Top 5 Must-Know Development Technologies for 2023

There has been a surge of frontend technologies in recent years. So it becomes all the more difficult a choice to make. If you are looking for the best web app development technology to use for your next project, then here is a list of the Top 5 to help you get started.

Edge Computing and IoT

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the source of data, rather than relying on a centralized data center or cloud. This can greatly benefit the Internet of Things (IoT) as it allows for faster processing and response times, lower latency, and reduced network congestion.

When it comes to IoT, edge computing can be used in several ways:

• Data Filtering: Edge devices can be used to filter and pre-process large amounts of sensor data before it is sent to the cloud for further analysis. This can help to reduce the amount of data that needs to be transmitted, which can help to reduce network congestion and improve response times.
  
• Real-time Processing: Edge computing allows for data to be processed closer to the source in real-time, which can be crucial for many IoT applications that require low latency. For example, in industrial automation, edge computing can be used to monitor and control equipment in real-time, which can help to reduce downtime and improve efficiency.
  
• Reduced Latency: Edge computing can help to reduce the latency in the communication between IoT devices and the cloud or data center, allowing for faster response times and better user experiences.
  
• Offline processing: Edge devices can process data locally, even when they are offline, which is useful in scenarios where internet connectivity is limited or unreliable.
  
• Security: Edge computing can help to improve security in IoT systems by allowing for data encryption and processing at the edge devices, which can reduce the risk of data breaches.
  
• Cost savings: By processing data at the edge and reducing the amount of data that needs to be transmitted to the cloud, edge computing can help to reduce costs associated with data storage and transmission.

IOT Use Case:

SUPPLY CHAIN MANAGEMENT: The Internet of Things (IoT) has the potential to revolutionize supply chain management by enabling real-time tracking and monitoring of goods, vehicles, and equipment throughout the entire supply chain process.

IoT sensors and devices can be used to track and monitor the location, condition, and movement of goods, vehicles, and equipment in real-time. This can help supply chain managers to better understand where goods are in the supply chain process, and to identify potential bottlenecks or delays.

IoT sensors can be used to monitor the condition of equipment and vehicles, and to predict when maintenance is needed. This can help to reduce downtime and improve the overall efficiency of the supply chain.

IoT devices can be used to automate various tasks in the supply chain, such as tracking goods and vehicles, monitoring equipment, and managing inventory.

2. Blockchain

Blockchain is the latest trending technology that has been evolving for the past few years. We all know that it is the technology that powers Bitcoin and other cryptocurrencies. But Cryptocurrency is only one application of the Blockchain. Being a secure, decentralized, digital ledger that it is, Blockchain has the potential to transform many industries by facilitating trustless transactions. Industries are collaborating with each other to push this revolutionary technology forward.

Benefits of the Blockchain

• Decentralization: Blockchain allows for the creation of decentralized networks, which means that no single entity controls the network or the data stored on it.
  
• Immutability: Once data is recorded on a blockchain, it cannot be altered or tampered with, providing a high level of security and trust.
  
• Transparency: Transactions on a public blockchain network are visible to all parties on the network, creating a transparent and accountable system.
  
• Faster and cheaper transactions: Blockchain technology allows for faster and cheaper transactions, as it eliminates the need for intermediaries and reduces the need for trust-based systems.
  
• Smart contracts: Blockchain technology enables the creation of smart contracts, which are self-executing contracts with the terms of the agreement written directly into code that is immutable.

Some Applications of Blockchain:

Identity Management: Identity management on the blockchain can help industries by providing a secure and decentralized way to store and manage identity information. This can improve efficiency and security in various processes such as onboarding new customers or employees, verifying identities for financial transactions, and ensuring compliance with regulatory requirements. Additionally, the use of blockchain technology can provide a tamper-proof and immutable record of identity information, which can help prevent fraud and improve trust in digital transactions. It can also provide a more efficient way to share and verify identity information among different organizations, without the need for intermediaries.

Supply Chain Management: Blockchain technology is being used to create an immutable record of all the transactions in a supply chain, increasing transparency and traceability of commodities that are time and climate sensitive. The supply chain industry can benefit from automation using Smart contracts and this can speed up the process and reduce the need for intermediaries. Blockchain-based supply chain systems can use real-time tracking of inventory and supply chain data, thus helping organizations to make more informed decisions and improve their overall efficiency. Blockchain-based systems can also help organizations to comply with regulatory requirements by providing a permanent and tamper-proof record of supply chain data, making it easy to demonstrate compliance when necessary.

3. Progressive Web Apps

Progressive Web Apps (PWAs) continue to evolve as the new web standard that allows developers to create web apps with several advantages like making them accessible offline too.

PWA or Progressive Web Application is an emerging technology that enables web applications to run across all platforms and mobile devices. Developed with standard web technologies and enrichened with latest JavaScript features, PWA’s give blazing-fast pages thus enhancing user engagement and increasing conversion rates. PWAs help us overcome the shortcomings that responsive web pages face when compared to native mobile apps. Essentially Progressive Web Applications (PWA) are web applications that offer a native app-like experience.

A PWA is a website based on the mobile-first design approach, aimed at giving the end-user the advantage of a native mobile application experience over the browser. In other words, PWAs are optimized mobile-web pages that deliver app-like functionality.

One of the main constituents of the PWA Architecture is the Service Worker, which is essentially a background script file that runs independent of any web page. Some features of a PWA – like push notifications, offline work mode, background syncs, and so on are supported by this component.

Benefits of PWAs

• Offline functionality: PWAs can work offline allowing users to access content and perform actions even when they don’t have internet access.
  
• Add to Home Screen: PWAs can be added to the home screen of a user’s device, providing a seamless experience and easy access to the app.
  
