According to the Stack Overflow Engineers Survey 2021, Node.js is the most popular framework among software developers' various technologies. The reason for this is that Node.js allows you to create a wide range of apps, from real-time conversations to SPAs and IoT solutions. As a result, if you're evaluating which framework to add to your tech stack next, Node.js is worth considering.
We cover all you need to know about Node.js in this post, as well as a Node.js developer roadmap for beginners.
Software developers can use Node.js to create a variety of applications, including:
It is possible due to the non-blocking input-output mechanism and event-driven functionality which makes Node.js an effective and lightweight solution for running data-intensive real-time applications on distributed devices.
The most popular digital companies that use Node.js to build their applications include PayPal, LinkedIn, Netflix, Uber, GoDaddy, NASA, eBay, Walmart, and others.
The average yearly pay for a Node JS Developer in India is 4.5 lakhs, with salaries ranging from 1.8 lakhs to 10.5 lakhs.
In India, the average salary for a full-stack software developer with Node. js skills is Rs.535,000. As a Full Stack Software Developer with less than a year of experience, you can expect to make an average total compensation of Rs.357,800 (which includes tips, bonus, and overtime pay).
What are the most popular Node.js developer roadmap trends to follow in 2023? Let’s have a look at the most outstanding ones.
Businesses in gaming, e-commerce, social networking, and other industries have embraced real-time apps. These apps operate in real time, providing their users the impression of instant reaction. Real-time apps have a latency of seconds and are used to create online games, videoconferencing applications, instant messaging apps, and other applications. All of these apps demand a lot of processing power on the backend, which Node.js excels at. Learn how to become a back end developer from here.
Stacks of MEAN and MERN
MEAN (MongoDB, Express, Angular, Node.js) and MERN (MongoDB, Express, React.js, Node.js) are strong stacks for creating basic and sophisticated solutions, respectively. The implementation of Angular or React frameworks is the major distinction between the two stacks.
Explore how to become a mean stack web developer by checking out here.
Model-View-Controller development paradigm, two-way data binding, modularization, and other features are all included in Angular. It enables the creation of interactive, dynamic, and contemporary SPAs using clean and simple code.
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React.js is a lightning-fast framework for creating UI’s and its components, as well as Single-Page Applications. It has a virtual DOM and is solely concerned with the view layer. React.js is a lightweight and easy option for rapid web application development because of these qualities.
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Node.js developers may concentrate on the application's functionality rather than setting servers or worrying about numerous HTTP entry points thanks to serverless design. Cloud computing platforms are in charge of all of this. As a result, software developers may profit from serverless architecture in a variety of ways, including:
The use of GraphQL instead of RESTful API technology is a feasible option. This API server-side runtime returns the precise data from the databases that the user requested. As a result, this technique looks to be quicker and more versatile than conventional REST.
GraphQL has recently attracted the attention of many developers all around the world. Airbnb, Atlassian, Compara, Coursera, PayPal, Pinterest, and others are among the most well-known GraphQL users. To create apps with well-structured queries and data replies, many software developers integrate their Node.js-based applications with GraphQL technology.
The microservice architecture enables enterprise-level projects to be developed with code that is easy to maintain and adapt. It divides an application's architecture into loosely linked modules that communicate with one another using APIs.
Software developers may use microservice architecture to design programmes in tiny, quick iterations, scale them quickly, and develop them faster. To create microservice architectural solutions, Node.js leverages the Docker containerization technology and Kubernetes Services.
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Version Control Systems (Git, GitHub):
You don't want to find yourself in a scenario where you've made a mistake in your code and have no idea how to fix it. You can handle huge projects with VCS like Git, and if you're already familiar with VCS, make sure you understand the fundamentals of Version Control Systems.
A basic grasp of how data is transported via transfer protocols can help you become a better Node.js developer, and every backend developer should have a strong understanding of how HTTP and HTTPS function. To secure communications, HTTPS employs the Transport Layer Security (TLS) encryption protocol.
