Artificial Intelligence and Machine Learning: A Comparison

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Artificial intelligence and Machine Learning is an innovation to ease the human life. Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Even more, the community think that artificial intelligence and machine learning are the same thing. But the fact is that, Machine learning is a subset of Artificial Intelligence.

What is Artificial Intelligence?

The term Artificial Intelligence is a combination of two words- ’Artificial’ and ‘Intelligence’. Where as, Artificial means man made and intelligence means the ability to think or understand. Artificial intelligence is not a system. AI is implemented in the system. Artificial Intelligence is a science fiction. It is a part of our daily life. By using AI, systems will be able to perform a task that usually we require to perform effectively. For eg., translation between languages, decision making, speech recognition, image processing.

AI can be a study of how to train the computers so that it can do things that at present human can do better. Whenever a machine completes tasks based on a set of predefined rules that solve problems (algorithms), such an “intelligent” behavior is called artificial intelligence. AI means to actually replicate a human brain. This replication is similar to the way a human brain thinks, works and functions. One of the example of AI is Sophia. Sophia is the most advanced AI model present today.

What is Machine Learning?

Machine Learning is a subset of Artificial Intelligence. In short it is a technique for realizing AI. It explores the development of algorithms that learn from given data and also teach themselves to adapt the current new situation and perform specific tasks. In machine learning, machines can learn by itself without being explicitly programmed. Training in machine learning includes giving a lot of information to the algorithm and also allowing it to learn more about processed information. It also involves making of self learning algorithms.

Key Differences between Artificial Intelligence and Machine Learning-

1. Systems including AI, performs a different tasks depending on algorithms provided. Machine Learning is a subset of AI and its concept allows machines to obtain not only data sets but also to learn themselves to perform a task.
2. Artificial intelligence allows computers to behave like humans. While, machine Learning is the finding rules for optimal behavior and also adapting changes in the world.
3. The goal of Artificial Intelligence is to solve a complex problem. And the goal of Machine learning is to learn from data on certain task. This increases the performance of machine about the task.
4. AI is related to making intelligent systems (that can plan, learn, act and can also to recognize). These systems includes machine intelligence, intelligent communities and also the artificial awareness. ML is machine controlled feature learning. It mechanically discover the representations required for classification from data, real world knowledge as pictures, video and also the device knowledge.

Comparison- Artificial Intelligence vs Machine Learning

Artificial intelligence	Machine Learning
1. AI is used to build a system that works like a human.	1. ML involves creation of self learning algorithms.
2. AI works as a computer program that does smart work.	2. ML follows a concept that machine takes data and also learn from the data.
3. The aim is to increase chances of success and not accuracy.	3. The aim is to increase accuracy, but it does not care about success.
4. AI is decision making.	4. ML is to learn from data of a specific task to maximize the performance of machine in that task.
5. AI can be used to find the best answer.	5. ML can be used to solve a question, whether the answer will be best or not.
6. AI leads to intelligence	6. ML leads to data.
7. AI is a higher cognitive process.	7. ML allows the system to be told new things from knowledge.

What can machine learning do?

ML allows computers to look at text and determine whether the content is positive or negative. They can figure out if a song is more likely to make people sad than happy. Some of these machines can make their own compositions with themes. This will be based on a piece they’ve listened to.

Another major, application of machine learning is in communication with people. The field of AI called natural language processing heavily uses machine learning. This will someday allow companies to offer automated customer service. These services are as useful as human customer support.

Final Words-

In this AI world, we are going to develop a human like AI. We are moving towards the goal with a speed. In recent years, we can see more changes in AI. ML is a subset of AI. Also, these technologies will have a great future in recent years. Human life is becoming easier with the help of AI and ML.

Here you get to know more clear difference between Artificial Intelligence and Machine Learning. If you want to incorporate artificial intelligence and machine learning into your business Contact us. We are always ready to help you through our expert’s team.

Top 10 Practices for Writing Node.js REST APIs from Node Gurus

Here we will see the best practices for writing Node.js REST APIs. This includes topics such as authentication, naming your routes, black – box testing and also using proper cache headers for these resources. One of the most popular use-cases for Node.js is to write RESTful APIs using it. Let us see practices for writing Node.js REST APIs. 

