

When the software is developed with the help of agile, the software is continuously tested using customer feedback. First, there is software development, then comes testing, and lastly, deployment, and then the agile ends there.

Interaction with the operations team remains non-existent in the agile development process; this is where DevOps comes into existence.

How do Agile and DevOps interrelate?

If we talk about the procedures or the approaches followed by both of them, Agile and DevOps are very different from each other. However, they are still interrelated. Broadly both of them are approaches to software development. When the two work by each other, the result will be recurrent. Agile establishes the framework for DevOps and empowers groups to act faster.

Though we can not call them the same terms, they work towards the same goal – a bug-free and working software that ensures customer satisfaction.

Agile involves associating people with processes and resources while holding on to ideas expressed in the Agile manifesto. DevOps focuses on ensuring that innovation is immediately passed on to the business. Also, keeping a check on its functioning without any issues. Additionally, client collaboration holds command over the arrangement cycle. In this way, both Agile and DevOps approaches interrelate to settle the framework.

Cycles of the new expansions of product use prerequisites and practices laid by DevOps, leading to a perfect product in front of customers. DevOps traces the outline that shows Agile to develop the required software. In simple terms, outlining is done by DevOps, which is then developed, tested, and deployed by Agile groups.

When planning software, if Agile and DevOps work together, the result would be a shorter cycle with transparency and resource flexibility due to the internal and external feedback. The frequency of testing will increase, making the software more secure. The collaboration of Agile and DevOps results in IT modernization and upskilling.

To Sum Up

The two approaches are different in many ways. The two came into existence due to a change in software development patterns. Both methods work towards developing software quickly and without the downtime and user dissatisfaction.

However, lack of knowledge leaves businesses wondering how agile and DevOps interrelate? And the answer to this is that both go in line with each other, and their interrelation leads to satisfied customers and high business growth.

January 19, 2022
How to build a dating app like Tinder, Bumble, and OkCupid?
The dating culture is continuously expanding, and similarly, the dating app market is also growing at the same pace. Various dating app like Tinder are present in the market, but there is always a scope for new and better apps. (Part of the reason why we created Pleb)

In this fast-paced life, the olden day idea of finding and meeting your would-be partner has taken a back seat. Today, people prefer to meet their potential partners online on video chats before meeting them for the first time. Unlike traditional practices, now people follow this “time saving” trend of finding the right partner online. That is why experts expect the global dating market to surpass $8.4 million by 2024.

Looking at the success of these apps, this is the right time to invest in developing a dating app. Through this blog, we will help you figure out how to build a dating app like Tinder, Bumble, and OkCupid and the cost to build a dating app like Tinder.

What is a Dating App?

A dating app is a mobile application that lets you connect with other people having similar interests. You can connect to people you haven’t ever met and check the possibility of finding your perfect match. It shows you people based on filters like location or interests. Just a swipe is enough to like or dislike a person’s profile. And if both swipe right, it becomes a match, and you both will be able to connect or chat.

In one line, we can say: ‘dating apps like tinder, OkCupid, and Bumble are the means to pursue romantic relations for today’s mobile-oriented generation’.

Business Model of Dating Apps

Some time back, Tinder revealed its earnings for 2019. Tinder has made $1.2 billion on swipes and matches. There are numerous ways dating apps make money, like paid plans or subscriptions, affiliate marketing, advertisements, and in-app purchases. These ways play a crucial role in monetizing.

Paid plans or subscriptions

It is one of the effective revenue-generating models in dating app monetization. These plans or subscriptions can be monthly, quarterly, or yearly. These upgrades allow users to get features like unlimited swipes, access to premium profiles, and check who likes them before even liking them back.

Affiliate marketing

Dating apps have begun permitting advertisers to use the app’s popularity. The advertisers get the opportunity to associate with crowds to get a great deal of footing. When the user pays the subscription fees, dating apps give them extra highlights of dining, outing, and gifting choices as a part of “Associate Network”.

In-App Adevrtisements

Brands know the importance of advertising on dating apps, and it is well-known that advertising on a popular app will be a sure-shot way of reaching a large audience. Most dating apps permit utilization banners, local promotions, video advertisements.

To take an example, Tinder tracks its user’s behaviour based on location, likes, and dislikes to show them appropriate advertisements. These in-app ads prove to be beneficial in increasing app engagement.

In-app Purchases

Like other apps or games, dating apps also have the option of generating revenues from in-app purchases. However, it will come once the app becomes famous, but it can prove quite beneficial. For instance, popular dating apps like Tinder offer their users some extra features that can help them match quickly at an additional cost.

Some dating apps have a virtual coin system. Users have to purchase coins, and then they can utilize coins to access a service. For example, some apps may charge for using the video calling feature.

How to develop a similar app like Tinder, Bumble, and OkCupid?

Building a popular & polished app is a craft; you will need to choose the perfect tech stack and hire the right team to execute this carefully.

Recommended Tech Stack:

App Frontend:

Swift for iOS App (iPhone)

Kotlin/Java for Android App

OR

React Native/Flutter for a hybrid app

Others:

MQTT for Real-Time engine and chat

Firebase Analytics for Real-Time analytics

Firebase Push Notifications

Web Frontend (Admin):

ReactJS

MQTT for real-time

Backend:

NodeJS for backend development

Postgresql and MongoDB for database

AWS for Cloud Instances

Redis to assist MQTT real-time

CDN services:

Amazon CloudFront OR Cloudflare fast image delivery

Team Requirement:

React/Native Developers (2)

Backend Developers (2)

Project Manager (1)

Business Analyst (1)

QA Engineer (1)

UI/UX Designer (2)

OR

You can hire an experienced app development company to develop this app with skilled and experienced developers. It will take off a significant load from your shoulders and focus on the other business aspects of the app while the professional team is developing your app.

How Much You Need to Spend

The cost to build a dating app like Tinder, Bumble, and OkCupid will take around $35,000.

Not only this, there are some variables on which the cost of your app depends, like the platform used for the application, intricacy, required resources, and other factors. To get an idea of the estimated cost, you can ask for the estimated number of hours needed to develop the app and then multiply the number of hours with the per-hour charges to get a rough idea. Also, consider that the engineer’s expertise will play a critical part in deciding the cost for each hour.

Time Required to Develop an App like Tinder, Bumble, and OkCupid

Developing an app like Tinder, Bumble, and OkCupid with a team virtuosos would take around 8 weeks, and if you want your app to be equipped with all the latest features, it will take approx 10 weeks.

Are you looking to develop an app like Tinder? Drop us a message.
January 12, 2022