There is a lot to learn in the backend environment, and if you don't know how the web works, it might be a little confusing. There are four request methods that are responsible for any fundamental communication on the web:
GET: To get a representation of a resource, use this method.
POST: To generate fresh resources
PUT: Used to update capabilities
PATCH : Used to modify capabilities
DELETE: To remove a resource indicated by a URL, use this command.
OPTIONS: For a particular URL or server, request an allowed communication option.
Express.js: Provides a very basic interface and tools for building our application, is extremely versatile to use, and comes with a number of npm modules that can be inserted right into Express.
Sails.js: You can easily create REST APIs, single-page apps, and real-time apps using an MVC framework. If you want to learn some serious skills, Sails.js is a great choice since it offers numerous advantages, like real-time support for WebSockets and a “convention over configuration” approach.
Koa.js: Koa.js is a fantastic choice if you want to develop reliable, future-proof, and easy-to-maintain apps. A Koa application is an object that contains an array of middleware functions that are then stacked and performed.
Nest.js: It's inspired by Angular and written using TypeScript, but it's powered by Express.js, making it compatible with most Express middleware. Nest.js provides a fantastic modular structure for arranging code into distinct modules, allowing you to create an efficient and scalable application.
You'll be working with a lot of backed things when learning Node.js, so if you're a newbie, stick to MySQL or SQL at first. Going beyond SQL or MySQL is case dependent when you deal with new sorts of projects and there's a chance you'll need to learn other backend stuff, as you'll receive a clear and straightforward explanation of how we construct backend systems.
SQL Server: Microsoft's relational database management system that supports ANSI SQL (a standard SQL language). SQL, on the other hand, has its own implementations.
MySQL: Another excellent database management solution for creating relational databases. Oracle's open-source backend software; we also have the flexibility of choice with MySQL because we can alter the source code to meet our demands. In comparison to Oracle Database and Microsoft SQL Server, MySQL is a more simple option.
PostgreSQL: It is open source, it was created by a global team of developers. It operates on Linux, UNIX, and Windows, among other operating systems. Complex SQL queries, Foreign Keys, Triggers, Transactions, Multiversion concurrency control (MVCC), Streaming Repllicartons, and other excellent features are all supported by PostgreSQL.
MariaDB: An enhanced version of MySQL that includes a number of sophisticated capabilities, security, and performance enhancements not found in MySQL. For large-scale projects, there are numerous reasons to choose MariaDB rather than MySQL. MariaDB, for example, has a bigger connection pool that can accommodate up to 200,000+ connections, whereas MySQL has a smaller pool. MariaDB is, in a nutshell, quicker than MySQL.
A worldwide distributed database service that allows you to manage your data remotely. Using cloud databases has numerous advantages, such as making scaling and managing large applications easier using the tools that Microsoft Azure provides for scaling and distribution.
It also supports different data models with a single backend, making it suitable for document, key-value, relational, and graph models. It's a NoSQL database since it doesn't rely on any schemas, although it does support query language and ACID transactions.
If you already have some SQL expertise, Amazon DynamoDB is a wonderful choice. It is a fully managed NoSQL database service that provides quicker and predictable performance with incredible scalability. You can design database tables that can store and retrieve any amount of data and handle any amount of traffic.
MongoDB: MongoDB is a document-oriented NoSQL database designed for high-volume data storage. Whereas conventional relational databases employ tables and rows, MongoDB utilises collections and documents.
A document in MongoDB is made up of key-value pairs, which are the fundamental unit of data, while a collection is made up of sets of documents and functions, which are the equivalent of tables in relational databases.
Redis: We can deal with databases, caching, and message brokering with Redis. It stores data in the form of key-value pairs using data structures such as strings, hashes, lists, sets, bitmaps, hyperloglogs, and geographical indexes. Here's an example of where we utilise Redix if you're still unsure.
A distributed database that is highly scalable, high-performance, and intended to manage a huge quantity of data across several servers with no single point of failure. It differs from other relational database management systems in that it was developed at Facebook. The data model is built on Google's BigTable, while the distributed architecture is based on Amazon's DynamoDB.