Best practices for Writing Node.js REST APIs from Node Gurus-

1 – Use HTTP Methods & API Routes-

You can build a Node.js RESTful API for creating, updating, retrieving or deleting users. For these operations, HTTP has toolset:  POST, PUT, GET, PATCH or DELETE.

As a best practice, your API routes should always use nouns as resource identifiers. The routing can be look like: 

• POST /user or PUT /user:/id to create a new user
• GET /user to retrieve a list of users
• GET /user/:id to retrieve a user
• PATCH /user/:id to modify an existing user record
• DELETE /user/:id to remove a user.

2. Use HTTP Status Codes Correctly-

If something wrong with serving a request, you must set the correct status code in the response: 

• 2xx, if everything was okay,
• 3xx, if the resource was moved,
• 4xx, if the request cannot be fulfilled because of a client error (like requesting a resource that does not exist),
• 5xx, if something went wrong on the API side (like an exception happened).

If you are using Express, setting the status code is as easy as res.status(500).send({error: ‘Internal server error happened’}). Similarly with Restify: res.status(201).

3. Choose the right framework for your Node.js REST API-

It is necessary to choose the right framework. 

• Express, Koa or Hapi- These three are used to create browser applications. They support tempting and also rendering to name a few features. If application needs to provide user-facing side also, it helps for this. 
• Restify- Restify is focuses to help you for building REST services. It lets you build “strict” API services that can be maintained and observed. Restify also come with automatic DTrace support for all your handlers. For the production of major applications like npm or Netflix, it is useful.

4. Use HTTP headers to send metadata- 

To connect metadata about the payload you are going to send, use HTTP headers. 

• pagination
• rate limiting
• or authentication

If you require to set any custom metadata in your headers, it will be good to prefix them with x. For eg., if you are using CSRF tokens, it is a general way to name them x-Csrf-Token. Anyway with RFC 6648 they got deprecated. New APIs should try to not utilize header names that can strife with different applications. For eg., OpenStack prefixes its headers with OpenStack. 

OpenStack-Identity-Account-ID

OpenStack-Networking-Host-Name

OpenStack-Object-Storage-Policy

Make clear, that the HTTP standard does not define any size limit on the headers. However, Node.js (as of writing this article) imposes an 80KB size limit on the headers object for practical reasons.

5. Black-Box Test your Node.js REST APIs-

It will be the best way to test REST API by treating them as a black box. Black box testing is a testing method where the functionality of an application is analyzed without knowing its internal structure and also working. So none of the dependencies are mocked or stubbed, but the system is tested as a whole. Supertest module can help you with black-box testing Node.js REST API. 

A simple test case that checks if a user is returned using the test runner mocha can be implemented like this: 

const request = require(‘supertest’)

describe(‘GET /user/:id’, function() {

  it(‘returns a user’, function() {

    // newer mocha versions accepts promises as well

    return request(app)

      .get(‘/user’)

      .set(‘Accept’, ‘application/json’)

      .expect(200, {

        id: ‘1’,

        name: ‘John Math’

      }, done)

  })

})

As per your needs, you can populate database with test data with either of the following ways: 

• Run your black-box test scenarios on a known subset of production data,
• Populate the database with crafted data before the test cases are run.

6. Do JWT-Based, Stateless Authentication-

As your REST APIs must be stateless, so does your authentication layer. For this, JWT (JSON Web Token) is ideal.

It consists of 3 parts:

• Header, containing the type of the token and the hashing algorithm
• Payload, containing the claims
• Signature (JWT does not encrypt the payload, just signs it!)

Adding JWT-based authentication to your application is like-

const koa = require(‘koa’)

const jwt = require(‘koa-jwt’)

const app = koa()

app.use(jwt({ 

  secret: ‘very-secret’ 

}))

// Protected middleware

app.use(function *(){

  // content of the token will be available on this.state.user

  this.body = {

    secret: ’42’

  }

})

JWT module does not depend on any database layer. Because all JWT tokens can be verified on their own, and they can also contain time to live values.