• Push notifications: PWAs can send push notifications to users, keeping them engaged and informed about new content or updates.
  
• Fast loading: PWAs are designed to load quickly, even on slow networks, providing a smooth user experience.
  
• Cross-platform compatibility: PWAs can run on any device and operating system that has a web browser, making them accessible to a wide range of users.
  
• Easy to maintain: PWAs are easy to maintain as they are web-based and can be updated through the web, rather than through the app stores.
  
• SEO friendly: PWAs are indexed by search engines, making it easier for users to discover the app and increase the organic traffic.
  
• Lower development cost: PWAs are cheaper to develop and maintain than native apps, as they don’t require separate development for different platforms.
  
• Better conversion rate: PWAs have been found to have a higher conversion rate compared to traditional web apps, as they provide a more seamless and engaging user experience.

4. Frontend JS Frameworks: Vue.Js, Next.Js, 

There are several popular JavaScript frameworks that are currently being used for web development.
React and Angular are the most popular JavaScript frameworks for building frontend web applications.
Some other trending Javascript frameworks are…

• Vue.js: Vue.js is a JavaScript framework for building user interfaces. It is similar to React and Angular and is known for its simplicity and flexibility.
  
• Svelte: Svelte is a relatively new JavaScript framework that is gaining popularity due to its approach of handling the state of the application and its small runtime size.
  
• Next.js: Next.js is a JavaScript framework for building server-rendered React applications. It is built on top of React and Webpack and provides features such as automatic code splitting, server-side rendering, and static site generation.
  
• Ember.js: Ember.js is a JavaScript framework for building web applications. It follows the convention over configuration principle and provides a powerful set of tools for building ambitious web applications with a routing system, an object-relational mapping (ORM) library, and a built-in development server.
  
  These are some of the more popular JavaScript frameworks, but there are many other options available as well. The choice of framework will depend on the specific needs of your project and the preferences of your development team.

5. Artificial Intelligence/Machine Learning[AI/ML]

Artificial Intelligence (AI) and Machine Learning (ML) continue to evolve and are being integrated into a wide range of industries, from healthcare to finance to manufacturing. These technologies will continue to play a significant role in automating tasks, analyzing data, and making predictions.

Artificial Intelligence (AI) and Machine Learning (ML) are related but separate fields. AI is a broad field that encompasses different subfields like computer vision, natural language processing, and robotics. AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans.

Machine Learning (ML) is a subset of AI that deals with the development of algorithms and statistical models that enable systems to improve their performance with experience. It enables computers to learn from data, without being explicitly programmed. There are different types of ML such as supervised, unsupervised, semi-supervised and reinforcement learning.

Deep learning is a subset of ML that deals with neural networks with multiple layers, it’s inspired by the structure and function of the brain’s neural networks. Deep learning is used in image recognition, natural language processing, and speech recognition.

AI and ML are being used in various industries like healthcare, finance, retail, manufacturing, and transportation. They are also being used for various tasks like image recognition, natural language processing, predictive maintenance, speech recognition and chatbot.

Some of the ways that AI and ML are being used in finance include, Fraud detection, Risk Management, Portfolio management, Credit scoring, Predictive Maintenance, etc.

Some of the ways that AI and ML are being used in healthcare include Diagnostics and Imaging, Drug discovery and development, Personalized medicine, Robotic Surgery, EHR Management, etc.

Some more that need a mention…

There are many other techstacks and programming languages that need a mention in this post. So here is a list of a few to end with…

• .NET Core is a cross-platform, open-source, and modular version of the .NET framework that can run on Windows, Linux, and macOS, allowing for greater flexibility in terms of deployment and development. Moreover being Open-source, developers can access and modify the source code, and contribute to its development.
  
• Popular Node.Js frameworks for server-side development that are widely used are Express, Koa, Nest, Meteor, LoopBack, They are used to build APIs and high-performing server-side applications.
  
• Python is a widely-used, high-level programming language that is known for its readability and ease of use. Python is a versatile language and it can be used for a wide range of tasks such as web development, scientific computing, data analysis, artificial intelligence, and more.
  
• Elixir is a functional, concurrent, and general-purpose programming language that runs on the Erlang Virtual Machine (BEAM). Elixir is built on top of the Erlang ecosystem and it inherits many of its properties such as fault-tolerance, low-latency, and scalability. Elixir is gaining popularity as it provides Concurrency, Scalability and Fault-tolerance.
  
• Rust is a systems programming language that is designed to be fast, safe, and concurrent. It is often used for systems programming, game development, and embedded systems. Rust is gaining popularity due to its focus on safety and its ability to create high-performance systems with low overhead.
  
• Kotlin is a cross-platform, statically typed, general-purpose programming language that is fully interoperable with Java. It is often used for developing Android apps. Kotlin is gaining popularity due to its concise syntax, improved type inference, and improved performance compared to Java.
  
• Julia is a high-level, high-performance, dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. Julia is gaining popularity in the scientific and data science communities due to its ability to handle large-scale numerical and scientific computing workloads.
  
• Go is a statically typed, compiled, and concurrent programming language developed by Google. It is often used for building web servers, network services, and distributed systems. Go is gaining popularity due to its efficient memory management and its ability to handle high-concurrency systems with low overhead.
  
• Swift is a powerful and intuitive open-source programming language for iOS, macOS, watchOS, and tvOS. Swift is gaining popularity among developers due to its modern syntax, improved performance, and improved safety features compared to Objective-C.
  

Conclusion

Every business process or idea needs a suitable tech stack to convert it into an online application. Don’t mess up on selecting the right development technology! 

Contact us today to understand which tech stack is most suitable for your idea. 

We can help you develop a modern, high-performing web and mobile application that meets your specific business needs perfectly.