A serverless document storage with a highly lightweight and fast.NET NoSQL integrated database. LiteDB may be used in tiny desktop and online apps that employ a single database per account store for each user.
A Java-based search and analytics engine based on Apache Lucene. ElasticSearch allows you to store and analyse large amounts of data in real time.
ElasticSearch has excellent search performance because it searches the index rather than the text. It stores and searches data using structure-based documents rather than tables and schemas that come with comprehensive REST APIs. ElasticSearch may be thought of as a server that handles JSON queries and returns JSON data.
Field search, boolean queries, phase questions, fuzzy queries, spell check, auto-complete, and many more sophisticated real-time searching features are available.
Caching is the practise of keeping copies of files in cache memory so that they may be accessed quickly via the network, minimising network calls.
Caching is frequently connected with memory in servers, this approach is also known as caching. A part of the server's memory is utilised as a cache in this method, where we store all of the data necessary to decrease network calls in our applications. Node-cache and memory-cache are two excellent packages for managing memory cache in a Node server in Node.js.
We aggregate the memory of several networks into a single memory data store in this caching approach, which we then utilise as the ultimate data cache to provide rapid access to the data.
This approach is particularly useful when there is a lot of data and a lot of network requests at the same time since it allows for gradual expansion and scalability by adding more server RAM to the cluster. When it comes to distributed caching, Redis is one of the most well-known options, but Memcached can take you much farther.
We may use static template files in our application by using template engines, which during runtime update the variables in a template file with actual values and then turn the template into an HTML file that is given to the client. Some of the most common template engines are listed below.
If you're just getting started as a backend developer, there's a lot to learn about real-time communication in Socket.IO. The core logic underlying real-time communication is shared by the client and the server.
It enables bi-directional data flow between the client and the server; you can think of bi-directional data flow as the synchronous flow of data between two terminals to achieve real-time communication behaviour; these types of behaviour are enabled when the client has Socket.IO installed in the browser and the server has the Socket.IO package installed. And the information may be supplied as JSON requests.
APIs were formerly built around a remote procedure call (RPC), and the APIs seemed to be locally run code. Many systems attempted to tackle this problem by utilising RPC-like stacks to obscure the fundamental problem, and then REST was developed to improve the development of web-based APIs.
Under the REST design, simple HTTP requests are utilised to interact rather than more sophisticated options like COBRA, COM+, or RPC. RESTful calls are made using messages that are specified using HTTP standards. In the Node.js environment, you may pick between node-rest-client and Axios, both of which provide outstanding speed for web applications.
GraphQL is a fantastic alternative to REST since it makes use of APIs that prioritise providing clients with exactly the data they need. It's a developer-friendly option since it can be used in an IDE called GraphiQL. You may also add or remove fields without affecting current searches, and construct APIs using whichever technique you want.
Node.js is used by software developers because it can handle a large number of simultaneous requests, has excellent app scalability, and is simple to install and use. To become full-stack engineers, many front-end developers learn Node.js.
This framework is used by businesses because it enables the development of robust, cross-platform, and real-time applications. Companies may use this method to integrate streaming and instant-messaging capabilities into their apps, making them more engaging and effective. Hope this node js developer roadmap blog would have enlightened you on becoming a node js developer.
Many experts say whether is node js worth learning 2023 or not depends on your preferences. However, before you answer, you must know that Node js popularity in 2023 is expected to grow even more.
When it comes to servers that do numerical computations and machine learning, Python is the superior choice, whereas Node js shines in most sorts of web services, especially real-time apps. Unlike Python, NJS enables asynchronous programming by default, allowing for greater scalability and performance.
The average yearly income for a Node JS Developer in India is 5.0 Lakhs, with salaries ranging from 1.9 Lakhs to 12.0 Lakhs. In the USA, the typical node js developer makes $120,000 a year, or $61.54 an hour. Most experienced professionals earn up to $149,731 year, while entry-level occupations start at $100,063 annually.
One should go through the following steps to become a node js developer
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