7. Conditional requests- 

Conditional requests are nothing but the HTTP requests which are executed differently depending on specific HTTP headers. If these requests are met, the requests can be executed in different ways.

These headers attempt to check whether a version of a resource stored on the server matches a given version of the same resource. Hence these headers can be:

• the timestamp of the last modification,
• or an entity tag, which differs for each version.

These headers are:

• Last-Modified (to indicate when the resource was last modified),
• Etag (to indicate the entity tag),
• If-Modified-Since (used with the Last-Modified header),
• If-None-Match (used with the Etag header),

8. Embrace Rate Limiting-

This is used to control how many requests a given consumer can send to the API.

Set the following headers, to tell your API users how many requests they have left:

• X-Rate-Limit-Limit, the number of requests allowed in a given time interval
• X-Rate-Limit-Remaining, the number of requests remaining in the same interval,
• X-Rate-Limit-Reset, the time when the rate limit will be reset.

9. Create a Proper API Documentation-

You write APIs so that others can use them and also take benefit from them. Providing an API documentation for your Node.js REST APIs are crucial.

Below open-source projects can help you with creating documentation for your APIs:

• API Blueprint
• Swagger

10.Don’t Miss The Future of APIs-

In the previous years, two major query languages for APIs emerged – namely GraphQL from Facebook and Falcor from Netflix. Why these are necessary?

Imagine the following RESTful resource request:

/org/1/space/2/docs/1/collaborators?include=email&page=1&limit=10

This can get out of hand quite easily – as you’d like to get the same response format for all your models all the time. This is where GraphQL and Falcor can help.

Don’t know how to write Node.js REST APIs? Contact us for free consultation and any query regarding Node.js REST APIs. We at Solace are here to help you with our expert’s team.

Top 7 considerations for developing an effective MVP (minimum viable product)

https://solaceinfotech.com/blog/considerations-for-developing-an-effective-mvp-minimum-viable-product/

Many companies tried to many months or years to perfecting the product without ever collaborating it with the customer’s perspective. Ultimately, they fail often because they didn’t speak to their customers whether the product satisfies their needs or not. This affects the time and also cost of the company. Due to this, company might face the loss. Companies can create order, avoid bugs, and develop product suitable to end-consumers needs without investing more time, cost and efforts. The solution is Minimum Viable Product.

What is Minimum Viable Product ?

A minimum viable product (MVP) is a development technique in which a new product or website is developed with sufficient features to satisfy early users. After considering the feedback from the product’s initial users, a complete product is designed and developed with final set of features. The Minimum Viable Product(MVP) allows you to test the product in the real market conditions and with the ordinary customers. It helps to analyse product’s performance just by developing a partial product. It consist of only the necessary features and options that allow the company to release to the market.

Purpose of developing Minimum Viable Product –

The purpose of an MVP is to dispatch a product quickly, based on your idea, with a small budget. This allows to collect user’s feedback for primary release of product and also include it in future iterations. Building an MVP results in analyzing what your business is offering to users and what users actually need. An MVP helps in getting the quality feedback from users and focusing to build a quality product.

Considerations for developing Minimum Viable Product –

1. Identify the target audience-

It is important to analyze that who will use the system? end user or a specific market. The included features should be simple and efficient, if the app is going to be developed for a generic group. Due to this, end users can easily use it. For eg., e-learning portal developing for students . In such cases the product should be easy to use as the students will use it. Consider that students are the users of social media. In such cases, you should enable the sign-in functionality for logging in through social networking platform. If the product is developing for the administrative perspective it should include the detailed functionality as the system will be handled by the expert.

2. Identify budget and deadline-

As suggested, MVP is a process and is typically iterative. It’s not the final product. It is necessary to launch the MVP at the right time by taking account of the level of competition in the market and changing business requirements. So if MVP is not released at the right time, the features in the product may get outdated and your product might have to face the loss. The budget given to create MVP should be considered for deciding which features to include in the product as per the allotted budget. Identifying budget is also an important factor in a context of developers, because complex features needs to be developed by skilled developers, and they cost more than usual. In such cases identifying the budget is a key factor.

3. Identify most valuable features from end users perspective-

It is attractive to create an application which has essential features, so it becomes necessary to focus on the features which are considered to be the most valuable by end users. In short, your product should reduce the user’s efforts to achieve the goal. Consider the below questions to identify most valuable features.

• What problems are experienced by the target audience?
• Which features you should develop to remove these problems?
• For what reason would they need the features to be developed?
• Is there any solution already available in the market with the specific features?
• What is missing in the existing solution available in the market?

4. Implement as per current trends-

An MVP with old features and trends couldn’t stand out in the market resulting in the major loss of company. An MVP, you are developing should be simple, also it should not make trouble to end users to handle it. Don’t implement the multiple ways of doing the same thing because this could confuse the end user.

Now-a-days there are continuous changes in UI/UX standards so it is essential to keep up to date with new trends in the market. For eg., initially in mobile application, most of the clients required to have curved graphics in their applications because the trend was towards bigger and wider screen sizes. In contrast, now it is completely replaced by flat controls and material design standards as the trend turns towards user-centricity.  Also large graphics are now out of trend because they don’t have the ability to scale as per the changing screen resolutions. Therefore, it may lose the quality. Now vector graphics are in trend. So, this graphics used more widely.

5. Attract users to use the system –

Traffic is a helpful measurement to anticipate achievement. Engagement empowers you to measure the current value of the product and also the future value. As a result, this helps you to improve the user experience in final product delivery. Whether your product is for sometime or for a long time in the market, you will not succeed until you attract users to use your product. It is easy to say but hard to do. Attracting users can be difficult and challenging, and time consuming. To make it easy, it is good to use functionalities that attracts users to use your product.

6. Measure everything about the product-

Remember 3 key points-

• Always listen to your users.
• You are building products for the user’s benefit.
• Never hesitate to ask your users about what they want.

You might have been saved the details as they are necessary for the future implementations. There also have some good data point for launching the future releases-

-How users interact with the system?

-which are the most interesting features liked by users?

Such a data helps to build, measure, learn and develop the product. Due to different user commands, it is necessary to measure and analyze how the product is performing in the market. What is missing in the current product and also, what needs to be developed to attract the end users, these two points helps to analyze and develop an efficient product.

 

7. Use pre-launch page and market the product-

Normally, on the off chance that you need your item to succeed, it is very imperative to spread the news about the item and contact the most extreme end clients and this would be a key to it. For the most part, organizations forget to showcase their MVP and kept promotions for a later stage. This can be a wrong decision for the product. Because it may affect the number of end users of a product. Along these lines, to state, an item may have a tremendous interest in the market however clients may not know about its accessibility because of insufficient showcasing consequently driving the association to trust that there is no market for the item. So use pre-launch showcasing and market your market is the key factor in marketing your product before it launches.                                                         

Final words-

Following these considerations, while developing your MVP, it almost nullifies the possibility of product failure. Every organization should adapt the MVP. Finally,

Recognize problems + Overcome them + Right approach = Successful minimum viable product (that has maximum acceptance)

Consider these tips for developing Minimum Viable product. Contact us for any query regarding MVP. We already helped many organizations for building their MVP through our experts.

Swift VS Objective-C: Which language to Choose in 2019?

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Objective-C is the primary programming language that you can use for developing software for iOS. This language is a superset of the C programming language. It provides object-oriented capabilities and a dynamic runtime. While, in 2014, Apple launched Swift programming language for iOS mobile apps. This language is an alternative to Object C, an object oriented superset of the C programming language. Swift programming language is designed to be compatible with all existing iOS development tools—xCode, Objective-C, and the Cocoa framework. It is safe to use and has improved features, so it is replacing the Objective C. 

Disadvantages of Objective C-

1. As Objective-C is built on top of C, it lacks namespacing. All classes in an Objective-C application should be globally unique. So to avoid collision there is a convention of prefixing the names of classes. This is the reason we have the ‘NS’ prefix for the class in the Foundation Framework and the ‘UI’ prefix for the classes in UIKit.
2. The ability to send a message on a nil object without crashing and the lack of strict typing lead to bugs that are hard to trace and fix.
3. The language is syntactically verbose and complex, but this is expected given that it is a fairly old language.
4. Explicit pointers.

Advantages of Swift of being more popular-

1. It is an open source programming language.
2. Swift has a huge development community
3. it is faster, safer and easier to read and write
4. it supports dynamic libraries
5. Swift has better memory management.

Here we will see the reasons why one should use Swift for next iOS app development.

1. Swift is Faster-

New technologies need high speed of performance, and Swift is totally fulfilling this need. According to test analysis, it shows the same performance as C++ for the FFT and Mandelbrot algorithms. Swift is more young language so many improvements are going to be done in the future.

The reason why everyone is buzzing about the future of swift is simple that Swift is rapidly developing language. 

2. Easy to read and write-

Reason behind more use of Swift is its simple syntax. Hence the reading and writing of code is easy. While, Objective C requires more symbols, semicolon to end line, parenthesis surrounding conditional expressions inside “if” or “else” statements, etc. Swift does not any of these. Whereas it uses comma-separated list of parameters within parentheses. Implementing any option in Swift requires writing fewer code strings than Objective C language. This avoids mistakes so the code becomes cleaner. As a result, developers require less time to complete a complex task. Swift is easily understandable for programmers using Java, JavaScript, Python, C# and C++. They can easily adopt code written in Swift.

3. Swift is Safer-

Remember the nil pointer variables (uninitialized) in Objective-C turning the expression to no-operation and leading to app crashes? Just forget about this issue when using Swift. Swift was designed with safety in mind. It produces a compiler error, whenever you write wrong code. This implies all the bugs can be fixed at development stage without assessing the whole code a while later. 

4. Better memory management- 

One of the problems at Objective-C is ARC (Automatic Reference Counting), that is supported within the Cocoa API and object-oriented code. However, the code is not available for procedural C code and such APIs as Core Graphics. That prompts the immense leakage of memory. Swift has solved this problem by making ARK complete with the procedural and object-oriented code paths. Due to this programmers can focus on the app logic and its features instead of managing memory within an app.

5. Dynamic Libraries-

As per above discussion, Swift is a fast developing language. It also allows you to update your apps as soon as the new Swift version arrives. This is possible due to the use of dynamic libraries, presented together with iOS 8. Previously, the static libraries updates were performed together with such major updates like the new iOS version. Dynamic libraries for their part, allow connecting pieces of code directly to the app. This helps to keep your project updated, reduces the initial size of the app, and also speeds up a load of external libraries and minimizes the time needed to load new content.

Migrating from Swift to Objective-C is easy, too. Developers can take advantage of Swift’s advanced features by replacing chunks of app code written in Objective-C with Swift.

Swift is designed to work with the Cocoa Touch framework; you’ll just need to set up a Swift development environment in Xcode. Then, import Cocoa frameworks, APIs, and Objective-C code modules to get started.

Disadvantages of Swift:

1. Higher compile time.
2. No direct way of using C++ libraries.
3. Module format stability is still not achieved and is required for developers who want to share their code as a binary framework.

Conclusion-

Apple offers great interoperability between Objective-C and Swift. Also it is not dropping support for Objective-C in future. It is better for programmers to start migrating parts of their Objective-C code to Swift because it is ABI Stable now. Swift is now officially ABI stable and can be considered to be a mature language. The future updates in Swift would not break the current code written from now on in Swift 5.

1. If you are developing a binary framework, you should suggest waiting for Swift to achieve Module Format Stability.
2.  Also, if you are dealing with C++ and Objective-C++ codebase or framework, then you would need a mix of Objective-C and Swift. The Objective-C part can interface directly with the C++ or Objective-C++ parts of your code and the Swift part can then use Objective-C classes to interact with the C++ or Objective-C++ code.

Confused to choose the swift or Objective C for ios development? Contact us for a free consultation and solution regarding Swift vs Objective C. We at Solace are here to help your businesses to best ios development through our experts.

Node 8: Six New Features You must Know

https://solaceinfotech.com/blog/node-8-six-new-features/

A new version of Node.js is released which is Node 8. It came up with the new features that are true improvements to the LTS release line. These new features include as Ignition and TurboFan for V8 JavaScript Engine.

Node 8 will use V8 5.8 with ABI compatible with V8 6.0. This will provide better performance, a stronger support contract with V8 and a smaller delta between Node 8 and 9 as indicated by Node.js Collection. 

Features-

1. Async Hooks API- 

Async Hooks is a new experimental feature shipped with Node.js that goes deep into what a Node.js process is doing. It allows you to pull out a large amount of analytical information about that process. The Async Hooks (Formerly known as AsyncWrap) API got a notable upgrade to the latest version. This API enables you to get structural tracing information of the life of handle objects. The API emanates events that illuminate the customer about the life of all handle objects in Node.js. It attempts to settle comparable difficulties as the continuation-local-storage npm package, just in the core. Previously, a package called ‘co’ was used to utilize generators to write asynchronous code to create a more readable control flow. Now, this control flow can be implemented without the need of a third-party library. 

2. Buffer security improvements in Node 8-

There are 2 buffers, the first is zero filling Buffer and the second is a new Buffer. These both buffers are added by default. However, previously, the memory space was not initialized with zero. And hence one has to face  security issues because the Buffer instance had sensitive information. The upgrading with new version allows people to secure their privacy. However, it is advisable for the Node.js 8 users to first be aware of the risks involved in function and only then use to avoid the leakage of secure information. Though there is also a problem that you have to take performance hits. But it is good to process further with buffer.allocUnsafe (). 

3. TurboFan and Ignition-

With the new version of Node.js 8, you will find something entirely new V8 6.0. Here the, JavaScript runtime from Chromium that, by default powers the execution of JavaScript within Node.js. TurboFan and Ignition are the major updates to the internals of V8. It brings impressive performance gains with a variety of JavaScripts operations.

“The combined ignition and Turbofan pipeline have been in development for almost 3½ years. This shows the culmination of the collective insights that the V8 team has gleaned from measuring real-world JavaScript performance and carefully considering the shortcomings of Full-code gen and Crankshaft. It is a foundation with which we will be able to continue to optimize the entirety of the JavaScript language for years to come.”  

4. N-API-

This API will be the Application Binary Interface(ABI) stable with the versions of Node.js. This is proposed to protect Addons from changes in the hidden JavaScript engine. And it allows modules compiled for one version to run on later versions of NOde.js without any recompilation. The API is currently experimental. It is not depend on the underlying JavaScript runtime and is maintained as part of Node.js itself.

• JS Binding for the Inspector– The new Inspector module allows developers to leverage the debug protocol. This tool is used by the Chrome inspector to inspect currently running JavaScript code. 
• util.promisify()– This allows developers to wrap callback APIs to return Promises. The function works with little overhead and follows a standard API. 

5. HTTP/2-

It is a big update to Node.js which is carried out by Node.js 8 LTS. It came to function recently after exhaustive and long-term work driven by James Snell to discuss and make the difficult decisions about specific implementation details of HTTP/2 across the current HTTP implementation in Node.js core. The working path of HTTP/2 is different than the way Node.js developers have come to expect HTTP in Node to work. Hence there are some new and interesting workflows to learn.  

6. npm@5-

Formerly, Node.js 6 LTS came up with npm@3. This has brought some nice improvements to the previous versions. With the new Node.js 8 LTS, npm@5 brought some attractive features and performance. Some new features include lockfiles, local caching with offline fallbacks, SHA512 checksums and also a bunch of smaller features. In the context of performance, one can expect up to 5x performance increase in the best cases. In average you can expect 20-100% faster npm installs. 

Final Words-

Node.js version 8 also came up with a lot of interesting improvements such as Async Hooks API which is little bit difficult to adapt with current state of its documentation. All the new features with Node.js 8 not only improves the performance but also efficiency. 

Want to us use Node in you application? Be updated with the new features and appliactions of Node 8. Contact us for free consultation or any query. We are here to help you for upgrading with Node 8.

This is what Node.js is used for in 2018

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Popularity of JavaScript has brought with it many changes. Hence the appearance of web development causes a drastic change. Things that we can do today with JavaScript with running on server as well as in the browser were difficult to imagine before some years ago. 

As Wikipedia states: “Node.js is a packaged compilation of Google’s V8 JavaScript engine, the libuv platform abstraction layer, and a core library, which is itself primarily written in JavaScript.” 

In short, Node.js getting popularity in real-time web applications utilizing push technology over websockets. After over 20 years, we finally have web applications with real-time, two way connections. Due to this both the client and server can initiate communication, which allows them to exchange data freely. This is as a distinct difference to the usual web response paradigm, where client always initiates communication. It is all based on the open web stack(HTML, CSS and JS) running over the port 80. Due to al these advantages, Node.js plays an important role in the technology of many reputed companies who depend on its unique benefits.

What you can do with Node.js?

-You can generate dynamic content

-Can create, open and read or delete files on the server.

-Collect and modify in the database.

Why use NodeJS?

The main advantage of NodeJS is that this JavaScript language doesn’t block I/O – meaning input/output communication method. Here, the developer community has two views. Some argue that applications with many CPU cycles can crash them. Others say it’s not a big deal because Node code works in small processes. 

Another advantage is single-threaded event loop. This is responsible for abstracting I/O from external requests. Clearly, this implies that Node initiates the event loop at start, process the input and start the order of operation. 

Realizations on why use Node JS–

•  For server side applications. Means, Node is an event-driven model of programming. In NodeJS, the flow is determined by certain events(messages, user actions etc.)
• Google JavaScript engine. Translation: results in fast and scalable web apps.
• Easier and scalable. Hence, useful in building an apps like Uber or Trello and scaling out on multi-CPU servers. 
• Node can scale on individual process basis, spreading out the load across multi-core servers. 

10 Main reasons to use NodeJS-

• NodeJS has ability to keep data in native JSON(object notation) format in your database.
• Good to create real-time apps, for eg., chats and games.
• It is fast because of the Google innovative technologies and the event loop.
• NodeJS has wide range of hosting options.
• It is good for data streaming, so useful for audio and video files.
• Single free codebase
• NodeJS ahs multiple modules( such as NPM, Grunt etc) and also have a supportive community.
• It is sponsored by Linux Foundation as well as , PayPal, Joylent, Microsoft, Walmart
• JS is the longest running language.
• It is good for beginners. Also is simple to learn having rich frameworks(Angular, Node, Backbone, Ember).

Benefits of NodeJS-

• Linux Support
• Hosting options
• Data streaming
• Free codebase
• Good for chats and games
• Have multiple modules
• Easy to learn 
• Fast working
• Native data format

NodeJS is used for-

Streaming Data-

For eg.,real time file-uploading, file encoding while uploading, building proxies between data layers.

Web Applications-

Classic web apps on the server side, using NodeJS to carry HTML. Main advantage is- more SEO-friendly content.

Chats/RTAs-

Useful for lightweight real-time applications, like messaging app interfaces, Twitter, chat software. A simple chat is a great example of Node use.

Single page apps-

Helpful for modern web applications, heavy on processing on the client side. Positive response times and sharing data between server and client is good for such apps.

APIs-

REST/JSON programming interfaces and exposing databases or web services through it.

Dashboards-

Useful for Web application or system monitoring dashboards that allows tracking user actions. Node can visualize such interactions for real time.

Proxy-

To deploy Node as proxy to handle connections in non-blocking way. Great for app working with external services, exporting and importing lots of data.

Conclusion-

As per above benefits you can use NodeJS for more effective and responsive web application.

Why you should use Node.JS ? Be updated with benefits and features of Node.JS. We are here to help you for Node.JS development. Contact Us for any query or free consultation.

Shopify Vs Magento Vs Opencart : Which One to Choose?

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As the world is moving towards digital solutions, many startups and small businesses are struggling to choose the best e-commerce development platform as per the requirement of client and also the budget. Selecting a best e-commerce platform at the early stage not only helps to build a strong responsive website but also to reduce the cost of changing the platform on laterwords. Ecommerce platforms gives businesses the ability to customize product information and how it’s approached to best fit their own online retail needs, which can be a shared benefit for both the business and its customers. There are many e-commerce platforms available, for eg., wix, Shopify, Woocommerce,  BigCommerce, Magento, Jimdo, LemonStand, Opencart, osCommerce, 3dcart, Weebly. Selection among them is a crucial work. This big list can complicate you. So let’s compare the top 3 E-commerce platforms- Shopify Vs Magento Vs Opencart.

1. Shopify-

Shopify is more popular e-commerce platform for its user friendly and alluring appearance. This e-commerce platform is mobile friendly and also it can be edited in HTML and CSS directly. It also has impressive and  good- looking designs. It also be able to cover any speciality and kind of a business. Shopify offers unlimited bandwidth, multiple payment gateways and order management features same as Magento.

The most important thing is client support and shopify offers 24/7 customer support. There are a few different ways that get in touch with  are Live chat, email, phone, twitter. Shopify offers ease of use for the signup, dashboard, product listing and setting which turns in more user friendly platform. Shopify has different sales channels, including point of sale, facebook module and simple buy button. Sites of Shopify offers gift cards facility which separates it from other ecommerce platforms which only offers coupons, codes and discount. Shopify can be preferred for fast deployment of e-commerce website. It will be a good choice for small and medium businesses. Shopify is highly SEO-friendly platform. It includes main needed SEO features in all plans: editable title tags, meta descriptions, pages URLs, ALT tags for images, customizable image file names, etc.

2. Magento-

Magento is one of the most popular and open sourced Ecommerce platforms among all. It comes with a professional look and well-organized categories. To be more user friendly is an important thing for every platform and Magento completely fulfills it. It offers different levels for different business requirements. It also has 100+ themes available for the selection. This results in attractive appearance and collaboration of a website. Magento is powerful e-commerce platform for large and fast growing businesses. Magento provides special free and paid educational courses, which would help to understand platform’s features better.

It offers multiple payment services integrated with Amazon Payments, PayPal, Authorize.net and google checkout. Magento has one page check- out facility in payment, and so customers can get through the final steps of purchase more quickly. Keeping the statistics of business made simple due to great analytics module with reports and stats available magento. Magento becomes more user reliable because it has unlimited bandwidth. The higher the bandwidth the faster your information will be accessible to you customers. Magento is among leading ecommerce platforms, because it is extremely SEO-optimized and offers extensive SEO functionality. Magento has an extensive developer community. And near about each platform related question is already answered.

3. Opencart-

Opencart is fast growing and well known ecommerce platform. It is free to download, use and upgrade. In a case of extended features with opencart, you need to pay for it. It has simple and easy to use interface. It is one of the most lightweight ecommerce platforms. Opencart supports multiple currency and language support. It also supports multiple payment gateways and shipping features. Code of Opencart is easy to understand and also to modify as compared to other systems. It has more modules available so that you can add more features in the system which is present by default. It possess its own official store to list free as well as paid modules. 

Development cost in Opencart is low as compared to other ecommerce sites. Also, Opencart allows you to set advanced user privileges and separate access for user groups and users. This ecommerce platform comes with an inbuilt Affiliate system, where affiliates can promote specific products and get paid for this. It also offers discounts, coupons and specials to cover the most popular ways to get attention and increase sales. This framework allows you to set up your own backup and restoration. Don’t bother about the number of products to sell. Opencart allows you to sell upto 1000000 products, which is more than sufficient. Opencart has 208 integrations including MailChimp, Xero, QuickBooks etc. It is best suitable for large businesses.

Bottom Lines-

Whether you are big, medium or a startup enterprise, just go through your requirements for choosing the best e-commerce platform between Shopify vs Magento vs Opencart. Your best choice is depends on the requirements, functionality and support needed.

Confused to choose the best e-commerce platform among Shopify, Magento and Opencart? Here you will get know the best selection. Contact Us for any query or free consultation.